Welcome

Introduction to Machine Learning: Part I

Tutorial: Intro to Neural Networks I

Introduction to Machine Learning: Part II

Tutorial: Intro to Neural Networks II

Overview of ML in collider physics

Overview of ML in neutrino physics

Differentiable Programming

Simulation-based Inference: Part I

Simulation-based Inference: Part II

Generative Models: Part I

Generative Models: Part II

Anomaly Detection (Lecture & Tutorial)

Neutrino Parallel Session (experiment specific)

Transformers: Part I

Transformers: Part II

Application: Muon Collider BIB (Lecture & Tutorial)

Career Panel

Efficient Machine Learning (Lecture & Tutorial)

Closeout Session: Recap and Networking