{"id":20390,"date":"2020-07-21T20:36:55","date_gmt":"2020-07-21T12:36:55","guid":{"rendered":"https:\/\/swarma.org\/?p=20390"},"modified":"2020-07-21T20:36:55","modified_gmt":"2020-07-21T12:36:55","slug":"%e9%9b%86%e6%99%ba%e6%9c%80%e9%ab%98level%e7%9a%84%e5%ad%a6%e6%9c%af%e4%bc%9a%e8%ae%ae-%e9%9b%86%e6%99%ba%e5%87%af%e9%a3%8e%e7%a0%94%e8%af%bb%e8%90%a5%e5%85%ac%e5%bc%80%e6%8b%9b%e5%8b%9f","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=20390","title":{"rendered":"\u96c6\u667a\u6700\u9ad8Level\u7684\u5b66\u672f\u4f1a\u8bae | \u96c6\u667a\u51ef\u98ce\u7814\u8bfb\u8425\u516c\u5f00\u62db\u52df"},"content":{"rendered":"<div class='wxsyncmain'>\n<section data-mpa-powered-by=\"yiban.io\">\n<section powered-by=\"xiumi.us\">\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><span 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normal;\">\n<section>\n<section powered-by=\"xiumi.us\">\n<section style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em;\"><br  \/><\/section>\n<\/section>\n<\/section>\n<\/section>\n<section mpa-from-tpl=\"t\">\n<section mpa-from-tpl=\"t\">\n<section data-mid=\"t4\" mpa-from-tpl=\"t\">\n<section data-preserve-color=\"t\" data-mid=\"\" mpa-from-tpl=\"t\">\n<section data-mid=\"\" mpa-from-tpl=\"t\"><strong mpa-from-tpl=\"t\"><\/p>\n<section mpa-from-tpl=\"t\">\n<section mpa-from-tpl=\"t\">\n<section data-mid=\"t1\" mpa-from-tpl=\"t\">\n<section data-preserve-color=\"t\" data-mid=\"\" mpa-from-tpl=\"t\">\n<section data-mid=\"\" mpa-from-tpl=\"t\">\n<section data-preserve-color=\"t\" data-mid=\"\" mpa-from-tpl=\"t\">\n<section data-mpa-template=\"t\" mpa-from-tpl=\"t\">\n<section mpa-from-tpl=\"t\">\n<section data-mid=\"t4\" style=\"margin-top: 20px;color: rgb(0, 0, 0);font-size: medium;display: flex;-webkit-box-pack: center;justify-content: center;-webkit-box-align: 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0);\">\u80cc\u666f\u4ecb\u7ecd<\/strong><\/span><\/p>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 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class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u590d\u6742\u7cfb\u7edf\u81ea\u52a8\u5efa\u6a21<\/span><\/p>\n<\/li>\n<li>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u57fa\u4e8e\u53ef\u89e3\u91ca\u6027\u7684\u56e0\u679c\u63a8\u65ad\u65b9\u6cd5\u8bba\u6280\u80fd<\/span><\/p>\n<\/li>\n<li>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u6280\u80fd\u3001\u804c\u4e1a\u4e0e\u793e\u4f1a\u5206\u5de5\u7684\u8ba1\u7b97\u793e\u4f1a\u5b66<\/span><\/p>\n<\/li>\n<li>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4eba\u5de5\u667a\u80fd\u5982\u4f55\u53d6\u4ee3\u7269\u7406\u5b66\u5bb6<\/span><\/p>\n<\/li>\n<\/ul>\n<\/section>\n<section powered-by=\"xiumi.us\">\n<section>\n<section powered-by=\"xiumi.us\">\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;letter-spacing: 0.544px;background-color: rgb(255, 255, 255);text-align: center;line-height: 1.75em;\"><br  \/><\/p>\n<\/section>\n<\/section>\n<\/section>\n<section powered-by=\"xiumi.us\">\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<section data-mpa-template=\"t\" mpa-from-tpl=\"t\">\n<section mpa-from-tpl=\"t\">\n<section data-mid=\"t4\" style=\"margin-top: 20px;color: rgb(0, 0, 0);display: flex;-webkit-box-pack: center;justify-content: center;-webkit-box-align: center;align-items: center;\" mpa-from-tpl=\"t\">\n<section data-preserve-color=\"t\" data-mid=\"\" style=\"padding-right: 30px;padding-left: 30px;min-width: 60px;text-align: center;border-bottom: 2px solid rgba(0, 0, 0, 0);\" mpa-from-tpl=\"t\">\n<section data-mid=\"\" style=\"padding-right: 10px;padding-left: 10px;display: inline-block;color: rgb(123, 12, 0);border-bottom: 2px solid rgb(123, 12, 0);transform: translate(0px, 2px);border-top-color: rgb(123, 12, 0);border-left-color: rgb(123, 12, 0);border-right-color: rgb(123, 12, 0);\" mpa-from-tpl=\"t\"><strong mpa-from-tpl=\"t\" style=\"border-color: rgb(123, 12, 0);\"><\/p>\n<p style=\"clear: both;min-height: 1em;border-color: rgb(123, 12, 0);font-size: 16px;\">\u516c\u5f00\u62db\u52df<\/p>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p><br mpa-from-tpl=\"t\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">2016\u5e74\u548c2017\u5e74\uff0c\u6211\u4eec\u66fe\u7ecf\u5728\u77e5\u4e4e\u4e0a\u516c\u5f00\u62db\u52df\uff0c\u5438\u5f15\u4e86\u50cf\u5085\u6e25\u6210\u3001\u7ae0\u5f66\u535a \u3001\u7f57\u79c0\u54f2\u8fd9\u6837\u7684\u5728\u7269\u7406\u601d\u60f3\u3001\u7f16\u7a0b\u80fd\u529b\u3001\u5b66\u672f\u8ba8\u8bba\u3001\u63d0\u51fa\u65b0\u601d\u60f3\u7684\u80fd\u529b\u7b49\u8bf8\u591a\u65b9\u9762\u90fd\u8868\u73b0\u5f97\u6781\u4e3a\u4f18\u79c0\u7684\u79d1\u7814\u5de5\u4f5c\u8005\u3002\u6240\u4ee5\u4eca\u5e74\uff0c\u6211\u4eec\u540c\u6837\u60f3\u901a\u8fc7\u516c\u5f00\u62db\u52df\u7684\u65b9\u5f0f\uff0c\u5438\u5f15\u4e00\u6279\u5bf9\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\u3001\u673a\u5668\u5b66\u4e60\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u590d\u6742\u7f51\u7edc\u3001\u5f20\u91cf\u7f51\u7edc\u3001\u53cc\u66f2\u51e0\u4f55\u3001\u91cf\u5b50\u7269\u7406\u3001\u7edf\u8ba1\u529b\u5b66\u7b49\u4e3b\u9898\u611f\u5174\u8da3\u7684\u79d1\u7814\u5de5\u4f5c\u8005\uff0c\u8fdb\u884c\u6df1\u5165\u63a2\u8ba8\u548c\u78b0\u649e\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<section data-mpa-template=\"t\" mpa-from-tpl=\"t\">\n<section mpa-from-tpl=\"t\">\n<section data-mid=\"t4\" mpa-from-tpl=\"t\" style=\"margin-top: 20px;color: rgb(0, 0, 0);display: flex;-webkit-box-pack: center;justify-content: center;-webkit-box-align: center;align-items: center;\">\n<section data-preserve-color=\"t\" data-mid=\"\" mpa-from-tpl=\"t\" style=\"padding-right: 30px;padding-left: 30px;min-width: 60px;text-align: center;border-bottom: 2px solid rgba(0, 0, 0, 0);\">\n<section data-mid=\"\" mpa-from-tpl=\"t\" style=\"padding-right: 10px;padding-left: 10px;display: inline-block;color: rgb(123, 12, 0);border-bottom: 2px solid rgb(123, 12, 0);transform: translate(0px, 2px);border-top-color: rgb(123, 12, 0);border-left-color: rgb(123, 12, 0);border-right-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" style=\"border-color: rgb(123, 12, 0);\"><\/p>\n<p style=\"min-height: 1em;border-color: rgb(123, 12, 0);font-size: 16px;\">\u62a5\u540d\u65b9\u5f0f<\/p>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p><br mpa-from-tpl=\"t\" style=\"white-space: normal;\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: justify;\"><span style=\"font-size: 15px;\">\u7b2c\u4e00\u6b65\uff1a\u626b\u7801\u4e8c\u7ef4\u7801\uff0c\u586b\u5199\u57fa\u672c\u4fe1\u606f<\/span><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<section style=\"line-height: 1.75em;text-align: center;margin-left: 8px;margin-right: 8px;\"><span style=\"font-size: 15px;\"><span data-shimo-docs=\"[[20,{&quot;gallery&quot;:&quot;https:\/\/uploader.shimo.im\/f\/506b369x2YkEbFoK.png!thumbnail&quot;},&quot;29:0|30:0|3:&quot;260&quot;|4:&quot;auto&quot;|crop:&quot;&quot;|frame:&quot;none&quot;|ori-height:&quot;260&quot;|ori-width:&quot;260&quot;&quot;]]\"><\/p>\n<p line=\"Ab7L\" linespacing=\"150\" style=\"line-height: 150%;margin-bottom: 0pt;margin-top: 0pt;font-size: 