for beginners and
for experienced people on a tight schedule. These provide learning and reading paths respectively.
Our take on ICLR 2022 - Part 1
ICLR is one of the most important and prestigious conferences in the ML community. It spans all ML topics, from embeddings to Graph neural …
May 10, 2022
Certified error rates for neural networks
Adversarial training has been shown to improve robustness of neural networks to certain classes of data perturbations. Despite constant …
Robustness in ML
Jan 14, 2022
Natural, Trust Region and Proximal Policy Optimization
We present an overview of the theory behind three popular and related algorithms for gradient based policy optimization: natural policy …
Aug 10, 2021
Cross-validation: what does it estimate?
Cross-validation: what does it estimate and how well does it do it?
Bates et al. focus on cross validation for error estimation and show …
Error Estimation and Model Selection
Jun 11, 2021
Solving PDEs With Neural Networks
We discuss some current trends in applying ML to the solution of differential equations, and the difficulties faced. We focus on a family of …
Simulation and AI
Jan 30, 2021