| Continuous learning for high-energy physics data quality monitoring |
| Deep Graph anomaly detection with contrastive learning for new physics searches |
| Deep Learning Inference for mass regression |
| Diffusion Models for Fast Detector Simulation |
| Diffusion Models for Gravitational Lensing Simulation |
| Diffusion models for Fast and accurate simulations of the low level CMS experiment data. |
| Discovering and exploiting abstract symmetry elements obtained from low-level data within the CMS experiment |
| End-to-End Deep Learning Regression for Measurements with the CMS Experiment |
| Equivariant Vision Networks for Predicting Planetary Systems’ Architectures |
| Equivariant quantum neural networks for High Energy Physics Analysis at the LHC |
| Event Classification With Masked Transformer Autoencoders |
| Evolutionary and Transformer Models for Symbolic Regression |
| Exoplanet Atmosphere Characterization |
| Expanding Strong Gravitational Lensing Simulations |
| Fast Accurate Symbolic Empirical Representation Of Histograms |
| 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 |
| Implementation of Quantum Generative Adversarial Networks to Perform High Energy Physics Analysis at the LHC |
| Learning Parametrization with Implicit Neural Representations |
| Learning Representation Through Self-Supervised Learning on Real Gravitational Lensing Images |
| Learning quantum representations of classical high energy physics data with contrastive learning |
| Learning the Latent Structure with Diffusion Models |
| Masked Auto-Encoders for Efficient End-to-End Particle Reconstruction and Compression for the CMS Experiment |
| Non-local GNNs for Jet Classification |
| Optimal Transport in High Energy Physics |
| Physics-Guided Machine Learning |
| Quantum Graph Neural Networks for High Energy Physics Analysis at the LHC |
| Quantum transformer for High Energy Physics Analysis at the LHC |
| Regression on Planetary Mass in Protoplanetary Disks |
| Search for Strong Gravitational Lenses |
| Self-Supervised Learning for End-to-End Particle Reconstruction for the CMS Experiment |
| State-space models for squared amplitude calculation in high-energy physics |
| Superresolution for Strong Gravitational Lensing |
| Transformer Models for Symbolic Calculations of Squared Amplitudes in HEP |