{"id":41817,"date":"2023-04-14T17:41:39","date_gmt":"2023-04-14T09:41:39","guid":{"rendered":"https:\/\/swarma.org\/?p=41817"},"modified":"2023-04-14T17:41:39","modified_gmt":"2023-04-14T09:41:39","slug":"ai-for-%e7%a7%91%e5%ad%a6%e8%ae%be%e8%ae%a1%ef%bc%9agflownet%e5%92%8c%e9%87%8f%e5%ad%90%e8%ae%a1%e7%ae%97%e6%8e%a2%e7%b4%a2%e6%9c%aa%e6%9d%a5%e4%b8%a8%e5%91%a8%e6%97%a5%e7%9b%b4%e6%92%ad%c2%b7aiscien","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=41817","title":{"rendered":"AI for \u79d1\u5b66\u8bbe\u8ba1\uff1aGFlowNet\u548c\u91cf\u5b50\u8ba1\u7b97\u63a2\u7d22\u672a\u6765\u4e28\u5468\u65e5\u76f4\u64ad\u00b7AI+Science\u8bfb\u4e66\u4f1a"},"content":{"rendered":"
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Part1\uff1aGFlowNet for Scientific Design<\/span><\/strong><\/span><\/p>\n

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\u53d8\u5206\u63a8\u65ad\uff08Variational Inference)<\/span><\/p>\n

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\u4e2a\u4eba\u4e3b\u9875\uff1ahttps:\/\/zdhnarsil.github.io\/<\/span><\/p>\n


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\u6248\u9e3f\u4e1a\u662f\u54c8\u4f5b\u91cf\u5b50\u8ba1\u5212\u7814\u7a76\u5458(HQI Fellow)\uff0c\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u662f\u91cf\u5b50\u8ba1\u7b97\u548cAI\u7684\u7ed3\u5408\uff0c\u5305\u62ec\u91cf\u5b50\u6a21\u62df\u4e0e\u91cf\u5b50\u4f53\u7cfb\u63a7\u5236\uff0c\u91cf\u5b50\u5b9e\u9a8c\u566a\u58f0\u6291\u5236\uff0c\u91cf\u5b50\u7ea0\u9519\u7801\uff0c\u91cf\u5b50\u673a\u5668\u5b66\u4e60\uff0c\u91cf\u5b50\u5c42\u6790\u7406\u8bba\uff0cgenerative model, reinforcement learning\u30022022\u5e74\u5728\u52a0\u5dde\u5927\u5b66\u5723\u5730\u4e9a\u54e5\u5206\u6821\u83b7\u5f97\u7269\u7406\u535a\u58eb\u5b66\u4f4d\uff08\u5bfc\u5e08\u5c24\u4ea6\u5e84\u6559\u6388\uff09\uff0c2016\u5e74\u5728\u5317\u4eac\u5927\u5b66\u83b7\u5f97\u7269\u7406\u5b66\u58eb\u5b66\u4f4d\uff08\u5bfc\u5e08\u5434\u98d9\u6559\u6388\uff09\u3002\u4e3b\u8981\u7814\u7a76\u5174\u8da3\u4e3a\u91cf\u5b50\u8ba1\u7b97\uff0c\u53d8\u5206\u91cf\u5b50\u7b97\u6cd5\uff0c\u91cf\u5b50\u6001\u5c42\u6790\u7406\u8bba\uff0c\u751f\u6210\u578b\u795e\u7ecf\u7f51\u7edc\u4e0e\u65e0\u76d1\u7763\u5b66\u4e60\uff0c\u5f3a\u5316\u5b66\u4e60\uff0c\u91cf\u5b50\u7ea0\u9519\u7801\uff0c\u91cf\u5b50\u591a\u4f53\u7269\u7406\uff0c\u91cf\u5b50\u6700\u4f18\u63a7\u5236\u7406\u8bba\u7b49\u3002\u535a\u58eb\u671f\u95f4\u66fe\u83b7\u5f97UCSD\u7269\u7406\u7cfb\u6311\u6218\u5956\uff0cNASA-USRA\u8d39\u66fc\u5956\u5b66\u91d1\uff0c\u5e7a\u6b63\u57fa\u91d1(unitary fund)\u5956\u91d1\u3002<\/span><\/span><\/section>\n

\u4e2a\u4eba\u4e3b\u9875\uff1ahttps:\/\/scholar.harvard.edu\/hongyehu<\/span><\/section>\n

