All Talks and Posters

Talks 🔗 🔗

  1. データ拡張による因果グラフ的事前知識の予測モデリングへの活用
    November 13, 2021  Online (Zoom)  IBIS 2021 (No.66)
    slides (Japanese)
  2. 可逆ニューラルネットのSobolev空間における普遍性について
    November 11, 2021  Online (Zoom)  IBIS 2021 (No.78)
    石川勲, 手嶋毅志, 東條広一, 大野健太, 池田正弘, 杉山将
  3. γ-ABC: 頑健なダイバージェンス推定量を用いた外れ値ロバストな近似ベイズ計算
    November 10, 2021  Online (Zoom)  IBIS 2021 (No.4)
    藤澤 将広, 手嶋 毅志, 佐藤 一誠, 杉山 将
  4. Lessons Learned from Big Data Project in Bangsamoro
    July 15, 2021  Online (Zoom)  KIC Webinar Series: ICT x Social Investment in The Philippines
    video (Japanese)
  5. 因果的知識は予測モデルの役に立つか?
    July 02, 2021  Online (Zoom)  DL輪読会-外部セミナー (Invited talk)
    slides (Japanese)
  6. Coupling flow-based Invertible Neural Networks Are Diffeomorphism Approximators
    July 22, 2020  Online (Zoom)  Mathiine
    slides
  7. 構造的因果モデルの類似性に基づくドメイン適応
    March 29, 2020  Zoom (online)  Mathiine-learning
    Details
  8. Clipped Matrix Completion: A Remedy for Ceiling Effects.
    July 10, 2019  Tokyo, Japan  IRCN Math/Computation Seminar
    Details
  9. 打ち切り行列補完:天井効果への処方箋 (in Japanese)
    January 11, 2019  Kawasaki, Japan  Toshiba R&D Center
  10. Clipped matrix completion (in Japanese)
    December 15, 2018  Tokyo, Japan  Math-iine Learning

Posters (Physical/Virtual) 🔗 🔗

  1. Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
    December 07, 2020  Online   NeurIPS 2020 poster
  2. Few-shot Domain Adaptation by Causal Mechanism Transfer
    July 17, 2020  Online   International Conference on Machine Learning (ICML) 2020 slides
  3. Clipped matrix completion
    June 19, 2018  Tokyo, Japan   International Research Center for Neurointelligence (IRCN) Site Visit Poster Session