Teaching Winter 2025/2026

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 lab course introduces students to Answer Set Programming (ASP), a declarative programming paradigm ideal for solving complex combinatorial problems. Through practical exercises and projects, students will learn to model problems and develop their own ASP-based solutions using modern solver technologies.