{"id":18254,"date":"2020-02-03T19:42:09","date_gmt":"2020-02-03T11:42:09","guid":{"rendered":"https:\/\/swarma.org\/?p=18254"},"modified":"2020-02-03T19:42:09","modified_gmt":"2020-02-03T11:42:09","slug":"%e4%bb%8a%e6%99%9a%e4%b9%9d%e7%82%b9%e5%9b%be%e7%bd%91%e7%bb%9c%e8%af%bb%e4%b9%a6%e4%bc%9a%e7%9b%b4%e6%92%ad-%e7%ac%ac46%e6%9c%9f%ef%bc%9a%e4%bd%bf%e7%94%a8%e6%95%b0%e6%8d%ae%e9%a9%b1%e5%8a%a8","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=18254","title":{"rendered":"\u4eca\u665a\u4e5d\u70b9\u56fe\u7f51\u7edc\u8bfb\u4e66\u4f1a\u76f4\u64ad | \u7b2c46\u671f\uff1a\u4f7f\u7528\u6570\u636e\u9a71\u52a8\u7684\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u5bf9\u590d\u6742\u7cfb\u7edf\u8fdb\u884c\u81ea\u52a8\u5efa\u6a21"},"content":{"rendered":"
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2\u67083\u65e5\uff08\u5468\u4e00\uff0921:00-21:40\uff0c\u96c6\u667a\u56fe\u7f51\u7edc\u7ebf\u4e0a\u8bfb\u4e66\u4f1a\u5c06\u8fdb\u884c\u65b0\u4e00\u671f\u7684\u8bba\u6587\u5206\u4eab\u76f4\u64ad\uff0c\u6b22\u8fce\u611f\u5174\u8da3\u7684\u670b\u53cb\u53c2\u4e0e\u3002<\/span><\/section>\n


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\u65b9\u6cd5\u5bf9\u590d\u6742\u7cfb\u7edf\u8fdb\u884c\u81ea\u52a8\u5efa\u6a21<\/p>\n

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\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u901a\u8fc7\u6570\u636e\u9a71\u52a8\u7684\u65b9\u6cd5\uff0c\u5bf9\u590d\u6742\u7cfb\u7edf\u7684\u5fae\u89c2\u52a8\u529b\u5b66\u8fdb\u884c\u5efa\u6a21\uff0c\u5e76\u4e14\u63a8\u65ad\u4ea4\u4e92\u5f62\u5f0f\u7684\u65b9\u6cd5\uff1a<\/span>AgentNet\uff0c\u8fd9\u79cd\u65b9\u6cd5\u4f7f\u7528\u56fe\u6ce8\u610f\u529b\u7f51\u7edc\u6765\u6a21\u62df\u4e2a\u4f53\u4e4b\u95f4\u7684\u4ea4\u4e92\u52a8\u529b\u5b66\uff0c\u53ef\u4ee5\u5f88\u597d\u7684\u5efa\u6a21\u590d\u6742\u7cfb\u7edf\u5185\u90e8\u7684\u9690\u85cf\u8fde\u63a5\u3002<\/span>\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5bf9\u4e09\u79cd\u4e0d\u540c\u7c7b\u578b\u7684\u590d\u6742\u7cfb\u7edf\u8fdb\u884c\u5efa\u6a21\uff1a<\/span>\u5143\u80de\u81ea\u52a8\u673a\uff0c\u9e1f\u7fa4\u6a21\u578b\u548cactive Ornstein-Uhlenbeck particles\u6a21\u578b\u3002<\/span>\u5b9e\u9a8c\u8868\u660e\uff0c\u8fd9\u79cd\u65b9\u6cd5\u6240\u5b66\u5230\u7684\u6ce8\u610f\u529b\u5927\u5c0f\u548c\u5b9e\u9645\u7684\u4ea4\u4e92\u5f3a\u5ea6\u5341\u5206\u543b\u5408\uff0c\u9e1f\u7fa4\u5b9e\u9a8c\u4e5f\u8bc1\u660eAgentNet\u5efa\u6a21\u7684\u9e1f\u7fa4\u53ef\u4ee5\u4e0e\u9e1f\u7fa4\u6a21\u578b\u4ea7\u751f\u5b9a\u5411\u76f8\u540c\u7684\u96c6\u7fa4\u73b0\u8c61\u3002<\/span><\/p>\n


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\u8bba\u6587\u9898\u76ee\uff1a<\/section>\n

Towards Automated Statistical Physics : Data-driven Modeling of Complex Systems with Deep Learning<\/span><\/h1>\n
\u8bba\u6587\u5730\u5740\uff1a<\/section>\n
https:\/\/arxiv.org\/abs\/2001.02539<\/section>\n<\/section>\n<\/blockquote>\n


