Timetable for the TrustML YSS online seminars from Jul. to Dec., 2023. Time (JST)Time (Your Browser)TitleSpeaker Video Link 10:00-11:00 02/08/2023 On the Theory of Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond:Thanh Nguyen-Tang (Johns Hopkins University) Video 11:00-12:00 02/08/2023 History and Latest Developments of Image Generation Models: From GANs to Diffusion Models:JianFu Zhang (Shanghai Jiao Tong University) Video 13:15-14:15 07/08/2023 Controllable Image Generation FOR FREE with Diffusion Models:Yutong He (Carnegie Mellon University) Video 14:00-15:00 11/09/2023 Reliable Machine Learning - Methods and Applications in Environmental Sciences:Jörg Wicker (University of Auckland) Video 10:00-11:00 11/10/2023 Successor Features Representations: Human-inspired Transfer Reinforcement Learning and its Application to Social Robotics:Chris Reinke (Inria Grenoble) Video 15:00-16:00 16/10/2023 Distributed AI: Scalability, Efficiency, and Generalizability:Bo An (Nanyang Technological University) No Video 11:00-12:00 17/11/2023 Automated Data Curation: Algorithms and theory for finding mislabeled data in any machine learning dataset:Dr. Curtis Northcutt (CEO & Co-Founder of Cleanlab) No video 11:00-12:00 05/12/2023 Post-Episodic Reinforcement Learning Inference:Ruohan Zhan (Hong Kong University of Science and Technology) Video
