Professors and courses(To be completed)
Pierre Baldi
[intermediate/advanced] From Deep Learning and Transformers to AI Risks and Safety
Sean Benson
[intermediate] Digital Twins and Generative AI for Personalised Medicine
Mark Derdzinski
[introductory] From Prototype to Production: Evaluation Strategies for Agentic Applications
Samira Ebrahimi Kahou
[intermediate/advanced] Explainability in Machine Learning
Elena Giusarma
[introductory/intermediate] Machine Learning at the Frontier of Astrophysics: Simulating the Universe
Xia “Ben” Hu
[introductory/advanced] Efficient LLM Serving: Algorithms, Systems and Applications
Jayashree Kalpathy-Cramer
[introductory/intermediate] Multimodal AI for Healthcare
Yingbin Liang
[intermediate/advanced] Theory on Training Dynamics of Transformers
Chen Change Loy
[intermediate/advanced] Harnessing Prior for Content Enhancement and Creation
Preslav Nakov
tba
Evan Shelhamer
[intermediate] Test-Time Adaptation for Updating Models on New and Different Data
Atlas Wang
[intermediate] Low Rank Strikes Back in the Era of Large Language Models
Xiang Wang
[advanced] Large Language Models for User Behavior Modeling: Cross-Modal Interpretation, Preference Optimization, and Agentic Simulation
Rex Ying
[intermediate/advanced] Multimodal Foundation Models for Graph-Structured Data: Framework and Scientific Applications