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 Systemsâ€™ 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 |