11pt;color: #494949;\"><span line-inline=\"RjoC\"><img loading=\"lazy\" data-ratio=\"1\"  data-type=\"png\" data-w=\"260\" height=\"auto\" style=\"width: 163px;height: 163px;\" width=\"260\" src=\"\/wp-content\/uploads\/2020\/07\/wxsync-2020-07-45ad037152ccbd144851cbdd33e2ab7a.png\"  \/><\/span><\/p>\n<p><\/span><\/span><\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><span style=\"font-size: 15px;\">\u7b2c\u4e8c\u6b65\uff1a\u63d0\u4ea4\u4fe1\u606f\u540e\uff0c\u6dfb\u52a0\u8d1f\u8d23\u4eba\u5fae\u4fe1<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><span style=\"font-size: 15px;\">\u7b2c\u4e09\u6b65\uff1a\u5c06\u4ee5\u4e0b\u6750\u6599\u53d1\u9001\u81f3\u8d1f\u8d23\u4eba\u90ae\u7bb1<strong>wangting@swarma.org<\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><span style=\"font-size: 15px;\">\uff08\u90ae\u4ef6\u4e3b\u9898\uff1a\u7814\u8bfb\u8425+\u59d3\u540d\uff09<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><em><span style=\"font-size: 15px;\">&nbsp; &nbsp; 1\u3001\u4e2a\u4eba\u7b80\u5386\uff08PDF\u7248\u672c\uff09<\/span><\/em><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><em><span style=\"font-size: 15px;\">&nbsp; &nbsp; 2\u3001\u5176\u4ed6\uff08\u53ef\u9009\uff09\u80fd\u591f\u8bc1\u660e\u4f60\u79d1\u5b66\u601d\u60f3\u548c\u79d1\u7814\u5b9e\u529b\u7684\u6750\u6599\uff08\u5982\u4e2a\u4eba\u535a\u5ba2\u3001\u516c\u4f17\u53f7\u6216\u4e13\u680f\u3001GitHub \u5730\u5740\u7b49\uff09\u3002<\/span><\/em><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><em><span style=\"font-size: 15px;\">&nbsp; &nbsp; 3\u3001\u4f60\u6b63\u5728\u601d\u8003\u6216\u8005\u957f\u671f\u7814\u7a76\u7684\u95ee\u9898\u53ca\u7b80\u5355\u63cf\u8ff0\uff08\u5185\u5bb9\u8d8a\u8be6\u7ec6\u80fd\u589e\u5927\u5165\u9009\u6982\u7387\u54e6\uff09<\/span><\/em><span style=\"font-size: 15px;\"><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><span style=\"font-size: 15px;\">\u6211\u4eec\u4f1a\u5728\u6536\u5230\u60a8\u7684\u62a5\u540d\u4fe1\u606f\u540e\uff0c\u56de\u590d\u60a8\u7684\u90ae\u4ef6\u5e76\u4e0e\u60a8\u786e\u8ba4\u6709\u5173\u4fe1\u606f\uff0c\u4e4b\u540e<strong>\u7ecf\u6d3b\u52a8\u7ec4\u7ec7\u8005\u96c6\u4f53\u8868\u51b3\u540e\u786e\u5b9a\u6700\u7ec8\u53c2\u4e0e\u540d\u5355\uff0c\u62a5\u540d\u622a\u6b62\u65f6\u95f4 8\u67081\u65e5\u3002<\/strong>\u5982\u679c\u6709\u5176\u5b83\u95ee\u9898\uff0c\u6b22\u8fce\u8bc4\u8bba\u533a\u7559\u8a00\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><br  \/><\/p>\n<\/section>\n<section powered-by=\"xiumi.us\" style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\">\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><strong><span style=\"font-size: 15px;\"><br mpa-from-tpl=\"t\"  \/><\/span><\/strong><\/p>\n<section data-mpa-template=\"t\" mpa-from-tpl=\"t\">\n<section powered-by=\"xiumi.us\" style=\"color: rgb(51, 51, 51);font-size: 15px;text-align: justify;display: inline;\" mpa-from-tpl=\"t\">\n<section mpa-from-tpl=\"t\">\n<section style=\"margin-top: 20px;color: rgb(0, 0, 0);font-size: medium;display: flex;-webkit-box-pack: center;justify-content: center;-webkit-box-align: center;align-items: center;\" mpa-from-tpl=\"t\">\n<section powered-by=\"xiumi.us\" style=\"display: inline;\" mpa-from-tpl=\"t\">\n<section mpa-from-tpl=\"t\">\n<section style=\"padding-right: 30px;padding-left: 30px;min-width: 60px;text-align: center;border-bottom: 2px solid rgb(232, 230, 230);\" mpa-from-tpl=\"t\">\n<section powered-by=\"xiumi.us\" style=\"display: inline-block;\" mpa-from-tpl=\"t\">\n<section style=\"display: inline-block;\" mpa-from-tpl=\"t\">\n<section style=\"padding-right: 10px;padding-left: 10px;display: inline-block;font-size: 14px;color: rgb(123, 12, 0);border-bottom: 2px solid rgb(123, 12, 0);transform: translate(0px, 2px);border-top-color: rgb(123, 12, 0);border-left-color: rgb(123, 12, 0);border-right-color: rgb(123, 12, 0);\" mpa-from-tpl=\"t\">\n<p style=\"clear: both;min-height: 1em;\"><strong style=\"border-color: rgb(123, 12, 0);\" mpa-from-tpl=\"t\"><span style=\"font-size: 16px;\" mpa-is-content=\"t\">\u4e3b\u9898\u5217\u8868<\/span><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<section powered-by=\"xiumi.us\" style=\"color: rgb(51, 51, 51);font-size: 15px;text-align: justify;display: inline;\" mpa-from-tpl=\"t\">\n<section mpa-from-tpl=\"t\">\n<section style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em;\" mpa-from-tpl=\"t\"><br  \/><\/section>\n<\/section>\n<\/section>\n<\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><strong><span style=\"font-size: 15px;\">\u590d\u6742\u7cfb\u7edf\u81ea\u52a8\u5efa\u6a21<\/span><\/strong><\/p>\n<section style=\"font-family: -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.544px;white-space: normal;background-color: rgb(255, 255, 255);margin-left: 0px;margin-right: 0px;\">\n<section data-width=\"100%\" style=\"overflow: hidden scroll;height: 300px;width: 677px;display: inline-block;color: inherit;\">\n<section style=\"padding-top: 10px;padding-bottom: 10px;color: rgb(93, 91, 89);border-color: rgb(169, 169, 169);background-image: initial;background-position: initial;background-size: initial;background-repeat: initial;background-attachment: initial;background-origin: initial;background-clip: initial;\">\n<section data-autoskip=\"1\" data-style=\"clear: none; margin-top: 0px; margin-bottom: 0px; line-height: 1.5em; text-align: right; color: inherit; border-color: rgb(239, 112, 96);\" style=\"padding: 15px;color: inherit;border-color: rgb(255, 255, 255);\">\n<section style=\"margin-right: 8px;margin-left: 8px;\"><span style=\"font-size: 14px;color: rgb(136, 136, 136);\"><\/span><\/section>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">Alvaro Sanchez-Gonzalez,Nicolas Heess,Jost Tobias Springenberg.et al.: Graph networks as learnable physics engines for inference and control ,arxiv,2018<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\u8fd9\u7bc7\u6587\u7ae0\u662f\u7528\u56fe\u7f51\u7edc\u65b9\u6cd5\u8fdb\u884c\u591a\u4f53\u7cfb\u7edf\u52a8\u529b\u5b66\u5b66\u4e60\u4ee5\u53ca\u63a7\u5236\u7684\u7ecf\u5178\u8bba\u6587<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">Thomas Kipf,Ethan Fetaya,Kuan-Chieh Wang.et al.: Neural Relational Inference for Interacting Systems ,arXiv:1802.04687, 2018.