conftrace_

particle physics

10 papers

Explore in graph

Co-occurring keywords · papers mentioning both

neural network (3) generative adversarial network (2) equivariant neural network (2) feature learning (2) transformer architecture (2) higgs boson (1) deep neural network (1) normalizing flow (1) feature augmentation (1) physics simulation (1)

Papers

Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics NeurIPS 2024 End-to-End Pipeline for Trigger Detection on Hit and Track Graphs AAAI 2023 Particle Transformer for Jet Tagging ICML 2022 A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups ICML 2021 A Survey of Machine Learning-Based Physics Event Generation IJCAI 2021 Particle Cloud Generation with Message Passing Generative Adversarial Networks NeurIPS 2021 Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN) IJCAI 2021 Set2Graph: Learning Graphs From Sets NeurIPS 2020 Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model NeurIPS 2019 Searching for Higgs Boson Decay Modes with Deep Learning NeurIPS 2014