Teaching Winter 2026/2027

Students will present papers from a list of important recent works in machine learning and reasoning compiled by the professor. Topics include deep and reinforcement learning, transformer and GNN architectures, and more. The focus will be in the use of these techniques in simple applications that are crisp and easy to understand. The list of papers will also include those underlying well-known learning systems like as Dalle-E, ChatGPT, Alphazero, Gato, etc.

This seminar works through the foundations of deep learning by following modern textbooks. Students will each take ownership of a topic, present it to the group, and lead the subsequent discussion.