<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\u8fd9\u7bc7\u6587\u7ae0\u9996\u6b21\u5c06\u663e\u793a\u5730\u5b66\u4e60\u7f51\u7edc\u7ed3\u6784\u4e0e\u7cfb\u7edf\u7684\u52a8\u529b\u5b66\u89c4\u5219\u7ed3\u5408\u5728\u4e86\u4e00\u8d77\u3002<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">Seungwoong Ha,Hawoong Jeong: Towards Automated Statistical Physics : Data-driven Modeling of Complex Systems with Deep Learning ,arxiv,2020<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\u8be5\u7bc7\u5c06NLP\u4e2d\u7684Transformer\u6a21\u578b\u4e2d\u7684\u81ea\u6ce8\u610f\u529b\u673a\u5236\u5e94\u7528\u5230\u4e86\u591a\u4f53\u590d\u6742\u7cfb\u7edf\u4e2d\u7684\u81ea\u52a8\u5efa\u6a21\u95ee\u9898\u4e2d\u6765\u3002\u53ef\u4ee5\u5b66\u4e60\u52a8\u6001\u7684\u7f51\u7edc\u7ed3\u6784\u4ee5\u53ca\u52a8\u529b\u5b66\u3002<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">Danilo Jimenez Rezende Shakir Mohamed: Variational Inference with Normalizing Flows, arXiv:1505.05770v6<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\u8fd9\u7bc7\u6587\u7ae0\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u578b\u68af\u5ea6\u8ba1\u7b97\u65b9\u6cd5\uff0c\u80fd\u591f\u66f4\u52a0\u65b9\u4fbf\u3001\u5feb\u901f\u5730\u5bf9\u6982\u7387\u5bc6\u5ea6\u51fd\u6570\u8fdb\u884c\u68af\u5ea6\u8ba1\u7b97\uff0c\u4ece\u800c\u8fdb\u884c\u53d8\u5206\u63a8\u65ad\uff0c\u76ee\u524d\u51e0\u4e4e\u5df2\u7ecf\u6210\u4e3a\u4e86\u52a8\u529b\u5b66\u5b66\u4e60\u4e2d\u7684\u4e00\u79cd\u5fc5\u5907\u65b9\u6cd5\u3002<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">Fan Yang\u2020, Ling Chen\u2217\u2020, Fan Zhou\u2020, Yusong Gao\u2021, Wei Cao\uff1aRELATIONAL STATE-SPACE MODEL FOR STOCHASTIC MULTI-OBJECT SYSTEMS, arXiv:2001.04050v1<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\u8fd9\u7bc7\u6587\u7ae0\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u72b6\u6001\u7a7a\u95f4\u7684\u968f\u673a\u591a\u4f53\u7cfb\u7edf\u81ea\u52a8\u5b66\u4e60\u5efa\u6a21\u65b9\u6cd5\u3002<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">Ricky T. Q. Chen*, Yulia Rubanova*, Jesse Bettencourt*, David Duvenaud: Neural Ordinary Differential Equations, arXiv:1806.07366v5<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\u8fd9\u7bc7\u6587\u7ae0\u9996\u6b21\u63d0\u51fa\u4e86\u8fd0\u7528\u6700\u4f18\u63a7\u5236\u539f\u7406\u53ef\u5fae\u5206\u5730\u6c42\u89e3\u5e38\u5fae\u5206\u65b9\u7a0b\u7684\u65b9\u6cd5\uff0c\u5e76\u5c06\u6df1\u5ea6\u7f51\u7edc\u8fde\u7eed\u5316\uff0c\u5e76\u89c6\u4f5c\u4e00\u79cd\u52a8\u529b\u7cfb\u7edf\uff0c\u56e0\u6b64\u5bf9\u6df1\u5ea6\u7f51\u7edc\u7684\u8bad\u7ec3\u4e5f\u88ab\u8f6c\u5316\u4e3a\u4e00\u79cd\u5e38\u5fae\u5206\u65b9\u7a0b\u7684\u6c42\u89e3\u95ee\u9898\u3002<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">Michael John Lingelbach, Damian Mrowca, Nick Haber, Li Fei-Fei, and Daniel L. K. Yamins: TOWARDS CURIOSITY-DRIVEN LEARNING OF PHYSICAL DYNAMICS, \u201cBridging AI and Cognitive Science\u201d (ICLR 2020)<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\u8fd9\u662f\u4e00\u7bc7\u63d0\u51fa\u4e86\u8ba9\u673a\u5668\u4e3b\u52a8\u5e72\u6270\u7269\u7406\u7cfb\u7edf\uff0c\u4ece\u800c\u66f4\u6709\u6548\u5730\u5b66\u4e60\u7269\u7406\u4f53\u7cfb\u89c4\u5219\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u3002<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">Chengxi Zang and Fei Wang: Neural Dynamics on Complex Networks, AAAI 2020<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">AAAI 2020\u7684best paper\uff0c\u5c06Neural ODE\u4e0e\u56fe\u7f51\u7edc\u7ed3\u5408\u9488\u5bf9\u590d\u6742\u7f51\u7edc\u7684\u4e00\u822c\u7684\u52a8\u529b\u5b66\u897f\u95ee\u9898\uff0c\u5229\u7528\u6700\u4f18\u63a7\u5236\u539f\u7406\u8fdb\u884c\u6c42\u89e3\u3002\u8be5\u6587\u8fd8\u5c06\u534a\u76d1\u7763\u8282\u70b9\u5206\u7c7b\u95ee\u9898\u4e5f\u8f6c\u5316\u4e3a\u6700\u4f18\u63a7\u5236\u95ee\u9898\uff0c\u4ece\u800c\u53d6\u5f97\u4e86\u663e\u8457\u7684\u6548\u679c\u3002<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p style=\"margin: 0pt 8px;letter-spacing: 0.544px;white-space: normal;font-family: &quot;Helvetica Neue&quot;, Helvetica, &quot;Hiragino Sans GB&quot;, &quot;Apple Color Emoji&quot;, &quot;Emoji Symbols Font&quot;, &quot;Segoe UI Symbol&quot;, Arial, sans-serif;background-color: rgb(255, 255, 255);line-height: 1.7;font-size: 11pt;color: rgb(73, 73, 73);\">\uff08\u53c2\u8003\u6587\u732e\u53ef\u4e0a\u4e0b\u6ed1\u52a8\uff09<\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><strong><span style=\"font-size: 15px;\"><br  \/><\/span><\/strong><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><span style=\"font-size: 15px;\">\u96c6\u667a\u4ff1\u4e50\u90e8\u4e3e\u529e\u7684\u7cfb\u5217\u8bfb\u4e66\u4f1a\u6b63\u5728\u4e3e\u529e\u4e2d\uff0c\u53c2\u4e0e\u8bfb\u4e66\u4f1a\u5e76\u5206\u4eab\u6587\u7ae0\u66f4\u6709\u673a\u4f1a\u5165\u9009\u7814\u8bfb\u8425\u3002\u8be6\u60c5\u8bf7\u6233\uff1a<\/span><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247509836&amp;idx=1&amp;sn=415d8a242a032897a547eba5195c4e8f&amp;chksm=e897fdc1dfe074d70c52e3221527e35135b05b712a0e2db131014d15a23ecdd98760c8b73001&amp;scene=21#wechat_redirect\" textvalue=\"\u95ed\u95e8\u8bfb\u4e66\u4f1a\u62db\u52df\uff1a\u9762\u5411\u590d\u6742\u7cfb\u7edf\u7684\u4eba\u5de5\u667a\u80fd\u7814\u7a76 | \u96c6\u667a\u51ef\u98ce\u7814\u8bfb\u8425-\u9884\u5907\u8425\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" rel=\"noopener noreferrer\"><span style=\"font-size: 15px;\">\u95ed\u95e8\u8bfb\u4e66\u4f1a\u62db\u52df\uff1a<\/span><span style=\"font-size: 15px;\">\u9762\u5411\u590d\u6742\u7cfb\u7edf\u7684\u4eba\u5de5\u667a\u80fd\u7814\u7a76 | \u96c6\u667a\u51ef\u98ce\u7814\u8bfb\u8425-\u9884<\/span><span style=\"font-size: 15px;\">\u5907\u8425<\/span><span style=\"font-size: 15px;\"><\/span><\/a><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><strong><span style=\"font-size: 15px;\"><br  \/><\/span><\/strong><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><strong><span style=\"font-size: 15px;\">\u56e0\u679c\u63a8\u7406<\/span><\/strong><\/p>\n<section style=\"text-align: left;white-space: normal;font-family: -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.544px;background-color: rgb(255, 255, 255);\">\n<section data-width=\"100%\" style=\"overflow: hidden scroll;height: 300px;width: 677px;display: inline-block;color: inherit;\">\n<section style=\"padding-top: 10px;padding-bottom: 10px;color: rgb(93, 91, 89);border-color: rgb(169, 169, 169);background-image: initial;background-position: initial;background-size: initial;background-repeat: initial;background-attachment: initial;background-origin: initial;background-clip: initial;\">\n<section data-autoskip=\"1\" data-style=\"clear: none; margin-top: 0px; margin-bottom: 0px; line-height: 1.5em; text-align: right; color: inherit; border-color: rgb(239, 112, 96);\" style=\"padding: 15px;color: inherit;border-color: rgb(255, 255, 255);\">\n<p><strong><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">Judea Pearl \u5982\u4e0b\u7684\u4e09\u7bc7\u8bba\u6587\u662f\u73b0\u4ee3\u56e0\u679c\u63a8\u7406\u7684\u5fc5\u8bfb\u6587\u7ae0<\/span><\/strong><span style=\"font-size: 14px;color: rgb(136, 136, 136);\"><\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">J. Pearl, &#8220;The Seven Tools of Causal Inference with Reflections on Machine &#8211;<\/span><\/p>\n<\/li>\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">Learning,&#8221; July 2018. Communications of ACM, 62(3): 54-60, March 2019 J. Pearl, &#8220;Causal and counterfactual inference,&#8221; October 2019. Forthcoming section in The Handbook of Rationality, MIT Press.<\/span><\/p>\n<\/li>\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">J. Pearl, &#8220;Causal inference in statistics: An overview,&#8221; Statistics Surveys, 3:96&#8211;146, 2009.