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\u4e3b\u8bb2\u4eba\uff1a<\/span><\/strong>\u5f20\u7ae0<\/span><\/section>\n
\u76f4\u64ad\u5730\u5740\uff1a<\/span><\/strong>\u96c6\u667a\u4ff1\u4e50\u90e8 B \u7ad9\u76f4\u64ad\u95f4<\/span><\/section>\n


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\u4e0d\u9519\u8fc7\u6bcf\u4e00\u573a\u96c6\u667a\u91cd\u78c5\u76f4\u64ad<\/strong><\/strong><\/section>\n


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https:\/\/live.bilibili.com\/8091531<\/strong><\/span><\/section>\n
\u76f4\u64ad\u65f6<\/strong>\u95f4 \uff1a21:00-21:40<\/strong><\/section>\n
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\u4e0e\u8bb2\u8005\u63d0\u95ee\u4e92\u52a8<\/strong><\/span><\/p>\n

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1.\u5728\u96c6<\/strong><\/span>\u667a\u6591\u56fe\u7f51\u7ad9\u62a5\u540d<\/strong><\/span>\u3002\u8fdb\u5165\u4e0b\u65b9\u94fe\u63a5\uff0c\u6216\u70b9\u51fb\u516c\u4f17\u53f7\u6587\u672b\u7684\u201c<\/span>\u9605\u8bfb\u539f\u6587<\/strong><\/span>\u201d\uff0c\u8fdb\u5165\u96c6\u667a\u6591\u56fe\u7f51\u7ad9\u8bba\u6587\u8be6\u60c5\u9875\u9762\u3002\u5728\u8bba\u6587\u9875\u9762\uff0c\u70b9\u51fb\u201c<\/span>\u6211\u8981\u542c<\/strong><\/span>\u201d\uff0c\u5373\u53ef\u62a5\u540d\u53c2\u52a0\u3002<\/span><\/p>\n


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\u8bba\u6587\u89e3\u8bfb\u62a5\u540d\u5730\u5740\uff1a
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https:\/\/pattern.swarma.org\/paper?id=f2c72992-1fab-11ea-89a2-0242ac1a0005<\/span><\/section>\n


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2.<\/span>\u6ce8\u518c<\/span><\/strong><\/span>\u5b89\u88c5\u201c\u77a9\u76ee\u201d\u4f1a\u8bae\u8f6f\u4ef6<\/span><\/strong>\u3002\u8bfb\u4e66\u4f1a\u7ebf\u4e0a\u63d0\u95ee\u4ea4\u6d41\u5e73\u53f0\u4e3a\u201c\u77a9\u76ee\u201d\u3002\u8bf7\u5728\u8bfb\u4e66\u4f1a\u5f00\u59cb\u524d\uff0c\u4e0b\u8f7d\u5e76\u5b89\u88c5\u6ce8\u518c\u201c\u77a9\u76ee\u201c\u8f6f\u4ef6\uff08PC\u7aef\u3001\u79fb\u52a8\u7aef\u5747\u53ef\uff09\u3002<\/span><\/p>\n


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\u201c\u77a9\u76ee\u201d\u8f6f\u4ef6\u6ce8\u518c\u4e0b\u8f7d\u5730\u5740\uff1a<\/span><\/p>\n

https:\/\/www.zhumu.me<\/span><\/p>\n


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3.\u5fae\u4fe1<\/strong><\/span>\u83b7\u53d6\u201c\u77a9\u76ee\u201d\u623f\u95f4\u53f7<\/strong><\/span>\u3002\u62a5\u540d\u540e\uff0c\u201c\u96c6\u667a\u4ff1\u4e50\u90e8\u670d\u52a1\u53f7\u201d\u5c06\u63d0\u524d\u544a\u77e5\u4f60\u77a9\u76ee\u5e73\u53f0\u623f\u95f4\u53f7\u3002\u76f4\u64ad\u65f6\uff0c\u5728\u201c\u77a9\u76ee\u201d\u8f93\u5165\u623f\u95f4\u53f7\u5373\u53ef\u8fdb\u5165\u76f4\u64ad\u95f4\u63d0\u95ee\u4e92\u52a8\u3002<\/span><\/p>\n


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\u56fe\u795e\u7ecf\u7f51\u7edc\u662f\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u7684\u524d\u6cbf\u70ed\u70b9\u8bae\u9898\uff0c\u5c24\u5176\u662f\u56fe\u7f51\u7edc\uff08GraphNetworks\uff09\u63d0\u51fa\u4ee5\u6765\uff0c\u6df1\u5ea6\u5b66\u4e60\u6709\u4e86\u5b9e\u73b0\u56e0\u679c\u63a8\u7406\u7684\u6f5c\u529b\u3002\u4e3a\u4e86\u6301\u7eed\u8ffd\u8e2a\u76f8\u5173\u9886\u57df\u7684\u524d\u6cbf\u8fdb\u5c55\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u5317\u5e08\u5927\u7cfb\u7edf\u79d1\u5b66\u5b66\u9662\u5f20\u6c5f\u8bfe\u9898\u7ec4\uff0c\u7ec4\u7ec7\u4e86\u4ee5\u56fe\u7f51\u7edc\u4e3a\u4e3b\u9898\u7684\u7ebf\u4e0a\u8bfb\u4e66\u4f1a\uff0c\u7814\u8ba8\u6700\u65b0\u8bba\u6587\uff0c\u5b55\u80b2\u7814\u7a76\u601d\u8def\u3002<\/span><\/section>\n

