{"id":2683,"date":"2022-10-12T11:02:32","date_gmt":"2022-10-12T02:02:32","guid":{"rendered":"https:\/\/www.kmi.nagoya-u.ac.jp\/eng\/?post_type=events&p=2683"},"modified":"2022-11-20T23:21:25","modified_gmt":"2022-11-20T14:21:25","slug":"machine-learning-in-astrophysics-workshop","status":"publish","type":"events","link":"https:\/\/www.kmi.nagoya-u.ac.jp\/eng\/events\/2683\/","title":{"rendered":"Machine Learning in Astrophysics Workshop"},"content":{"rendered":"
\n
\n

Machine Learning in Astrophysics Workshop<\/h2>\n

Nov21-22 @ ES635, KMI, Nagoya University
\n<\/b><\/span>Start at 10am on 21st and end at 5pm on 22nd<\/p>\n

<\/span><\/b><\/span><\/p>\n

This is the third workshop of the series of machine learning workshops that aim at familiarizing people with running machine learning using GPU.
\nThis workshop is hosted by Kavli IPMU, University of Tokyo, and co-hosted by KMI.
\nThe registration is closed.<\/p>\n

Program<\/h5>\n

Day 1 Morning(10am-12pm): Overview session (20+10 mins\/talk)
\n<\/span><\/strong>Introduction to machine learning (Jia Liu)
\nWhy should we use GPUs? (Tilman Hartwig)
\nIntroduction to libraries: CuPy, JAX\/Flax, Pytorch, and GPU resources: available supercomputers and Google Colab (Ken Osato)
\nOverview of ongoing and upcoming cosmological projects (Hironao Miyatake)<\/p>\n

Day 1 Afternoon (1:30pm-5pm)
\n<\/strong><\/span>Short research talks (3mins\/talk)
\n<\/strong>Daiki Iwasaki
\nEmi Fujitani
\nHai-Xia Ma
\nGenki Naruse
\nHanchun Jiang
\nKoya Murakami
\nNoriaki Nakasawa
\nRyusei Kano
\nKoki Tanida
\nYoon Seongwhan
\nJoaquin Armijo
\nMohammad Mardini
\nJingjing Shi
\nHideki Tanimura
\nJunjie Xia
\nAndr\u00e9s Alejandro Plazas Malag\u00f3n
\nAkira Tokiwa
\nKiyoaki Omori
\nValeri Vardanyan
\nRui Lan Zhang
\nTakahiro Nishimichi
\nAtsushi Taruya
\nAtsushi J. Nishizawa<\/p>\n<\/div>\n<\/div>\n

Collaborative hack session
\n<\/strong>Propose hack projects at <\/span>Google slides (link will be provided to participants)
\n<\/span>Form groups for each hack project<\/span><\/p>\n

\n

\n
\n

Day 2 (9am-4pm)
\n<\/span><\/strong>Invited in-depth research talks (15+5 mins\/talk)
\n<\/strong>Emulators of large-scale structures (Satoshi Tanaka)
\nUnderstanding galaxies through dimensionality reduction (Suchetha Cooray)
\nML-based deblending (Maxime Paillassa)
\nGraph Neural Networks : A feedback from High Energy User (Sanmay Ganguly)<\/p>\n

    \n
  • \n

    Collaborative hack session (cont’d)
    \n<\/strong>Continue to work on the hack project<\/span><\/p>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n

    Travel support<\/b><\/h5>\n

    Some financial support may be available for junior people (students\/PD). The cost of accommodation and\/or transportation will be supported depending on the number of people who need the support. To be confirmed by Hironao.<\/span><\/p>\n

    Participants<\/h5>\n

    Chiba: Ken Osato
    \nKavli IPMU: Jia Liu, Joaquin Armijo, Mohammad Mardini, Jingjing Shi, Hideki Tanimura, Junjie Xia, Akira Tokiwa, Valeri Vardanyan
    \nUTokyo: Tilman Hartwig, Kana Moriwaki (Zoom), Hanchun Jiang, Rui Lan Zhang, Sanmay Ganguly
    \nNagoya (C-lab): Hironao Miyatake, Maxime Paillassa, Yoon Seongwhan, Koya Murakami, Genki Naruse, Noriaki Nakasawa, Koki Tanida
    \nNagoya (Omega-lab): Suchetha Cooray, Kiyoaki Omori (Zoom Monday a.m.), Emi Fujitani, Sena Matsui, Ryusei Kano, Daiki Iwasaki, Hai-Xia Ma
    \nYITP, Kyoto: Satoshi Tanaka, Takahiro Nishimichi, Atsushi Taruya
    \nSLAC\/KIPAC: Andr\u00e9s Alejandro Plazas Malag\u00f3n
    \nGifu Shotoku: Atsushi J. Nishizawa
    \nNAOJ: Miho Ishigaki (Zoom)<\/p>\n


    \n<\/p>\n

    \n","protected":false},"excerpt":{"rendered":"

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Program Day 1 Morning(10am-12pm): Overview session (20+10 mins\/talk) Introduction to machine learning (Jia Liu) Why should we … <\/p>\n","protected":false},"featured_media":0,"template":"","tags":[],"events_category":[],"acf":[],"yoast_head":"\nMachine Learning in Astrophysics Workshop - KMI - Nagoya University<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.kmi.nagoya-u.ac.jp\/eng\/events\/2683\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Machine Learning in Astrophysics Workshop - KMI - Nagoya University\" \/>\n<meta property=\"og:description\" content=\"Machine Learning in Astrophysics Workshop Nov21-22 @ ES635, KMI, Nagoya University Start at 10am on 21st and end at 5pm on 22nd This is the third workshop of the series of machine learning workshops that aim at familiarizing people with running machine learning using GPU. 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