Resources

Geometric Deep Learning (Term 3, 24-25)

Papers and Surveys

• Statistical exploration of the Manifold Hypothesis

Textbooks

• Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reinforcement Learning (Term 2, 24-25)

Papers and Surveys

• AlphaGo
• AlphaFold

Textbooks

• Reinforcement Learning: An Introduction

Lecture Series

• DeepMind x UCL | Deep Learning Lecture Series 2021
• CS285 Deep Reinforcement Learning

Diffusion Models (Term 1, 24-25)

Tutorials

• Step-by-Step Diffusion: An Elementary Tutorial
• Denoising Diffusion Probabilistic Models in Six Simple Steps
• Tutorial on Diffusion Models for Imaging and Vision

Papers and Surveys

• Score-Based Generative Modeling through Stochastic Differential Equations
• Diffusion Models: A Comprehensive Survey of Methods and Applications
• High-Resolution Image Synthesis with Latent Diffusion Models
• A Unified Framework for U-Net Design and Analysis

Blogs and Videos

• Song Yang’s Blog Post on Diffusion
• Diffusion Models | PyTorch Implementation
• Diffusion Models | Paper Explanation | Math Explained
• Score-based Generative Modeling in Latent Space

General Machine Learning Textbooks

• Probabilistic Machine Learning 1 - Kevin Murphy
• Probabilistic Machine Learning 2 - Kevin Murphy
• Mathematics for Machine Learning
• Deep Learning Foundations and Concepts - Chris and Hugh Bishop