Area of research
Nuclear and High Energy Physics · Artificial Intelligence
Research interest
Research interests include Large Hadron Collider, Computer science, Inference, Particle physics, Physics, and Higgs boson.
A Lorentz-equivariant transformer for all of the LHC
Back to the formula - LHC edition
Simulation-based inference in particle physics
Mining gold from implicit models to improve likelihood-free inference
The frontier of simulation-based inference
Effective LHC measurements with matrix elements and machine learning
Mining for Dark Matter Substructure: Inferring Subhalo Population Properties from Strong Lenses with Machine Learning
Constraining Effective Field Theories with Machine Learning
A guide to constraining effective field theories with machine learning
Better Higgs boson measurements through information geometry
Symmetry restored in dibosons at the LHC?