Mainz Institute for Theoretical Physics

Day 2, part 5: Double-Copy and Unitarity of Tree-Level String Amplitudes

Michael Peskin (SLAC): Standard Model - Lecture 1

The Coaction Lecture 1

Regression Networks: Precision and Uncertainty Estimation Part 4

Evgeny Akhmedov (MPI Heidelberg): Neutrino Phenomenology - Lecture 1

Introduction to Generative Models and Anomaly Detection Part 1

Generative Models at the LHC Part 4

Field Theories and ML Part 2

Generative Models at the LHC Part 1

From GNNs and Attention to Particle Flow Part 1

From GNNs and Attention to Particle Flow Part 2

Neural Fields

ML for string theory and mathematical structures Part 2

Astrophysics & ML/DL Part 2

4 types of generative models Part 2

Graph Neural Networks for Experimental Particle Physics Part 2

ML applications in experiments Part 1

Graph Neural Networks for Experimental Particle Physics Part 3

Introduction to Generative Models and Anomaly Detection Part 2

Generative Models at the LHC Part 2

Generative Models at the LHC Part 3

Learning, Neural Networks, and Field Theory Part 2

Astrophysics & ML/DL Part 1

Interpretable Machine Learning Part 1

ML applications in experiments Part 3

ML applications in experiments Part 2

Regression Networks: Precision and Uncertainty Estimation Part 5