{"id":4813,"date":"2024-04-04T16:48:28","date_gmt":"2024-04-04T07:48:28","guid":{"rendered":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/?p=4813"},"modified":"2024-11-08T19:15:22","modified_gmt":"2024-11-08T10:15:22","slug":"international-symposium-on-physics-of-intelligence-statistical-mechanics-and-machine-learning-a-powerful-combination-for-data-analysis","status":"publish","type":"post","link":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/about\/4813\/","title":{"rendered":"[ISPI2024 closed on a high note. Thank you for your participation!] DAIKIN International Symposium on Physics of Intelligence-- Statistical Mechanics and Machine Learning: A Powerful Combination for Data Analysis --"},"content":{"rendered":"\n

ISPI2024: Nov. 6-8, 2024 @Koshiba Hall, The University of Tokyo<\/h3>\n\n\n\n\n\n\n\n\n\n
<\/figure>\n\n\n
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\u3010Access\u3011<\/h3>\n\n\n\n

Koshiba Hall (No. 100 in Hongo Campus Map)<\/a>
Access Map to Hongo Campus<\/a><\/p>\n\n\n\n\n

\u3010Objective\u3011<\/h3>\n

The goal of machine learning is to extract underlying regularities from training data. The objective is no different from that of statistics, which has been developed for 200 years since Laplace. However, in machine learning, the probabilistic models used to extract regularities are nonlinear and have much higher degrees of freedom than previous statistical models. This leads to new challenges, such as the difficulty of computation and the difficulty of performance evaluation in the data analysis. On the other hand, statistical mechanics has greatly developed techniques for dealing with large-degree-of-freedom nonlinear statistical models through the study of gases and magnetic materials. This suggests that statistical mechanics may be useful for solving the new challenges posed by the birth of machine learning. This symposium aims to bring together researchers in data analysis, machine learning, and statistical mechanics to exchange their expertise.<\/p>\n\n\n

\u3010Program\u3011Abstract Book<\/a><\/strong><\/h3>\n\n\n\n
\"\"<\/a><\/figure>\n\n\n\n

\u3010Speakers\u3011\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000<\/h3>\n\n\n\n

*plenary talk<\/h4>\n\n\n\n

\u203bIn alphabetical order<\/h6>\n\n\n\n
\n
\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
SueYeon Chung<\/a><\/td>\nNew York University<\/td>\nUSA<\/td>\n<\/tr>\n
Alexander Hoffmann<\/a><\/td>\nUniversity of California, Los Angeles<\/td>\nUSA<\/td>\n<\/tr>\n
Sosuke Ito<\/a><\/td>\nThe University of Tokyo<\/td>\nJPN<\/td>\n<\/tr>\n
Shinpei Kawaoka<\/a><\/td>\nTohoku University\/Kyoto University<\/td>\nJPN<\/td>\n<\/tr>\n
Takeshi Kawasaki<\/a><\/td>\nNagoya University<\/td>\nJPN<\/td>\n<\/tr>\n
Nobuyasu Koga<\/a><\/td>\nOsaka University<\/td>\nJPN<\/td>\n<\/tr>\n
Jian Ma<\/a><\/td>\nCarnegie Mellon University<\/td>\nUSA<\/td>\n<\/tr>\n
Hiroshi Makino<\/a><\/td>\nKeio University<\/small><\/td>\nJPN<\/td>\n<\/tr>\n
Marc M\u00e9zard<\/a> *<\/strong><\/td>\nUniversit\u00e0 Bocconi<\/td>\nITA<\/td>\n<\/tr>\n
Daiki Nishiguchi<\/a><\/td>\nInstitute of Science Tokyo<\/td>\nJPN<\/td>\n<\/tr>\n
Mor Nitzan<\/a><\/td>\nHebrew University of Jerusalem
<\/span><\/td>\n		ISR<\/td>\n<\/tr>\n
Mariko Okada<\/a><\/td>\nImperial College London & Osaka University<\/td>\nJPN<\/td>\n<\/tr>\n
Cengiz Pehlevan<\/a><\/td>\nHarvard University<\/td>\nUSA<\/td>\n<\/tr>\n
Gautam Reddy<\/a><\/td>\nPrinceton University<\/td>\nUSA<\/td>\n<\/tr>\n
Sunghan Ro<\/a><\/td>\nHarvard University<\/td>\nUSA<\/td>\n<\/tr>\n
Yasushi Sako<\/a><\/td>\nRIKEN<\/td>\nJPN<\/td>\n<\/tr>\n
Antonio Sclocchi<\/a><\/td>\n\u00c9cole polytechnique f\u00e9d\u00e9rale de Lausanne<\/span><\/td>\nCHE<\/td>\n<\/tr>\n
Dominic Skinner<\/a><\/td>\nThe Flatiron Institute<\/td>\nUSA<\/td>\n<\/tr>\n
Kaoru Sugimura<\/a><\/td>\nThe University of Tokyo<\/td>\nJPN<\/td>\n<\/tr>\n
Shinsuke Uda<\/a><\/td>\nYamaguchi University<\/td>\nJPN<\/td>\n<\/tr>\n
Vincenzo Vitelli<\/a><\/td>\nUniversity of Chicago<\/small><\/td>\nUSA<\/td>\n<\/tr>\n
Lei Wang<\/a><\/td>\nChinese Academy of Sciences<\/td>\nCHN<\/td>\n<\/tr>\n
Sho Yaida<\/a><\/td>\nMeta<\/td>\nUSA<\/td>\n<\/tr>\n
Hajime Yoshino<\/a><\/td>\nOsaka University<\/td>\nJPN<\/td>\n<\/tr>\n
Francesco Zamponi<\/a><\/td>\nSapienza University<\/td>\nITA<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n<\/div>\n<\/div>\n\n\n\n