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\u56fe4\uff1a\u5982\u4f55\u6761\u4ef6\u5316 GFlowNet\uff0c\u5728\u7ed9\u5b9a\u72b6\u6001 s\u4e0b\uff0c\u901a\u8fc7\u539f\u59cb\u6d41\uff08\u5de6\uff09\u548c\u8f6c\u79fb\u6d41\u6765\u521b\u5efa\u4e00\u7ec4\u65b0\u7684\u6d41\uff08\u53f3\uff09\u3002| \u56fe\u7247\u6765\u6e90\uff1aGFlowNet Foundations  <\/span><\/p>\n


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\u53bb\u5e74\uff0cBengio\u53ca\u5176\u5b66\u751f\u5f20\u9f0e\u6000\u7b49\u53d1\u8868\u4e86\u4e00\u7bc7\u65b0\u8bba\u6587\u300aUnifying Generative Models with GFlowNets\u300b\uff0c\u7b80\u8981\u4ecb\u7ecd\u4e86\u73b0\u6709\u6df1\u5ea6\u751f\u6210\u6a21\u578b\u4e0eGFlowNet\u6846\u67b6\u4e4b\u95f4\u7684\u8054\u7cfb\uff0c\u5e76\u901a\u8fc7\u9a6c\u5c14\u53ef\u592b\u8f68\u8ff9\u5b66\u4e60\u7684\u89c6\u89d2\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7edf\u4e00\u7684\u89c2\u70b9\uff0c\u5e76\u8fdb\u4e00\u6b65\u63d0\u4f9b\u4e86\u4e00\u79cd\u7edf\u4e00\u8bad\u7ec3\u548c\u63a8\u7406\u7b97\u6cd5\u7684\u65b9\u6cd5\u3002<\/span><\/p>\n


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\u5728\u96c6\u667a-\u51ef\u98ce\u7814\u8bfb\u8425\u9879\u76ee\u7684\u652f\u6301\u4e0b\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u7ec4\u7ec7\u4e86\u91cf\u5b50\u4fe1\u606f\u9884\u8bfb\u73ed\uff0c\u4e3b\u8981\u805a\u7126\u5728\u91cf\u5b50\u8ba1\u7b97\u9886\u57df\uff0c\u5bf9\u91cf\u5b50\u7ebf\u8def\u7684\u7ecf\u5178\u6a21\u62df\u3001\u91cf\u5b50\u8ba1\u7b97\u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u4ea4\u53c9\u3001\u91cf\u5b50\u6a21\u62df\u3001\u91cf\u5b50\u566a\u58f0\u7406\u8bba\u4e0e\u7ea0\u9519\u7801\u7b49\u65b9\u9762\u7684\u8bba\u6587\u8fdb\u884c\u7814\u8bfb\u4e0e\u8ba8\u8bba\u3002\u5e0c\u671b\u80fd\u901a\u8fc7\u9884\u8bfb\u73ed\u7684\u5f62\u5f0f\uff0c\u80fd\u591f\u5438\u5f15\u5177\u6709\u57fa\u672c\u7269\u7406\u57fa\u7840\u4e14\u5bf9\u91cf\u5b50\u8ba1\u7b97\u611f\u5174\u8da3\u7684\u4eba\uff08\u4f8b\u5982\u672c\u79d1\u751f\uff09\u548c\u91cf\u5b50\u8ba1\u7b97\u7684\u5e74\u8f7b\u7814\u7a76\u5458\uff0c\u7814\u8bfb\u786c\u6838\u8bba\u6587\uff0c\u6fc0\u53d1\u79d1\u7814\u7075\u611f\u3002<\/span><\/span><\/section>\n

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\u96c6\u667a\u63a8\u6587<\/span><\/strong><\/span><\/p>\n

\u91cf\u5b50\u8ba1\u7b97\u673a\u5982\u4f55\u91cd\u5851\u4eba\u7c7b\u672a\u6765\uff1a\u5341\u4e2a\u8de8\u5b66\u79d1\u5e94\u7528<\/a><\/span><\/p>\n

\u91cf\u5b50\u8ba1\u7b97\uff1a\u4fe1\u606f\u793e\u4f1a\u7684\u672a\u6765<\/span><\/a>
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\u91cf\u5b50\u8ba1\u7b97\uff1a\u5e2e\u52a9\u7406\u89e3\u81ea\u7136\u7684\u6700\u5c0f\u7ec4\u6210\u90e8\u5206 | \u91cf\u5b50\u4e16\u754c\u5730\u56fe<\/span><\/a><\/p>\n

