Showing 1–15 of 15 results
/ Date/ Name
May 30, 2025Tensor Network for Anomaly Detection in the Latent Space of Proton Collision Events at the LHCOct 19, 2023LHC Hadronic Jet Generation Using Convolutional Variational Autoencoders with Normalizing FlowsOct 9, 2023Knowledge Distillation for Anomaly DetectionJun 22, 2023Triggering Dark Showers with Conditional Dual Auto-EncodersJun 7, 2023Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHCMar 9, 2023Automated visual inspection of CMS HGCAL silicon sensor surface using an ensemble of a deep convolutional autoencoder and classifierNov 18, 2022Evaluating generative models in high energy physicsApr 4, 2022End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networksMar 2, 2022GNN-based end-to-end reconstruction in the CMS Phase 2 High-Granularity CalorimeterMar 1, 2022Particle-based Fast Jet Simulation at the LHC with Variational AutoencodersOct 25, 2021Applications and Techniques for Fast Machine Learning in ScienceOct 16, 2021Improving Variational Autoencoders for New Physics Detection at the LHC with Normalizing FlowsSep 10, 2021Publishing statistical models: Getting the most out of particle physics experimentsMay 4, 2021A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHCMar 9, 2021hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices