Deep Graph anomaly detection with contrastive learning for new physics searches |
Deep Regression Techniques for Decoding Dark Matter with Strong Gravitational Lensing |
Deriving planetary surface composition from orbiting observations from spacecraft |
Diffusion Models for Fast Detector Simulation |
End-to-End Deep Learning Reconstruction for CMS Experiment |
End-to-End Deep Learning Regression for Measurements with the CMS Experiment |
Equivariant Neural Networks for Dark Matter Morphology with Strong Gravitational Lensing |
Equivariant quantum neural networks for High Energy Physics Analysis at the LHC |
Expanding Strong Gravitational Lensing Simulations |
Exploring the underlying symmetries in particle physics with equivariant neural networks |
Fast Accurate Symbolic Empirical Representation Of Histograms |
Finding Exoplanets with Astronomical Observations |
Graph Neural Networks for End-to-End Particle Identification with the CMS Experiment |
Graph Neural Networks for Particle Momentum Estimation in the CMS Trigger System |
Graph Representation Learning for Fast Detector Simulation |
Graph Transformers for Fast Detector Simulation |
Gravitational Lens Finding for Dark Matter Substructure Pipeline |
Identifying the Physical Process of Planet Formation |
Implementation of Quantum Generative Adversarial Networks to Perform High Energy Physics Analysis at the LHC |
Learning Parametrization with Implicit Neural Representations |
Learning quantum representations of classical high energy physics data with contrastive learning |
Learning the Latent Structure with Diffusion Models |
Optimal Transport in High Energy Physics |
Quantum Graph Neural Networks for High Energy Physics Analysis at the LHC |
Quantum transformer for High Energy Physics Analysis at the LHC |
Search for Strong Gravitational Lenses |
Self-Supervised Learning for Strong Gravitational Lensing |
Superresolution for Strong Gravitational Lensing |
Symbolic empirical representation of squared amplitudes in high-energy physics |
Transformers for Dark Matter Morphology with Strong Gravitational Lensing |
Updating the DeepLense Pipeline |
Vision Transformers for End-to-End Particle Reconstruction for the CMS Experiment |