<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\u7b2c\u4e00\u7bc7\u9996\u5148\u6307\u51fa\u5f53\u524d\u5f3a\u4eba\u5de5\u667a\u80fd\u7684\u4e09\u5927\u4e3b\u8981\u56f0\u96be\uff0c\u7136\u540e\u6307\u51fa\u73b0\u4ee3\u56e0\u679c\u6a21\u578b\u5c06\u4f1a\u5e2e\u52a9\u89e3\u51b3\u8fd9\u4e9b\u56f0\u96be\u3002\u4ecb\u7ecd\u4e86\u56e0\u679c\u63a8\u7406\u672c\u8d28\u7684\u4e09\u7ea7\u56e0\u679c\u4e4b\u68af\uff0c\u63d0\u51fa\u4e00\u4e2a\u56de\u7b54\u56e0\u679c\u95ee\u9898\u7684\u5f15\u64ce\uff0c\u603b\u7ed3\u4e86\u56e0\u679c\u63a8\u7406\u5f53\u524d\u4e03\u5927\u5de5\u5177\u3002\u7b2c\u4e8c\u7bc7\u6587\u7ae0\u4ecb\u7ecd\u4e86\u7ed3\u6784\u56e0\u679c\u6a21\u578b\uff08SCM\uff09\u7684\u7406\u8bba\u6846\u67b6\u53ca\u5176\u5e94\u7528\u3002\u7b2c\u4e09\u7bc7\u6587\u7ae0\u662f\u56e0\u679c\u63a8\u7406\u7684\u4e00\u4e2a\u5168\u9762\u7ec6\u81f4\u7684\u7efc\u8ff0\u3002<\/span><\/p>\n<p><strong><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">Bernhard Scholkopf \u53ca\u5176\u56e2\u961f\uff0c\u6709\u4e24\u7bc7\u5173\u952e\u8bba\u6587<\/span><\/strong><span style=\"font-size: 14px;color: rgb(136, 136, 136);\"><\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">Causality for machine learning, B Sch\u00f6lkopf &#8211; \u200e2019<\/span><\/p>\n<\/li>\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">Foundations of Structural Causal Models with Cycles and Latent Variables, Bongers etc -2020<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\u5982\u679c Judea Pearl \u5bf9\u4e8e\u56e0\u679c\u63a8\u7406\u7684\u8d21\u732e\u662f\u4ece\u96f6\u5230\u4e00\uff0c\u90a3\u4e48\u6709\u4eba\u79f0 Causality for machine learning \u628a\u56e0\u679c\u63a8\u7406\u4ece1 \u63a8\u8fdb\u52301.5\uff0c\u8fd9\u7bc7\u6587\u7ae0\u603b\u7ed3\u548c\u9610\u8ff0\u4e86\u5176\u56e2\u961f\u5728\u878d\u5408 machine learning \u548c causal inference \u591a\u5e74\u5de5\u4f5c\u6210\u679c\u548c\u6df1\u523b\u89c1\u89e3\u3002\u7b2c\u4e8c\u7bc7\u6587\u7ae0\u5c55\u793a\u4e86\u5176\u56e2\u961f\u89e3\u51b3\u6709\u73af\u56e0\u679c\u6a21\u578b\u8fd9\u4e00\u4e2a\u6839\u672c\u6027\u96be\u9898\u7684\u52aa\u529b\u5c1d\u8bd5\u3002<\/span><\/p>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">Causal Inference and Data-Fusionin Econometrics 2019 Paul Hunermund \u548c Elias Bareinboim\uff08Judea Pearl \u5b66\u751f\uff09\u662f\u5728\u62ab\u7740\u7ecf\u6d4e\u5b66\u7684\u76ae\u8bb2\u89e3\u7740 Causal AI \u5982\u4f55\u89e3\u51b3 confounding bias, selection bias and \u8fc1\u79fb\u5b66\u4e60\u8fd9\u4e9b\u96be\u9898\u7684\u56e0\u679c\u7406\u8bba\u6846\u67b6\u3002\u8be5\u6587\u7ae0\u662f\u73b0\u4ee3\u56e0\u679c\u7406\u8bba\u5982\u4f55\u7ed3\u5408\u67d0\u4e2a\u5177\u4f53\u9886\u57df\u7684\u6807\u6746\u6587\u7ae0\u3002<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">A Survey on Causal Inference, 2020 Liuyi YAO etc,<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\uff08\u89c2\u6d4b\u6570\u636e\u56e0\u679c\u63a8\u65ad\u662f\u70ed\u70b9\uff0c\u5c24\u5176\u662f\u7ed3\u5408\u673a\u5668\u5b66\u4e60\uff09Causal inference is a critical research topic across many domains, such as statistics, computer science, education, public policy and economics, for decades. Nowadays, estimating causal effect from observational data has become an appealing research direction owing to the large amount of available data and low budget requirement, compared with randomized controlled trials. Embraced with the rapidly developed machine learning area, various causal effect estimation methods for observational data have sprung up. \u672c\u6587\u4ecb\u7ecd\u5728\u6f5c\u7ed3\u679c\u6846\u67b6\u4e0b\u7684\u56e0\u679c\u63a8\u65ad\u65b9\u6cd5\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u53ef\u4ee5\u6309\u7167\u5176\u6240\u9700\u8981\u7684\u56e0\u679c\u5047\u8bbe\u5206\u7c7b\uff0c\u800c\u6bcf\u4e2a\u7c7b\u522b\u6211\u4eec\u4f1a\u5206\u522b\u4ecb\u7ecd\u5bf9\u5e94\u7684\u673a\u5668\u5b66\u4e60\u548c\u7edf\u8ba1\u65b9\u6cd5\uff0c\u4e5f\u4f1a\u4ecb\u7ecd\u5176\u5728\u5404\u9886\u57df\u7684\u5e94\u7528\uff0c\u6700\u540e\u6211\u4eec\u4f1a\u4ecb\u7ecd\u5404\u79cd\u65b9\u6cd5\u7684benchmark. Pearl\u2018s \u7ed3\u6784\u56e0\u679c\u6a21\u578b\u5e76\u4e0d\u662f\u5f53\u524d\u552f\u4e00\u6d41\u884c\u7684\u56e0\u679c\u5efa\u6a21\u6846\u67b6\uff0cPotential Outcome \u662f\u53e6\u5916\u4e00\u4e2a\u4e3b\u6d41\u56e0\u679c\u5efa\u6a21\u6846\u67b6\uff0c\u5c24\u5176\u662f\u5728\u8ba1\u91cf\u7ecf\u6d4e\u5b66\uff0c\u6d41\u884c\u75c5\u5b66\u7b49\u975eAI\u9886\u57df\u975e\u5e38\u6d41\u884c\uff0c\u8fd9\u7bc7\u8bba\u6587\u662f\u76f8\u5173\u5185\u5bb9\u4e00\u4e2a\u5168\u9762\u51c6\u786e\u6e05\u6670\u7684\u7efc\u8ff0\u3002<\/span><span style=\"color: inherit;letter-spacing: 0.544px;\"><\/span><\/p>\n<p><strong><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">Kun Kuang \u8001\u5e08\u7684 Stable Learning \u76f8\u5173\u8bba\u6587<\/span><\/strong><span style=\"font-size: 14px;color: rgb(136, 136, 136);\"><\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"width: 514.813px;color: rgb(93, 91, 89);font-family: -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.544px;text-align: left;white-space: normal;background-color: rgb(255, 255, 255);\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">Calculus For Stochastic Interventions: Causal Effect Identification and Surrogate Experiments, J. Correa, E. Bareinboim. AAAI-20.<\/span><\/p>\n<\/li>\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms 2019 by Yoshua Bengio etc.<\/span><\/p>\n<\/li>\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">A Second Chance to Get Causal Inference Right: A Classification of Data Science Tasks \u56e0\u679c\u63a8\u65ad\u524d\u8a00\u7efc\u8ff0 by Migual. A recent influx of data analysts, many not formally trained in statistical theory, bring a fresh attitude that does not a priori exclude causal questions.<\/span><\/p>\n<\/li>\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\u65f6\u95f4\u5e8f\u5217\u56e0\u679c Granger Causality<\/span><\/p>\n<\/li>\n<\/ul>\n<p style=\"color: rgb(93, 91, 89);font-family: -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.544px;text-align: left;white-space: normal;background-color: rgb(255, 255, 255);\"><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">&#8230;..<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p style=\"margin: 0pt 8px;text-align: left;white-space: normal;letter-spacing: 0.544px;font-family: &quot;Helvetica Neue&quot;, Helvetica, &quot;Hiragino Sans GB&quot;, &quot;Apple Color Emoji&quot;, &quot;Emoji Symbols Font&quot;, &quot;Segoe UI Symbol&quot;, Arial, sans-serif;background-color: rgb(255, 255, 255);line-height: 1.7;font-size: 11pt;color: rgb(73, 73, 73);\">\uff08\u53c2\u8003\u6587\u732e\u53ef\u4e0a\u4e0b\u6ed1\u52a8\uff09<\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><strong><span style=\"font-size: 15px;\"><strong style=\"text-align: left;white-space: normal;\"><span style=\"font-size: 15px;\">\u6280\u80fd\u3001\u804c\u4e1a\u548c\u793e\u4f1a\u5206\u5de5\u7684\u793e\u4f1a\u8ba1\u7b97<\/span><\/strong><\/span><\/strong><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><strong><span style=\"font-size: 15px;\"><strong style=\"text-align: left;white-space: normal;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/strong><\/span><\/strong><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"color: rgb(136, 136, 136);font-size: 15px;\"><strong style=\"text-align: left;white-space: normal;\"><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">1. \u5bf9\u7ec4\u6210\u4eba\u529b\u8d44\u672c\u7684\u6280\u80fd\u8fdb\u884c\u66ff\u4ee3\u4e0e\u4e92\u8865\u5efa\u6a21\uff1a<\/span><\/strong><\/span><\/strong><\/span><\/p>\n<section style=\"text-align: left;white-space: normal;font-family: -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.544px;background-color: rgb(255, 255, 255);\">\n<section data-width=\"100%\" style=\"overflow: hidden scroll;height: 300px;width: 677px;display: inline-block;color: inherit;\">\n<section style=\"padding-top: 10px;padding-bottom: 10px;color: rgb(93, 91, 89);border-color: rgb(169, 169, 169);background-image: initial;background-position: initial;background-size: initial;background-repeat: initial;background-attachment: initial;background-origin: initial;background-clip: initial;\">\n<section data-autoskip=\"1\" data-style=\"clear: none; margin-top: 0px; margin-bottom: 0px; line-height: 1.5em; text-align: right; color: inherit; border-color: rgb(239, 112, 96);\" style=\"padding: 15px;color: inherit;border-color: rgb(255, 255, 255);\">\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">1. Nalisnick, E., Mitra, B., Craswell, N., &amp; Caruana, R. (2016, April). Improving document ranking with dual word embeddings. In Proceedings of the 25th International Conference Companion on World Wide Web (pp. 83-84).<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">This paper presents how IN-IN and IN-OUT vector cosine similarities models collocative and substitutive word pairs.<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">2. Levy, O., &amp; Goldberg, Y. (2014). Neural word embedding as implicit matrix factorization. In Advances in neural information processing systems (pp. 2177-2185).<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">This paper proves that term-context embedding (T_iC_j) in SGNS implicitly models pointwise mutual information (PMI).<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">3. Levy, O., Goldberg, Y., &amp; Dagan, I. (2015). Improving distributional similarity with lessons learned from word embeddings. Transactions of the Association for Computational Linguistics, 3, 211-225.<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">This paper proposes that the term-term vector cosine similarity model 2nd order association and the term-context vector cosine similarity model 1st order association, and suggests that adding these two vectors to obtain a combined vector improves the performance of word2vec on certain NLP tasks.<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">4. Rapp, R. (2002, August). The computation of word associations: comparing syntagmatic and paradigmatic approaches. In Proceedings of the 19th international conference on Computational linguistics-Volume 1 (pp. 1-7). Association for Computational Linguistics.<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">This paper called 1st and 2nd order associations &#8220;syntagmatic&#8221; and &#8220;paradigmatic&#8221; relations, respectively, following the convention created by Ferdinand de Saussure (the founding father of linguistics). This paper also proposes to measure 1st order association by co-occurrence and 2nd order association by comparing context word distribution similarity.<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">5. Teng, C. Y., Lin, Y. R., &amp; Adamic, L. A. (2012, June). Recipe recommendation using ingredient networks. In Proceedings of the 4th Annual ACM Web Science Conference (pp. 298-307).<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">This paper constructed two food-ingredient networks (one links collocation ingredients as they co-used in food receipts, the other links substitutive ingredients as suggested by users), and found that &#8220;purified&#8221;, complement ingredient network can be obtained through removing substitutive parts from collocation network. And the substitutes network is more informative in predicting users preference on receipts.<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">6. Sauer, C., Haigh, A., &amp; Rachleff, J. Cooking up Food Embeddings.<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">This paper analyzes two kinds of food ingredients pairs, including substitutes and complements. They define complement pairs as frequently co-used (collocation) ingredients (maximizing Ti*Cj), and substitute pairs as those similar and replaceable (maximizing Ti*Tj).<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">7. Neffke, F. M. (2019). The value of complementary co-workers. Science Advances, 5(12), eaax3370.<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">This paper found that having co-workers with an education degree similar to one\u2019s own is costly, having co-workers with a complementary education degree is beneficial. How this is defined?<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">8. Dibiaggio, L., Nasiriyar, M., &amp; Nesta, L. (2014). Substitutability and complementarity of technological knowledge and the inventive performance of semiconductor companies. Research policy, 43(9), 1582-1593.<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">This paper found that complementarity between knowledge components positively contributes to firms\u2019 inventive capability, whereas the overall level of substitutability between knowledge components generally has the opposite effect. How this is define?<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p style=\"margin: 0pt 8px;text-align: left;white-space: normal;letter-spacing: 0.544px;font-family: &quot;Helvetica Neue&quot;, Helvetica, &quot;Hiragino Sans GB&quot;, &quot;Apple Color Emoji&quot;, &quot;Emoji Symbols Font&quot;, &quot;Segoe UI Symbol&quot;, Arial, sans-serif;background-color: rgb(255, 255, 255);line-height: 1.7;font-size: 11pt;color: rgb(73, 73, 73);\">\uff08\u53c2\u8003\u6587\u732e\u53ef\u4e0a\u4e0b\u6ed1\u52a8\uff09<\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"color: rgb(136, 136, 136);font-size: 15px;\"><strong style=\"text-align: left;white-space: normal;\"><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">2. \u9884\u6d4b\u79d1\u5b66\u524d\u6cbf\u7684\u79fb\u52a8<\/span><\/strong><\/span><\/strong><\/span><\/p>\n<section style=\"text-align: left;white-space: normal;font-family: -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.544px;background-color: rgb(255, 255, 255);\">\n<section data-width=\"100%\" style=\"overflow: hidden scroll;height: 300px;width: 677px;display: inline-block;color: inherit;\">\n<section style=\"padding-top: 10px;padding-bottom: 10px;color: rgb(93, 91, 89);border-color: rgb(169, 169, 169);background-image: initial;background-position: initial;background-size: initial;background-repeat: initial;background-attachment: initial;background-origin: initial;background-clip: initial;\">\n<section data-autoskip=\"1\" data-style=\"clear: none; margin-top: 0px; margin-bottom: 0px; line-height: 1.5em; text-align: right; color: inherit; border-color: rgb(239, 112, 96);\" style=\"padding: 15px;color: inherit;border-color: rgb(255, 255, 255);\">\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">1.Brockmann, D., &amp; Helbing, D. (2013). The hidden geometry of complex, network-driven contagion phenomena. science, 342(6164), 1337-1342.