1. Rediscovering orbital mechanics with Machine Learning
   • Learning to Discover
   • Files
   • Institut Pascal Paris-Saclay
   • April 2022
   • Recording (Part 1)
   • Recording (Part 2)
2. Robust Simulation-Based Inference with Bayesian Neural Networks
   • Cosmology from Home
   • Files
   • Remote
   • June 2022
3. Machine LearningPowered Inference in Cosmology
   • AI Seminar
   • Files
   • SCIENCE AI Centre, University of Copenhagen
   • April 2023
4. Machine LearningPowered Inference in Cosmology
   • Cosmic Connections
   • Files
   • Center for Computational Astrophysics, Flatiron Institute
   • May 2023
5. Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
   • ICML 2023
   • Files
   • Hawaii Convention Center, Hawaii
   • July 2023
   • Recording
6. Accelerated Forward Modelling
   • Learning the Universe Collaboration Meeting
   • Files
   • Center for Computational Astrophysics, Flatiron Institute
   • September 2023
   • Recording
7. Machine LearningPowered Inference in Cosmology
   • 14th RESCEU Symposium
   • Files
   • RESCEU, the University of Tokyo
   • October 2023
8. Sampling Methods
   • GFlowNet Workshop
   • Files
   • Mila, Montreal
   • November 2023

Inspired by https://github.com/williamjameshandley/talks