Timetable for the TrustML YSS online seminars from Nov. to Dec., 2022.

Time (JST)Time (Your Browser)TitleSpeaker Video Link

14:00-15:00 1/11/2022


Monte Carlo simulation of physical systems with deep generative models:
Shinichi Nakajima (Technische Universität Berlin)
Video

16:30-17:30 16/11/2022


Trustworthy AI in SmartHealth and a case-study in Vietnam:
Phi Le Nguyen (Hanoi University of Science and Technology)
Video

15:00-16:00 25/11/2022


Towards Adversarial Robustness of Deep Vision Algorithms:
Hanshu Yan (ByteDance)
Video

16:00-17:00 7/12/2022


Model Adaptation under Domain and Category Shift:
Shiqi Yang (Autonomous University of Barcelona)
Video

17:00-18:00 7/12/2022


3D Common Corruptions and Data Augmentation:
Oğuzhan Fatih Kar (EPFL)
Video

19:00-20:00 9/12/2022


Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs:
Ezgi Korkma (DeepMind)
No video

17:00-18:00 13/12/2022


Robustness via Cross Domain Ensembles:
Teresa Yeo (EPFL)
Video

15:30-16:30 21/12/2022


On the Predictive Power of Graph Neural Networks:
Weihua Hu (Stanford University)
Video

10:00-11:00 29/12/2022


Trustworthy Machine Learning via Learning with Reasoning:
Bo Li (UIUC)
Video