[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

[Seminar] MLDS Seminar 2023-9 by Ms. Kira Duesterwald (PhD Student, University College London), Ms. Clea Mehnia Laouar (PhD Student, OIST), Seminar Room L5D23

Speaker 1: Ms. Kira Duesterwald, Ph. D Student, University College London

Title: Perceptual inference in an uncertain world: how you report matters

Speaker 2: Ms. Clea Mehnia Laouar, Ph. D Student, OIST

Title: Large scale similarity search with Optimal Transport

[Online Machine Learning Insights and Innovations (MLII) Seminar Series] How to Detect Out-of-Distribution Data in the Wild? Challenges, Research Progress, and Path Forward, By Assistant Prof. Sharon Yixuan Li, University of Wisconsin-Madison

Speaker: Dr. Sharon Yixuan Li, Assistant Professor, Department of Computer Sciences 
University of Wisconsin-Madison 

[Seminar]Domain-specific Large Language Models: Case Studies in Educational and Medical Fields by Dr. Irene Li, Assistant professor, the University of Tokyo, Seminar Room L5D23

Speaker: Dr. Irene Li, Assistant Professor, University of Tokyo, Seminar Room L5D23