Timetable for the TrustML YSS online seminars from Jan. to Feb., 2023. Time (JST)Time (Your Browser)TitleSpeaker Video Link 16:00-17:00 11/01/2023 Learning Deep Feature in Causal Inference with Unobserved Confounder:Liyuan Xu (Gatsby Computational Neuroscience Unit) Video 16:00-17:00 18/01/2023 Knowledge Augmentation: Towards multi-objective robust machine learning for critical systems:Salah Ghamizi (University of Luxembourg) Video 17:00-18:00 18/01/2023 Multi-Label Classification Neural Networks with Hard Logical Constraints:Eleonora Giunchiglia (University of Oxford) Video 18:00-19:00 18/01/2023 Adversarial machine learning in the real-world: assessing and improving model robustness in domain-constrained data space:Maxime Cordy (University of Luxembourg) Video 17:00-18:00 24/01/2023 Challenges in Adversarial Attacks for Motion Estimation:Jenny Schmalfuss (University of Stutgart) Video 17:00-18:00 30/01/2023 Rigorous evaluation of machine learning models:Olivia Wiles (DeepMind) Video 09:00-10:00 01/02/2023 Robust Learning via Cross-Task Consistency:Alexander (Sasha) Sax (UC Berkeley) Video 17:00-18:00 06/02/2023 Scalable Trustworthy AI -- Beyond "what", towards "how": Seong Joon Oh (University of Tübingen) Video 14:00-15:00 08/02/2023 Understanding Generalized Out-of-Distribution Detection: A Theoretical ViewZhen Fang (University of Technology Sydney) Video 17:00-18:00 16/02/2023 Adversarial attack in black-box settings: Yiwen Guo Video 09:00-10:00 22/02/2023 Datamodels: Predicting Predictions from Training Data: Andrew Ilyas (MIT) Video