[Poster Session] <\/h3>\n\n\n\n

Poster session will be held at \u201cFoyer\u201d, the space in front of 
the entrance of Koshiba Hall. 
The poster size is \u201cA0\u201d format, i.e., 118.9 cm x 84.1 cm. 

*List of posters<\/strong><\/a>
For detailed information including abstracts, please click HERE<\/a><\/strong> for PDF File.<\/p>\n\n\n\n

\u3010ISPI2024 Organizing Committee\u3011<\/h3>\n\n\n\n

Yoshiyuki Kabashima<\/a>
Kazumasa A. Takeuchi<\/a>
Kyogo Kawaguchi<\/a>
<\/p>\n\n\n\n

\u3010Sponsors\u3011<\/h3>\n\n\n
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\"\"<\/a><\/figure><\/div>\n\n\n

DAIKIN INDUSTRIES, LTD.
<\/p>\n\n\n

\n
\"\"<\/a><\/figure><\/div>\n\n\n

Institute for Physics of Intelligence, The University of Tokyo<\/p>\n\n\n\n


JST JPMJCR1912 \"Deciphering intracellular phenomena through information flow\u201d<\/p>\n\n\n\n

\u3010Contact\u3011<\/h3>\n

ispi2024[at]ipi-ut.org<\/p>\n\n\n\n\n\n

\u2190to ipi TOP\u00a0<\/a><\/h5>\n\n\n\n
\"\"<\/figure>\n","protected":false},"excerpt":{"rendered":"ISPI2024: Nov. 6-8, 2024 @Koshiba Hall, The University of Tokyo \u3010Access\u3011 Koshiba Hall (No. 100 in Hongo Campus […]","protected":false},"author":13,"featured_media":5052,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[22],"tags":[28],"_links":{"self":[{"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/posts\/4813"}],"collection":[{"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/comments?post=4813"}],"version-history":[{"count":20,"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/posts\/4813\/revisions"}],"predecessor-version":[{"id":5258,"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/posts\/4813\/revisions\/5258"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/media\/5052"}],"wp:attachment":[{"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/media?parent=4813"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/categories?post=4813"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.phys.s.u-tokyo.ac.jp\/en\/wp-json\/wp\/v2\/tags?post=4813"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}