[Seminar]MLDS Unit Seminar 2024-10 by Prof. Fumihiko Ishikawa (RIKEN/ Institute of Science TOKYO)

Speaker: Prof. Fumihio Ishikawa (RIKEN/Institute of Science TOKYO)

Title: Humanized Mice: Understanding human stem cell, immunity and diseases

[Seminar] MLDS Unit Seminar 2024-9 by Mr. Jose Restom (Mohamed bin Zayed University of Artificial Intelligence: MBZUAI, UAE), Dr. Mohammad Sabokrou, OIST at D23, Lab5

Speaker 1: Mr. Jose Restom (Mohamed bin Zayed University of Artificial Intelligence: MBZUAI, UAE)

Title: Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition

Speaker 2: Dr. Mohammad Sabokrou, Staff Scientist, OIST 

Title: Universal Novelty Detection Through Adaptive Contrastive Learning

[Seminar] MLDS Unit Seminar 2024-8 by Ms. Weiqiu You (University of Pennsylvania) , Mr. Xiaoyuan Zhang (City University of Hong Kong), at D23, Lab5

Speaker 1: Ms. Weiqiu You (University of Pennsylvania)

Title: Sum-of-Parts: Faithful Attributions for Groups of Features

Speaker 2:  Mr. Xiaoyuan Zhang (City University of Hong Kong)

Title :  Multiobjective meets machine learning, from a single solution, a finite set of solutions to infinite solutions. 

[Seminar] MLDS Unit Seminar 2024-7 by Mr. Rahul Steiger (ETH Zurich), Mr. Thibault De Surrel (Université Paris-Dauphine) at C210

Speaker 1: Mr. Rahul Steiger (ETH Zurich)

Title: In-Context Predictions on ICU Time-Series

Speaker 2: Mr. Thibault De Surrel (Université Paris-Dauphine)

Title: How Riemannian geometry can help us build better Brain Computer Interfaces

[Seminar] MLDS Unit Seminar 2024-6 by Mr. Kazusato Oko (The University of Tokyo), Mr. Yuki Takezawa (Kyoto University) at C210

Speaker 1: Mr. Kazusato Oko (The University of Tokyo)

Title: How to learn a sum of diverse features provably: A case study of ridge combinations

Speaker 2: Mr. Yuki Takezawa (Kyoto University)

Title: Polayk Meets Parameter-free Clipped Gradient Descent

Joint Workshop IBISML,NC,BIO,MPS

MLDS Unit seminar-2, Makoto Yamada, OIST (PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis)

MLDS unit seminar, Makoto Yamada (OIST), PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis

[Seminar] MLDS Unit Seminar 2024-1 by Dr. Gordon Wichern

Dr. Gordon Wichern, Senior Principal Research Scientist, MERL (Mitsubishi Electric Research Laboratories) 

Title: Towards explaining audio generative models

[Online Machine Learning Insights and Innovations (MLII) Seminar Series] Unlocking the Potential of Federated Learning in Medical Imaging, By Prof. Shadi Albarqouni, University of Bonn

Speaker:  Prof. Shadi Albarqouni, Computational Medical Imaging Research, University of Bonn

[Online Machine Learning Insights and Innovations (MLII) Seminar Series] Self-Supervised Learning from Images and Videos using Optimal Transport, By Yuki M. Asano, University of Amsterdam

Speaker: Dr. Yuki M. Asano, Assistant Professor, QUVA Lab, University of Amsterdam