Courses
Université de Montréal, Quebec
Winter 2024: Towards AGI: Scaling, Emergence and Alignment (IFT6760A)
Winter 2023: Towards AGI: Scaling, Alignment and Emergent Behaviors in Neural Nets (IFT6760A)
Winter 2022: Neural Scaling Laws (IFT6760B/6167)
Winter 2021: Continual Learning (IFT6760B)
Winter 2020: Continual Learning: Towards "Broad" AI (IFT6760B)
Columbia University, New York
Spring 2002, 2003: Statistical Pattern Recognition (ELEN E6880)
Spring 2007: Learning and Empirical Inference (COMS 6998-4)
Spring 2011: Sparse Signal Modeling (ELEN E6898)