Opening words

Recap: Pytorch + CNN + RNN

Recap: Pytorch + CNN + RNN

Transformers

Transformers

iceCube-intro

GNNs

GNNs

Anomaly detection

Two machine learning applications for LHC searches

End-to-end optimization of experiments with differentiable programming

Anomaly detection

GANs

GANs

VAEs

VAEs

Normalizing Flows

Uncertainties with ML

Black box optimization, Bayesian Optimization

Black box optimization, Bayesian Optimization

Generative Models for the ultra-fast simulation of the LHCb experiment

Automating and accelerating scientific discovery in HEP with generative models

Black-box optimisation with Local Generative Surrogates

Interpretability

Interpretability

Neural ODE

NeuralODE

LNN, HNN

LNN, HNN

Lipschitz constrained networks and their uses in optimal transport

Competition discussion/practice

Closing words