Deep Learning:
Theory, Applications, and Implications

March 18-20, 2024

RIKEN AIP, Nihonbashi, Tokyo, JAPAN.

Schedule (Updated 18/03)

v5_speakers_Short_schedule_DL2024.pdf

Program (Updated 18/03)

DL2024_Workshop Agenda_v3.pdf

Abstracts

Abstract_DL2024.pdf

DL2024 is the workshop that aims to bring together leading scientists in deep learning and related areas within machine learning, artificial intelligence, mathematics, statistics, and neuroscience. No formal submission is required. Participants are invited to present their recently published work as well as work in progress and to share their vision and perspectives for the field.

Speakers

Shun-ichi Amari (RIKEN)
Nihat Ay (Hamburg University of Technology)
Pierre Baldi (University of California Irvine)
Xavier Bresson (National University of Singapore)
Marco Cuturi (Apple / CREST-ENSAE)
Kenji Doya (Okinawa Institute of Science and Technology)
Kenji Fukumizu (The Institute of Statistical Mathematics)
Arthur Gretton (University College London)
Masaaki Imaizumi (The University of Tokyo / RIKEN AIP)
Yongdai Kim (Seoul National University)
Emtiyaz Khan (RIKEN AIP)
Guido Montúfar (University of California, Los Angeles)
Klaus-Robert Mueller (Technische Universität Berlin)
Atsushi Nitanda (A*STAR)
Ilsang Ohn (Inha University)
Tomaso Poggio (Massachusetts Institute of Technology)
Minh Ha Quang (RIKEN AIP)
Le Song (Biomap / MBZUAI)
Sho Sonoda (RIKEN AIP)
Alessandro Sperduti (University of Padova)
Masashi Sugiyama (RIKEN AIP / The University of Tokyo)
Taiji Suzuki (The University of Tokyo / RIKEN AIP)
Akiko Takeda (The University of Tokyo / RIKEN AIP)
Ichiro Takeuchi (Nagoya University / RIKEN AIP)
Yu-Chiang Frank Wang (National Taiwan University)
Sumio Watanabe (Tokyo Institute of Technology)
Naoto Yokoya (The University of Tokyo / RIKEN AIP)
Amy Zhang (The University of Texas at Austin)
Han Zhao (University of Illinois at Urbana-Champaign)
Qibin Zhao (RIKEN AIP)
Ding Xuan Zhou (University of Sydney)

Past DL Workshop

Organizers

Minh Ha Quang (RIKEN AIP)
Masaaki Imaizumi (The University of Tokyo/RIKEN AIP)
Masashi Sugiyama (RIKEN AIP/The University of Tokyo)

Location

RIKEN Center for Advanced Intelligence Project
- Nihonbashi 1-chome Mitsui Building, 15th floor,1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan
- Access information

Deep Learning: Theory, Applications, and Implications

Speakers

Shun-ichi Amari (RIKEN)

Nihat Ay (Hamburg University of Technology)

Pierre Baldi (University of California Irvine)

Xavier Bresson (National University of Singapore)

Marco Cuturi (Apple / CREST-ENSAE)

Kenji Doya (Okinawa Institute of Science and Technology)

Kenji Fukumizu (The Institute of Statistical Mathematics)

Arthur Gretton (University College London)

Masaaki Imaizumi (The University of Tokyo / RIKEN AIP)

Yongdai Kim (Seoul National University)

Emtiyaz Khan (RIKEN AIP)

Guido Montúfar (University of California, Los Angeles)

Klaus-Robert Mueller (Technische Universität Berlin)

Atsushi Nitanda (A*STAR)

Ilsang Ohn (Inha University)

Tomaso Poggio (Massachusetts Institute of Technology)

Minh Ha Quang (RIKEN AIP)

Le Song (Biomap / MBZUAI)

Sho Sonoda (RIKEN AIP)

Alessandro Sperduti (University of Padova)

Masashi Sugiyama (RIKEN AIP / The University of Tokyo)

Taiji Suzuki (The University of Tokyo / RIKEN AIP)

Akiko Takeda (The University of Tokyo / RIKEN AIP)

Ichiro Takeuchi (Nagoya University / RIKEN AIP)

Yu-Chiang Frank Wang (National Taiwan University)

Sumio Watanabe (Tokyo Institute of Technology)

Naoto Yokoya (The University of Tokyo / RIKEN AIP)

Amy Zhang (The University of Texas at Austin)

Han Zhao (University of Illinois at Urbana-Champaign)

Qibin Zhao (RIKEN AIP)

Ding Xuan Zhou (University of Sydney)

Past DL Workshop

Organizers

Location

Deep Learning:
Theory, Applications, and Implications