Datasets
Dataset for 'A collection of particle physics datasets used for analyzing complex topologies and BSM physics at the LHC
using SPANet.'
Dataset for 'Generalizing to new geometries with Geometry-Aware Autoregressive Models (GAAMs)
for fast calorimeter simulation'
Dataset for 'Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention
Networks'
Dataset for 'Efficient Antihydrogen Detection in Antimatter Physics by Deep Learning'
Dataset for 'Enhanced Higgs Boson to Tau Tau Search with Deep Learning'
Dataset for 'Jet Substructure Classification in High-Energy Physics with Deep Neural
Networks'
Dataset for 'Parameterized Machine Learning for High-Energy Physics'
Dataset for 'Searching for Exotic Particles in High-Energy Physics with Deep Learning'
Dataset for 'Searching for Exotic Particles in High-Energy Physics with Deep Learning'
Dataset for 'Jet Flavor Classification in High-Energy Physics with Deep Neural Networks'
Dataset for 'Efficient Neutrino Oscillation Parameter Inference Using Gaussian Processes'
Dataset for 'Learning to Identify Electrons'
Dataset for 'Sparse Image Generation with Decoupled Generative Models'
Dataset for 'Learning to Isolate Muons'
Dataset for 'SARM: Sparse Autoregressive Model for Scalable Generation of Sparse Images in Particle Physics'
Publications
Relevant scientific articles published or submitted by our team.
If you use any data or tools from the MLPhysics Portal, please cite the appropriate article.
Submitted, 2023.
Submitted, 2023.
Submitted, 2023.
Submitted, 2023.
2021.
2021.
University of California, Irvine