Bayesian Inference

24 November 2021 NaturalGradient Variational Inference 2: ImageNetscale 
21 July 2021 Bayesian Deep Learning via Subnetwork Inference
Chemistry

30 April 2021 Reinforcement Learning for 3D Molecular Design
Deep Learning

24 November 2021 NaturalGradient Variational Inference 2: ImageNetscale 
21 July 2021 Bayesian Deep Learning via Subnetwork Inference
Diffusion Model

20 January 2024 An introduction to Flow Matching
Foundations

31 March 2021 What Keeps a Bayesian Awake At Night? Part 2: Night Time
— Leonard Jimmie Savage (1917–1971) 
31 March 2021 What Keeps a Bayesian Awake At Night? Part 1: Day Time
— PierreSimon Laplace (1749–1827)
Generative Modelling

20 January 2024 An introduction to Flow Matching
Mathematics

13 April 2021 NaturalGradient Variational Inference 1: The Maths
Molecular Design

30 April 2021 Reinforcement Learning for 3D Molecular Design
Normalising Flows

20 January 2024 An introduction to Flow Matching
Reinforcement Learning

30 April 2021 Reinforcement Learning for 3D Molecular Design
Theory

13 April 2021 NaturalGradient Variational Inference 1: The Maths 
31 March 2021 What Keeps a Bayesian Awake At Night? Part 2: Night Time
— Leonard Jimmie Savage (1917–1971) 
31 March 2021 What Keeps a Bayesian Awake At Night? Part 1: Day Time
— PierreSimon Laplace (1749–1827)