Past Events

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

2024年4月26日 (金) 11:00 12:00
Seminar Room L5D23, Lab5

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

2024年2月9日 (金) 16:30 17:30
Zoom

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

2024年1月24日 (水) 15:00 16:00
Zoom

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

2023年12月14日 (木) 13:00 14:00
Seminar Room L5D23, Lab5

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

2023年12月1日 (金) 10:00
Zoom https://oist.zoom.us/j/94680619697

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

2023年11月13日 (月) 11:00 12:00
Lab5, Seminar Room D23

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

[Seminar] MLDS Seminar2023-8 by Ms. ABEMGNIGNI NJIFON Marianne (Institute of Mathematical Stochastics of the University of Goettingen), Ms. Naghmeh Jamali (Islamic Azad University), Seminar Room L5D23

2023年9月28日 (木) 13:00 14:00
Seminar Room L5D23, Lab5

Speaker 1: Ms. ABEMGNIGNI NJIFON Marianne (Institute of Mathematical Stochastics of the University of Goettingen)

Title: Graph Convolution Networks for spatial interpolation of correlated data

Speaker 2: Ms. Naghmeh Jamali (Islamic Azad University)

Title: Trustworthy Textual models: Are the textual models robust against various backdoor attacks

[Seminar] MLDS Seminar-7 by Dr. Deborah Sulem (Barcelona School of Economics-UPF), Solaleh Mohammadi (Sharif University of Techonology), Seminar Room L5D23

2023年9月21日 (木) 13:00 14:00
Seminar Room L5D23, Lab5

Speaker 1: Dr. Deborah Sulem, Postdoctoral Scholar, Barcelona School of Economics- Universitat Pompeu Febra

Title: Scalable and adaptive variational Bayes methods for Hawkes processes

Speaker 2: Ms. Solaleh Mohammadi, PhD Student, Sharif University of Techonology

Title:  Semantic backdoor attacks

[Seminar] MLDS Seminar 2023-6 by Parsa Hosseini (Sharif University of Technology), Laura Sudupe Medinilla (KAUST), Seminar Room L5D23

2023年9月14日 (木) 13:00 14:00
Seminar Room L5D23, Lab5

Speaker 1: Mr. Parsa Hosseini, B.S. student, Sharif University of Technology

Title: Mitigating Spurious Correlation in Images by Intervention

Speaker 2: Ms. Laura Sudupe Medinilla, Ph.D. Student, King Abdullah University of Science and Technology

Title: Spatial profiling in translational research

[Seminar] MLDS Seminar 2023-5 by Dr. Makoto Yamada (Associate Professor, OIST), Ms. Terezie Sedlinska (PhD Student, OIST), Seminar Room L5D23

2023年7月13日 (木) 13:00 14:00
Seminar Room L5D23, Lab5

Speaker 1: Dr. Makoto Yamada, Associate Professor, OIST

Title: Approximating 1-Wasserstein Distance with Trees

Speaker 2: Ms. Terezie Sedlinska, PhD Student, OIST

Title:  Reinforcement learning behavioral modeling: Two studies of Pavlovian and operant valuation in humans and rats

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