\u4e0d\u786e\u5b9a\u56e0\u679c\uff1a\u5f53\u56e0\u679c\u9047\u5230\u91cf\u5b50<\/span><\/a><\/span>
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\u63a8\u8350\u7684GFlowNet\u5b66\u4e60\u8def\u5f84\u548c\u8d44\u6e90\uff1a<\/span><\/strong><\/span><\/p>\n

https:\/\/github.com\/zdhNarsil\/Awesome-GFlowNets<\/span><\/p>\n


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AI+Science \u8bfb\u4e66\u4f1a\u542f\u52a8<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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AI+Science \u662f\u8fd1\u5e74\u5174\u8d77\u7684\u5c06\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u76f8\u7ed3\u5408\u7684\u4e00\u79cd\u8d8b\u52bf\u3002\u4e00\u65b9\u9762\u662f AI for Science\uff0c\u673a\u5668\u5b66\u4e60\u548c\u5176\u4ed6 AI \u6280\u672f\u53ef\u4ee5\u7528\u6765\u89e3\u51b3\u79d1\u5b66\u7814\u7a76\u4e2d\u7684\u95ee\u9898\uff0c\u4ece\u9884\u6d4b\u5929\u6c14\u548c\u86cb\u767d\u8d28\u7ed3\u6784\uff0c\u5230\u6a21\u62df\u661f\u7cfb\u78b0\u649e\u3001\u8bbe\u8ba1\u4f18\u5316\u6838\u805a\u53d8\u53cd\u5e94\u5806\uff0c\u751a\u81f3\u50cf\u79d1\u5b66\u5bb6\u4e00\u6837\u8fdb\u884c\u79d1\u5b66\u53d1\u73b0\uff0c\u88ab\u79f0\u4e3a\u79d1\u5b66\u53d1\u73b0\u7684\u201c\u7b2c\u4e94\u8303\u5f0f\u201d\u3002\u53e6\u4e00\u65b9\u9762\u662f Science for AI\uff0c\u79d1\u5b66\u5c24\u5176\u662f\u7269\u7406\u5b66\u4e2d\u7684\u89c4\u5f8b\u548c\u601d\u60f3\u542f\u53d1\u673a\u5668\u5b66\u4e60\u7406\u8bba\uff0c\u4e3a\u4eba\u5de5\u667a\u80fd\u7684\u53d1\u5c55\u63d0\u4f9b\u5168\u65b0\u7684\u89c6\u89d2\u548c\u65b9\u6cd5\u3002<\/span><\/section>\n

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\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u535a\u58eb\u540e\u7814\u7a76\u5458\u5434\u6cf0\u9716\uff08Jure Leskovec \u6559\u6388\u6307\u5bfc\uff09\u3001\u54c8\u4f5b\u91cf\u5b50\u8ba1\u5212\u7814\u7a76\u5458\u6248\u9e3f\u4e1a\u3001\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u7269\u7406\u7cfb\u535a\u58eb\u751f\u5218\u5b50\u9e23\uff08Max Tegmark \u6559\u6388\u6307\u5bfc\uff09\uff0c\u5171\u540c\u53d1\u8d77\u4ee5\u201cAI+Science<\/a>\u201d\u4e3a\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\uff0c\u63a2\u8ba8\u8be5\u9886\u57df\u7684\u91cd\u8981\u95ee\u9898\uff0c\u5171\u5b66\u5171\u7814\u76f8\u5173\u6587\u732e\u3002\u8bfb\u4e66\u4f1a\u4ece2023\u5e743\u670826\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u65e5\u65e9\u4e0a 10:00-12:00 \u7ebf\u4e0a\u4e3e\u884c\uff0c\u6301\u7eed\u65f6\u95f4\u9884\u8ba110\u5468\u3002\u6b22\u8fce\u5bf9\u63a2\u7d22\u8fd9\u4e2a\u6fc0\u52a8\u4eba\u5fc3\u7684\u524d\u6cbf\u9886\u57df\u6709\u5174\u8da3\u7684\u670b\u53cb\u62a5\u540d\u53c2\u4e0e\u3002<\/span><\/section>\n

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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/section>\n
\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u53d1\u73b0\u76f8\u4e92\u8d4b\u80fd\u7684\u65b0\u8303\u5f0f\uff1aAI+Science \u8bfb\u4e66\u4f1a\u542f\u52a8<\/a>
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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/p>\n

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