Archive
Topics
Neural Approaches to Optimal Transport
Building Foundations for Scientific Machine Learning at Scale
Investigating Solid-Liquid Interfaces Using High-Dimensional Neural Network Potentials
Statistical Challenges in Protein Dynamics Modelling
Deep Learning meets Shearlets: Explainable Hybrid Solvers for Inverse Problems in Imaging Science
Deep Learning for Molecular Physics
Enzyme function - much to understand, optimize, and discover
Machine Learning for X-Ray and cryoEM at SLAC
Invertible Neural Networks and their Applications in the Sciences
Geometric Deep Learning: From Euclid to Drug Design
- Watch a similar talk by Prof. Michael Bronstein on YouTube
A Methematical Perspective of Machine Learning
Introducing JUNE - an open-source epidemiological simulation
Quantum Machine Learning in Chemical Compound Space
- Watch the talk by Prof. Anatole von Lilienfeld on YouTube
The Inductive Bias in Machine Learning
Big Data, Artificial Intelligence & Ethics