馃摎 Resources & Past Talks
Table of Contents
- Previous Sessions
- Additional Resources
- Have a useful resource to share? Open an issue or PR on our GitHub repository!
Previous Sessions
All materials from past reading group sessions are available in our YouTube channel. They are also in greater detail below:
| Date | Topic | Presenter | Materials |
|---|---|---|---|
| 5/11/2025 | Intro & Probabilistic Inference Overview | David R铆os Insua | 馃搳 slides 路 馃帴 video |
| 19/11/2025 | Variational Inference | Pablo G. Arce | 馃搳 slides 路 馃帴 video 路 馃捇 code |
| 3/12/2025 | Markov chain Monte Carlo | Miguel Santos | 馃搳 slides 路 馃帴 video 路 馃捇 code |
| 17/12/2025 | Sequential Monte Carlo | Mario Chac贸n-Falc贸n | 馃搳 slides 路 馃帴 video 路 馃捇 code |
| 14/01/2026 | Fusing Variational Inference and Markov Chain Monte Carlo | Max Hird | 馃搳 slides 路 馃帴 video |
| 21/01/2026 | Bayesian Neural Networks | Daniel Corrales | 馃搳 slides 路 馃帴 video 路 馃捇 code |
| 04/02/2026 | Beyond the i.i.d. assumption. Distributional shifts | Carlos Garc铆a Meixide | 馃搳 slides 路 馃帴 video |
| 18/02/2026 | Gaussian Processes | Sim贸n Rodr铆guez Santana | 馃搳 slides 路 馃帴 video 路 馃捇 code |
| 11/03/2026 | Generative models: Variational Autoencoders and Autoregressive Models | David R铆os Insua | 馃搳 slides 路 馃帴 video |
| 25/03/2026 | Normalizing Flows | Roi Naveiro | 馃搳 slides 路 馃帴 video 路 馃捇 code |
| 08/04/2026 | Energy-based models | Victor Gallego | 馃搳 slides 路 馃帴 video |
| 15/04/2026 | Diffusion models | Alberto Suarez | 馃搳 slides 路 馃帴 video |
| 29/04/2026 | State Space Models | Bruno Flores | 馃搳 slides 路 馃帴 video |
Additional Resources
馃摉 Book & Official Materials
- Probabilistic Machine Learning: Advanced Topics - Official book website
- Book GitHub Repository - Code examples and supplements
- Murphy鈥檚 Webpage - Author鈥檚 webpage
Datalab Past Reading Groups
Have a useful resource to share? Open an issue or PR on our GitHub repository!