Timetable for the TrustML YSS online seminars from Jan. to Feb., 2023.

Time (JST)	Time (Your Browser)	Title	Speaker	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 View Zhen 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