<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">This paper analyzed disease spread via the \u201ceffective distance\u201d rather than geographical distance, wherein two locations that are connected by a strong link are effectively close. The approach was successfully applied to predict disease arrival times or disease sources.<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">2.Tshitoyan, V., Dagdelen, J., Weston, L., Dunn, A., Rong, Z., Kononova, O., &#8230; &amp; Jain, A. (2019). Unsupervised word embeddings capture latent knowledge from materials science literature. Nature, 571(7763), 95-98.<\/span><\/p>\n<\/li>\n<\/ul>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p style=\"margin: 0pt 8px;text-align: left;white-space: normal;letter-spacing: 0.544px;font-family: &quot;Helvetica Neue&quot;, Helvetica, &quot;Hiragino Sans GB&quot;, &quot;Apple Color Emoji&quot;, &quot;Emoji Symbols Font&quot;, &quot;Segoe UI Symbol&quot;, Arial, sans-serif;background-color: rgb(255, 255, 255);line-height: 1.7;font-size: 11pt;color: rgb(73, 73, 73);\">\uff08\u53c2\u8003\u6587\u732e\u53ef\u4e0a\u4e0b\u6ed1\u52a8\uff09<\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"color: rgb(136, 136, 136);font-size: 15px;\"><strong style=\"text-align: left;white-space: normal;\"><span style=\"color: rgb(136, 136, 136);font-size: 15px;\"><br  \/><\/span><\/strong><\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"color: rgb(136, 136, 136);font-size: 15px;\"><strong style=\"text-align: left;white-space: normal;\"><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">3. \u6784\u5efa\u539f\u5b50\u6280\u80fd\u4ee5\u53ca\u804c\u4e1a\u5728\u673a\u5668\u4e2d\u7684\u8868\u793a<\/span><\/strong><\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><span style=\"color: rgb(136, 136, 136);font-size: 14px;\">Arora, S., Li, Y., Liang, Y., Ma, T., &amp; Risteski, A. (2018). Linear algebraic structure of word senses, with applications to polysemy. Transactions of the Association for Computational Linguistics, 6, 483-495.&nbsp;<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"color: rgb(136, 136, 136);font-size: 15px;\"><strong style=\"text-align: left;white-space: normal;\"><span style=\"color: rgb(136, 136, 136);font-size: 15px;\"><br  \/><\/span><\/strong><\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><span style=\"color: rgb(0, 0, 0);\"><strong><span style=\"color: rgb(0, 0, 0);font-size: 15px;\"><strong style=\"text-align: left;white-space: normal;\"><span style=\"color: rgb(0, 0, 0);font-size: 15px;\">\u6c42\u89e3\u7edf\u8ba1\u529b\u5b66\uff1a<\/span><\/strong><\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><span style=\"color: rgb(0, 0, 0);\"><strong><span style=\"color: rgb(0, 0, 0);font-size: 15px;\"><strong style=\"text-align: left;white-space: normal;\"><span style=\"color: rgb(0, 0, 0);font-size: 15px;\">\u4ece\u5e73\u5747\u573a\u5230\u795e\u7ecf\u7f51\u7edc\uff0c\u518d\u5230\u5f20\u91cf\u7f51\u7edc<\/span><\/strong><\/span><\/strong><\/span><\/p>\n<section style=\"text-align: left;white-space: normal;font-family: -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.544px;background-color: rgb(255, 255, 255);\">\n<section data-width=\"100%\" style=\"overflow: hidden scroll;height: 300px;width: 677px;display: inline-block;color: inherit;\">\n<section style=\"padding-top: 10px;padding-bottom: 10px;color: rgb(93, 91, 89);border-color: rgb(169, 169, 169);background-image: initial;background-position: initial;background-size: initial;background-repeat: initial;background-attachment: initial;background-origin: initial;background-clip: initial;\">\n<section data-autoskip=\"1\" data-style=\"clear: none; margin-top: 0px; margin-bottom: 0px; line-height: 1.5em; text-align: right; color: inherit; border-color: rgb(239, 112, 96);\" style=\"padding: 15px;color: inherit;border-color: rgb(255, 255, 255);\">\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\u7edf\u8ba1\u529b\u5b66\u7684\u6838\u5fc3\u95ee\u9898\u4e4b\u4e00\u662f\u5982\u4f55\u51c6\u786e\u5730\u8ba1\u7b97\u591a\u7c92\u5b50\u7cfb\u7edf\u7684\u81ea\u7531\u80fd\u3001\u70ed\u529b\u5b66\u91cf\u3002\u81ea\u4e0a\u4e2a\u4e16\u7eaa\u4ee5\u6765\uff0c\u7269\u7406\u5b66\u5bb6\u53d1\u5c55\u4e86\u5404\u79cd\u5404\u6837\u7684\u7406\u8bba\u548c\u65b9\u6cd5\u6765\u89e3\u51b3\u8fd9\u7c7b\u95ee\u9898\u3002\u5176\u4e2d\uff0c\u5e73\u5747\u573a\u7406\u8bba\u548c\u76f8\u5173\u6d88\u606f\u4f20\u9012\u7b97\u6cd5\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\u80fd\u591f\u7ed9\u51fa\u975e\u5e38\u597d\u7684\u7cfb\u7edf\u53d8\u5206\u81ea\u7531\u80fd\u7ed3\u679c\uff0c\u4e0b\u9762\u8fd9\u7bc7\u7efc\u8ff0\u6587\u7ae0\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u76f8\u5173\u6d88\u606f\u4f20\u9012\u7b97\u6cd5\u3002<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">Understanding belief propagation and its generalizations J. Yedidia, W. Freeman, Y. Weiss International Joint Conference on Artificial Intelligence (IJCAI), 2001<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\u7edf\u8ba1\u7269\u7406\u7684\u57fa\u672c\u95ee\u9898\u548c\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u975e\u76d1\u7763\u5b66\u4e60\u5177\u6709\u5929\u7136\u7684\u8054\u7cfb\uff1a\u7edf\u8ba1\u7269\u7406\u4e2d\u7684\u73bb\u5c14\u5179\u66fc\u5206\u5e03\u5bf9\u5e94\u4e8e\u8d1d\u53f6\u65af\u63a8\u65ad\u7684\u540e\u9a8c\u6982\u7387\uff1b\u6700\u5c0f\u5316\u81ea\u7531\u80fd\u539f\u7406\u7b49\u4ef7\u4e8e\u53d8\u5206\u63a8\u65ad\uff1b\u5bfb\u627e\u7edf\u8ba1\u7269\u7406\u7cfb\u7edf\u7684\u57fa\u6001\u7b49\u4ef7\u4e8e\u6700\u5927\u4f3c\u7136\u5b66\u4e60\u7b49\u3002\u90a3\u4e48\uff0c\u5982\u4f55\u5229\u7528\u8fd1\u5e74\u6765\u5feb\u901f\u53d1\u5c55\u7684\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u8001\u5e2e\u52a9\u6211\u4eec\u89e3\u51b3\u7edf\u8ba1\u529b\u5b66\u95ee\u9898\uff1f\u8fd9\u7bc7\u6587\u7ae0\u63d0\u51fa\u4e86\u53d8\u5206\u81ea\u56de\u5f52\u795e\u7ecf\u7f51\u7edc(Variational Autoregressive Networks)\uff0c\u62d3\u5c55\u4e86\u4f20\u7edf\u610f\u4e49\u4e0a\u7684\u5e73\u5747\u573a\u65b9\u6cd5\u3002<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">Solving Statistical Mechanics Using Variational Autoregressive Networks D. Wu, L. Wang, P. Zhang Phys. Rev. Lett., 122, 080602 (2019)<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\u5f20\u91cf\u7f51\u7edc\u65b9\u6cd5\u662f\u53e6\u4e00\u7c7b\u5e7f\u6cdb\u7528\u4e8e\u8ba1\u7b97\u914d\u5206\u51fd\u6570\u548c\u81ea\u7531\u80fd\u7684\u65b9\u6cd5\uff0c\u4f46\u901a\u5e38\u53d7\u9650\u4e8e\u683c\u70b9\u7cfb\u7edf\uff0c\u56e0\u4e3a\u5f20\u91cf\u7f51\u7edc\u7684\u7f29\u5e76\u5c5e\u4e8e#-P\u96be\u95ee\u9898\u3002\u8fd9\u7bc7\u6587\u7ae0\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u8fd1\u4f3c\u7f29\u5e76\u4efb\u610f\u62d3\u6251\u7ed3\u6784\u5f20\u91cf\u7f51\u7edc\u7684\u65b9\u6cd5\u3002<\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\"><span style=\"color: rgb(136, 136, 136);font-family: -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;font-size: 14px;letter-spacing: 0.544px;text-align: left;background-color: rgb(255, 255, 255);\">C<\/span><span