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