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\u6bcf\u4e00\u671f\u7ebf\u4e0a\u8bfb\u4e66\u4f1a\u7531\u4e00\u4f4d\u6210\u5458\u4e3b\u8bb2\uff0c\u5f62\u5f0f\u4e3a\u8bba\u6587\u5206\u4eab\uff0c\u65f6\u95f4\u4e3a\u6bcf\u5468\u4e0021:00-21:40\u3002\u52a0\u5165\u8bfb\u4e66\u4f1a\u7fa4\u9700\u62a5\u540d\u5ba1\u6838\uff0c\u539f\u5219\u4e0a\u53c2\u4e0e\u8005\u5e94\u6709\u80fd\u529b\u72ec\u7acb\u5b8c\u6210\u4e00\u6b21\u7ebf\u4e0a\u5206\u4eab\u3002\u5982\u679c\u4f60\u4e5f\u6b63\u5728\u4ece\u4e8b\u56fe\u7f51\u7edc\u4e0e\u6df1\u5ea6\u5b66\u4e60\u65b9\u9762\u7684\u7814\u7a76\u5de5\u4f5c\u6216\u6280\u672f\u5b9e\u8df5\uff0c\u6216\u8005\u5bf9\u8be5\u9886\u57df\u6709\u5f3a\u70c8\u7684\u5b66\u4e60\u610f\u613f\uff0c\u6b22\u8fce\u586b\u5199\u62a5\u540d\u8868\uff0c\u7533\u8bf7\u52a0\u5165\u201c\u96c6\u667a\u56fe\u7f51\u7edc\u8bba\u6587\u5206\u4eab\u5c0f\u7ec4\u201d\uff01 <\/span><\/section>\n

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\u62a5\u540d\u8bf7\u626b\u4e0b\u65b9\u5c0f\u7a0b\u5e8f\u7801\uff0c\u586b\u5199\u62a5\u540d\u8868\u3002\u586b\u8868\u4e4b\u540e\u4f1a\u6709\u5165\u7fa4\u65b9\u5f0f\u3002<\/span>
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      Deep Iterative and Adaptive Learning for Graph Neural Networks<\/span><\/p>\n<\/li>\n

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      http:\/\/arxiv.org\/abs\/1912.07832<\/span><\/section>\n<\/li>\n
    • \n
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      <\/mp-miniprogram><\/p>\n

      http:\/\/campus.swarma.org\/play\/coursedetail?id=11112<\/span><\/strong><\/span><\/p>\n<\/ul>\n<\/ul>\n


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          Adversarial Training Methods for Network Embedding<\/span><\/p>\n<\/li>\n

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          \u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n

          https:\/\/dl.acm.org\/doi\/10.1145\/3308558.3313445<\/span><\/section>\n<\/li>\n
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          http:\/\/campus.swarma.org\/play\/coursedetail?id=11110<\/span><\/strong><\/span><\/section>\n<\/ul>\n<\/ul>\n
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                Model-free prediction of spatiotemporal dynamical systems with recurrent neural networks<\/span><\/p>\n<\/li>\n

              • \n

                \u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n

                https:\/\/journals.aps.org\/prresearch\/pdf\/10.1103\/PhysRevResearch.1.033056<\/span><\/p>\n<\/li>\n

              • \n
                \u89c6\u9891\u56de\u653e\uff1a<\/span><\/section>\n<\/li>\n
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                http:\/\/campus.swarma.org\/play\/coursedetail?id=11102<\/span><\/strong><\/span><\/p>\n


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                \u5546\u52a1\u5408\u4f5c\u53ca\u6295\u7a3f\u8f6c\u8f7d\uff5cswarma@swarma.org
                <\/span><\/strong><\/section>\n
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                \u25c6 <\/span>\u25c6 <\/span>\u25c6<\/span><\/span><\/strong><\/strong><\/h1>\n<\/section>\n
                \u641c\u7d22\u516c\u4f17\u53f7\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8<\/span><\/strong><\/span><\/section>\n


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                \u52a0\u5165\u201c\u6ca1\u6709\u56f4\u5899\u7684\u7814\u7a76\u6240\u201d<\/span><\/strong><\/span><\/p>\n

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                \u8ba9\u82f9\u679c\u7838\u5f97\u66f4\u731b\u70c8\u4e9b\u5427\uff01<\/span><\/p>\n<\/section>\n<\/section>\n


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                <\/p>\n

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