style=\"color: rgb(136, 136, 136);font-family: -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;font-size: 14px;letter-spacing: 0.544px;text-align: left;background-color: rgb(255, 255, 255);\">ontracting Arbitrary Tensor Networks: general approximate algorithm and applications in graphical models and quantum circuit simulations F. Pan, P. Zhou, S. Li, P. Zhang arXiv preprint arXiv:1912.03014<\/span><\/span><span style=\"color: inherit;letter-spacing: 0.544px;\"><\/span><\/p>\n<\/li>\n<\/ul>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p style=\"margin: 0pt 8px;text-align: left;white-space: normal;letter-spacing: 0.544px;font-family: &quot;Helvetica Neue&quot;, Helvetica, &quot;Hiragino Sans GB&quot;, &quot;Apple Color Emoji&quot;, &quot;Emoji Symbols Font&quot;, &quot;Segoe UI Symbol&quot;, Arial, sans-serif;background-color: rgb(255, 255, 255);line-height: 1.7;font-size: 11pt;color: rgb(73, 73, 73);\">\uff08\u53c2\u8003\u6587\u732e\u53ef\u4e0a\u4e0b\u6ed1\u52a8\uff09<\/p>\n<p style=\"margin: 0pt 8px;text-align: left;white-space: normal;letter-spacing: 0.544px;font-family: &quot;Helvetica Neue&quot;, Helvetica, &quot;Hiragino Sans GB&quot;, &quot;Apple Color Emoji&quot;, &quot;Emoji Symbols Font&quot;, &quot;Segoe UI Symbol&quot;, Arial, sans-serif;background-color: rgb(255, 255, 255);line-height: 1.7;font-size: 11pt;color: rgb(73, 73, 73);\"><br  \/><\/p>\n<p style=\"margin: 0pt 8px;text-align: left;white-space: normal;letter-spacing: 0.544px;font-family: &quot;Helvetica Neue&quot;, Helvetica, &quot;Hiragino Sans GB&quot;, &quot;Apple Color Emoji&quot;, &quot;Emoji Symbols Font&quot;, &quot;Segoe UI Symbol&quot;, Arial, sans-serif;background-color: rgb(255, 255, 255);line-height: 1.7;font-size: 11pt;color: rgb(73, 73, 73);\"><span style=\"font-size: 15px;color: rgb(0, 0, 0);\"><strong>\u673a\u5668\u5b66\u4e60\u5728\u7269\u7406\u5b66\u5efa\u6a21\u4e2d\u7684\u5e94\u7528<\/strong><\/span><\/p>\n<section style=\"text-align: left;white-space: normal;font-family: -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.544px;background-color: rgb(255, 255, 255);\">\n<section data-width=\"100%\" style=\"overflow: hidden scroll;height: 300px;width: 677px;display: inline-block;color: inherit;\">\n<section style=\"padding-top: 10px;padding-bottom: 10px;color: rgb(93, 91, 89);border-color: rgb(169, 169, 169);background-image: initial;background-position: initial;background-size: initial;background-repeat: initial;background-attachment: initial;background-origin: initial;background-clip: initial;\">\n<section data-autoskip=\"1\" data-style=\"clear: none; margin-top: 0px; margin-bottom: 0px; line-height: 1.5em; text-align: right; color: inherit; border-color: rgb(239, 112, 96);\" style=\"padding: 15px;color: inherit;border-color: rgb(255, 255, 255);\">\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">&#8221;Quantum State Tomography&#8221;<\/span><\/p>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">[1] Juan Carrasquilla, Ciacomo Torlai, Roger Melko, Leandro Aolita. Reconstructing quantum states with generative models. arXiv: 1810.10584<\/span><\/p>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">[2] Peter Cha, Paul Ginsparg, Felix Wu, Juan Carrasquilla, Peter L. McMahon, Eun-Ah Kim. Attentioned-based quantum tomography. arXiv: 2006.12469<\/span><\/p>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">&#8221;Autoregressive generative model&#8221;<\/span><\/p>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">[3] Dian Wu, Lei Wang, Pan Zhang. Solving Statistical Mechanics Using Variational Autoregressive Networks. arXiv:1809.10606<\/span><\/p>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">[4] Or Sharir, Yoav Levine, Noam Wies, Giuseppe Carleo, Amnon Shashua. Deep autoregressive models for the efficient variational simulation of many-body quantum systems. arXiv:1902.04057<\/span><\/p>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">&#8221;Flow based model&#8221;<\/span><\/p>\n<p><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">[5] Shuo-Hui Li, Chen-Xiao Dong, Linfeng Zhang, Lei Wang. Neural Canonical Transformation with Symplectic Flows. arXiv: 1910.00024.<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p style=\"margin: 0pt 8px;text-align: left;white-space: normal;letter-spacing: 0.544px;font-family: &quot;Helvetica Neue&quot;, Helvetica, &quot;Hiragino Sans GB&quot;, &quot;Apple Color Emoji&quot;, &quot;Emoji Symbols Font&quot;, &quot;Segoe UI Symbol&quot;, Arial, sans-serif;background-color: rgb(255, 255, 255);line-height: 1.7;font-size: 11pt;color: rgb(73, 73, 73);\"><span style=\"color: rgb(73, 73, 73);font-family: &quot;Helvetica Neue&quot;, Helvetica, &quot;Hiragino Sans GB&quot;, &quot;Apple Color Emoji&quot;, &quot;Emoji Symbols Font&quot;, &quot;Segoe UI Symbol&quot;, Arial, sans-serif;font-size: 14.6667px;letter-spacing: 0.544px;text-align: left;background-color: rgb(255, 255, 255);\">\uff08\u53c2\u8003\u6587\u732e\u53ef\u4e0a\u4e0b\u6ed1\u52a8\uff09<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;\"><strong><span style=\"font-size: 15px;\"><strong style=\"text-align: left;white-space: normal;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/strong><\/span><\/strong><\/p>\n<\/section>\n<section powered-by=\"xiumi.us\">\n<section data-mpa-template=\"t\" mpa-from-tpl=\"t\" style=\"white-space: normal;\">\n<section mpa-from-tpl=\"t\">\n<section data-mid=\"t4\" mpa-from-tpl=\"t\" style=\"margin-top: 20px;color: rgb(0, 0, 0);font-size: medium;display: flex;-webkit-box-pack: center;justify-content: center;-webkit-box-align: center;align-items: center;\">\n<section data-preserve-color=\"t\" data-mid=\"\" mpa-from-tpl=\"t\" style=\"padding-right: 30px;padding-left: 30px;min-width: 60px;text-align: center;border-bottom: 2px solid rgb(232, 230, 230);\">\n<section data-mid=\"\" mpa-from-tpl=\"t\" style=\"padding-right: 10px;padding-left: 10px;display: inline-block;font-size: 14px;color: rgb(123, 12, 0);border-bottom: 2px solid rgb(123, 12, 0);transform: translate(0px, 2px);border-top-color: rgb(123, 12, 0);border-left-color: rgb(123, 12, 0);border-right-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" style=\"border-color: rgb(123, 12, 0);\"><\/p>\n<p style=\"border-color: rgb(123, 12, 0);\"><span mpa-is-content=\"t\" style=\"font-size: 16px;border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\">\u63a8\u8350\u9605\u8bfb<\/strong><\/strong><\/span><\/p>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;line-height: 1.75em;\"><br  \/><\/section>\n<p style=\"margin: 0pt 8px;white-space: normal;font-size: 11pt;color: rgb(73, 73, 73);text-align: center;line-height: 1.75em;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247484332&amp;idx=1&amp;sn=59e00ee5ac19bc4bb8c1acb16508a350&amp;chksm=e8945921dfe3d03743b5483f257b0ee5c3b8573761774e6764b53ff2b6c1f2ab93746b34a42b&amp;scene=21#wechat_redirect\" data-itemshowtype=\"0\" tab=\"innerlink\" style=\"text-decoration: underline;\" data-linktype=\"2\" rel=\"noopener noreferrer\"><strong>\u7edf\u4e00\u4e4b\u8def\uff1a\u91cf\u5b50\u7ea0\u7f20\u3001\u65f6\u7a7a\u51e0\u4f55\u4e0e\u673a\u5668\u5b66\u4e60<\/strong><\/a><br  \/><\/p>\n<p style=\"margin: 0pt 8px;white-space: normal;font-size: 11pt;color: rgb(73, 73, 73);text-align: center;line-height: 1.75em;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247484956&amp;idx=1&amp;sn=00f32bc01c2898fc6260deede10f4149&amp;chksm=e8945c91dfe3d58762031a17f0d80394a17e6ee5ffc1bd7828a8e278a0058df7f7e9c318e519&amp;scene=21#wechat_redirect\" data-itemshowtype=\"11\" tab=\"innerlink\" style=\"text-decoration: underline;\" data-linktype=\"2\" rel=\"noopener noreferrer\"><strong>\u4e00\u79cd\u9762\u5411\u5173\u7cfb\u7684\u7269\u7406\u5b66\uff1a\u4ece\u793e\u4ea4\u7f51\u7edc\u5230\u91cf\u5b50\u7ea0\u7f20 | \u539f\u521b\u7cbe\u9009<\/strong><\/a><br  \/><\/p>\n<p style=\"margin: 0pt 8px;white-space: normal;font-size: 11pt;color: rgb(73, 73, 73);text-align: center;line-height: 1.75em;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247485530&amp;idx=1&amp;sn=8b06e3cc598693ca67ff8ba696184958&amp;chksm=e89452d7dfe3dbc1074348d8a1a47f863cf21a37d25aef3663c967557b8b6fa2c34297c0cc7d&amp;scene=21#wechat_redirect\" data-itemshowtype=\"0\" tab=\"innerlink\" style=\"text-decoration: underline;\" data-linktype=\"2\" rel=\"noopener noreferrer\"><strong>\u7f51\u7edc\u4e0e\u51e0\u4f55\u7684\u7ea0\u7f20 | \u5f20\u6c5f<\/strong><\/a><br  \/><\/p>\n<p style=\"margin: 0pt 8px;white-space: normal;font-size: 11pt;color: rgb(73, 73, 73);text-align: center;line-height: 1.75em;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247489512&amp;idx=1&amp;sn=f4f5d9b07026dfcd61a71ac773f39e99&amp;chksm=e8944d65dfe3c473311341a49bf0905365e0903e0a56f13f010303b84e7a9580ccd8cf7a9256&amp;scene=21#wechat_redirect\" data-itemshowtype=\"0\" tab=\"innerlink\" style=\"text-decoration: underline;\" data-linktype=\"2\" rel=\"noopener noreferrer\"><strong>\u7f51\u7edc\u3001\u51e0\u4f55\u4e0e\u673a\u5668\u5b66\u4e60 | \u96c6\u667a-\u51ef\u98ce\u7814\u8bfb\u84252018<\/strong><\/a><br  \/><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;line-height: 1.75em;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247502752&amp;idx=1&amp;sn=4ceaf4f227a4f7065b3cd256a2022552&amp;chksm=e897912ddfe0183b570a12e6b40212e33b76a95c54abe6e10afe7069acb9f6236bd39ccf8cda&amp;scene=21#wechat_redirect\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" style=\"text-decoration: underline;\" rel=\"noopener noreferrer\"><span style=\"font-size: 14px;\"><strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;line-height: 1.75em;\"><br  \/><\/p>\n<section data-mpa-template=\"t\" mpa-from-tpl=\"t\" style=\"white-space: normal;\">\n<section mpa-from-tpl=\"t\">\n<section data-mpa-template-id=\"1398939\" data-mpa-color=\"null\" data-mpa-category=\"\u6536\u85cf\" mpa-from-tpl=\"t\">\n<section data-mpa-template-id=\"1345806\" data-mpa-color=\"null\" data-mpa-category=\"fav\" mpa-from-tpl=\"t\" style=\"color: rgb(0, 0, 0);font-size: medium;\">\n<p><br mpa-from-tpl=\"t\"  \/><\/p>\n<hr style=\"color: rgb(51, 51, 51);font-size: 17px;letter-spacing: 0.544px;\"  \/>\n<p style=\"margin-right: 0.5em;margin-left: 0.5em;color: rgb(51, 51, 51);font-size: 17px;letter-spacing: 0.544px;text-align: center;\"><img data-ratio=\"0.9191011235955057\" data-type=\"gif\" data-w=\"445\" width=\"100%\"  style=\"letter-spacing: 0.5px;visibility: visible !important;width: 64px !important;\" src=\"\/wp-content\/uploads\/2020\/07\/wxsync-2020-07-f8813a24c65fe26cf82889d1466d1718.gif\"  \/><br mpa-from-tpl=\"t\"  \/><\/p>\n<p><br mpa-from-tpl=\"t\"  \/><\/p>\n<section data-mpa-template-id=\"5969\" data-mpa-color=\"#ffffff\" mpa-from-tpl=\"t\" style=\"margin-right: 0.5em;margin-left: 0.5em;color: rgb(51, 51, 51);font-size: 17px;letter-spacing: 0.544px;\">\n<section data-mpa-template-id=\"83535\" data-mpa-color=\"#ffffff\" mpa-from-tpl=\"t\" style=\"margin-right: 0.5em;margin-left: 0.5em;line-height: 25.6px;text-align: center;outline: none medium;\">\n<section data-mpa-template-id=\"5969\" data-mpa-color=\"#ffffff\" mpa-from-tpl=\"t\" style=\"margin-right: 0.5em;margin-left: 0.5em;line-height: 25.6px;outline: none medium;\">\n<section data-mpa-template-id=\"83535\" data-mpa-color=\"#ffffff\" mpa-from-tpl=\"t\" style=\"outline: none medium;\">\n<section data-mpa-template=\"\" mpa-from-tpl=\"t\" style=\"margin-right: 0.5em;margin-left: 0.5em;font-size: 15px;outline: none medium;\">\n<section powered-by=\"xiumi.us\" mpa-from-tpl=\"t\" style=\"line-height: 25.6px;border-color: rgb(123, 12, 0);\">\n<p style=\"margin-top: 10px;margin-bottom: 10px;padding-right: 3px;padding-left: 3px;transform: translate3d(0px, 0px, 0px);border-color: rgb(123, 12, 0);line-height: 1.5em;\"><strong mpa-from-tpl=\"t\"><span style=\"font-size: 12px;color: rgb(136, 136, 136);\">\u96c6\u667a\u4ff1\u4e50\u90e8QQ\u7fa4\uff5c877391004<\/span><\/strong><\/p>\n<p style=\"margin-top: 10px;margin-bottom: 10px;padding-right: 3px;padding-left: 3px;transform: translate3d(0px, 0px, 0px);border-color: rgb(123, 12, 0);line-height: 1.5em;\"><strong mpa-from-tpl=\"t\"><span style=\"font-size: 12px;color: rgb(136, 136, 136);\">\u5546\u52a1\u5408\u4f5c\u53ca\u6295\u7a3f\u8f6c\u8f7d\uff5cswarma@swarma.org<br mpa-from-tpl=\"t\"  \/><\/span><\/strong><\/p>\n<section data-mpa-template-id=\"5969\" data-mpa-color=\"#ffffff\" mpa-from-tpl=\"t\" style=\"margin-right: 0.5em;margin-left: 0.5em;outline: none medium;\">\n<h1 style=\"margin-top: 10px;margin-bottom: 10px;line-height: 1.75em;\"><strong mpa-from-tpl=\"t\" style=\"font-size: 14px;white-space: pre-wrap;color: rgb(0, 112, 192);line-height: 25.6px;\"><strong mpa-from-tpl=\"t\" style=\"line-height: 28px;white-space: normal;color: rgb(61, 170, 214);font-size: 20px;\"><span style=\"font-size: 14px;color: rgb(136, 136, 136);\"><span style=\"color: rgb(255, 76, 0);\">\u25c6&nbsp;<\/span><span style=\"color: rgb(0, 128, 255);\">\u25c6&nbsp;<\/span><span style=\"color: rgb(61, 170, 214);\">\u25c6<\/span><\/span><\/strong><\/strong><\/h1>\n<\/section>\n<p style=\"margin-right: 0.5em;margin-left: 0.5em;font-size: 19px;color: rgb(71, 193, 168);line-height: 23.2727px;\"><span style=\"color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\"><span style=\"font-size: 14px;\">\u641c\u7d22\u516c\u4f17\u53f7\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8<\/span><\/strong><\/span><\/p>\n<p style=\"margin-right: 0.5em;margin-left: 0.5em;font-size: 19px;color: rgb(71, 193, 168);line-height: 23.2727px;\"><br  \/><\/p>\n<p style=\"margin-right: 0.5em;margin-left: 0.5em;font-size: 19px;color: rgb(71, 193, 168);line-height: 23.2727px;\"><span style=\"color: rgb(0, 0, 0);\"><strong mpa-from-tpl=\"t\"><span style=\"font-size: 14px;\">\u52a0\u5165\u201c\u6ca1\u6709\u56f4\u5899\u7684\u7814\u7a76\u6240\u201d<\/span><\/strong><\/span><\/p>\n<section mpa-from-tpl=\"t\" style=\"margin-right: 0.5em;margin-left: 0.5em;font-size: 14px;color: rgb(71, 193, 168);line-height: 20px;\">\n<p style=\"margin: 5px auto;padding: 10px;width: 180px;border-width: 2px;border-style: dashed;border-color: rgb(132, 132, 132);line-height: normal;\"><img data-copyright=\"0\" data-cropselx1=\"0\" data-cropselx2=\"156\" data-cropsely1=\"0\" data-cropsely2=\"156\" data-ratio=\"1\" data-s=\"300,640\" 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