Past Sessions
Term 2, 24/25
Title | Date | Speaker | References | |
---|---|---|---|---|
Two-Timescale Methods in Learning | 12 Mar 2025 | David Leslie | Slides | |
Policy-Based RL | 6 Mar 2025 | Jack | Slides | |
Advanced Bandit Algorithms | 19 Feb 2025 | James Grant | Slides | |
Bandits and Exploration v.s. Exploitation | 12 Feb 2025 | Theo C | Slides | |
Tabular RL and Q-Learning | 6 Feb 2025 | Adam | Slides | |
Amortized Bayesian Experimental Design | 5 Feb 2025 | Adrien Corenflos | Slides | |
MDPs and How to Solve Them | 29 Jan 2025 | Rui | Notes ; Codes | |
Introduction to RL | 22 Jan 2024 | Andreas | Slides |
Term 1, 24/25
Title | Date | Speaker | References | |
---|---|---|---|---|
Commercial Diffusion Models | 11 Dec 2024 | Jack | Paper | |
Flow Matching | 27 Nov 2024 | Chris N | Slides Code |
|
Conditional Diffusions | 20 Nov 2024 | Tamas | Slides | |
Transformers | 13 Nov 2024 | Jack | Slides Paper; Video; Blog Technical Report Mathematical Intro |
|
Score Matching | 6 Nov 2024 | Connie | Slides | |
DDPMs | 30 Oct 2024 | Andreas | Slides Google Colab ; Paper Model Weights |
|
Introduction to Deep Learning | 23 Oct 2024 | Andreas | Slides Google Colab ; Paper Introduction to PyTorch |
|
A Brief Overview of Diffusion Models | 16 Oct 2024 | Rui | Score-Based Diffusion paper Diffusion Models Survey |