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 |