Showing 1–16 of 16 results
/ Date/ Name
Mar 3, 2025Building Machine Learning Challenges for Anomaly Detection in ScienceJun 27, 2024Reliable edge machine learning hardware for scientific applicationsOct 19, 2023LHC Hadronic Jet Generation Using Convolutional Variational Autoencoders with Normalizing FlowsJun 7, 2023Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHCDec 14, 2022Lorentz group equivariant autoencodersDec 9, 2022FAIR AI Models in High Energy PhysicsNov 18, 2022Evaluating generative models in high energy physicsJul 19, 2022Data Science and Machine Learning in EducationJun 23, 2022Open-source FPGA-ML codesign for the MLPerf Tiny BenchmarkMar 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 FlowsAug 4, 2021A FAIR and AI-ready Higgs boson decay datasetMay 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 DevicesJul 8, 2018Machine Learning in High Energy Physics Community White Paper