Showing 1–20 of 61 results
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Feb 24, 2026Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)Oct 6, 2018Supporting High-Performance and High-Throughput Computing for Experimental ScienceDec 1, 2025hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable HardwareDec 3, 2021Graph Neural Networks for Charged Particle Tracking on FPGAsMar 30, 2021Charged particle tracking via edge-classifying interaction networksNov 21, 2022Deep Learning for the Matrix Element MethodMar 30, 2022Physics Community Needs, Tools, and Resources for Machine LearningDec 18, 2017Strategic Plan for a Scientific Software Innovation Institute (S2I2) for High Energy PhysicsJun 13, 2023Applications of Deep Learning to physics workflowsMar 30, 2010Tests of the Standard Electroweak Model at the Energy FrontierSep 30, 2022FAIR for AI: An interdisciplinary and international community building perspectiveOct 9, 2022A Detailed Study of Interpretability of Deep Neural Network based Top TaggersOct 25, 2021Applications and Techniques for Fast Machine Learning in ScienceOct 8, 2025In-pixel integration of signal processing and AI/ML based data filtering for particle tracking detectorsSep 10, 2021Publishing statistical models: Getting the most out of particle physics experimentsJun 20, 2023Low Latency Edge Classification GNN for Particle Trajectory Tracking on FPGAsJun 30, 2021Learning from the Pandemic: the Future of Meetings in HEP and BeyondOct 3, 2023Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learningJan 10, 2025Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural NetworksSep 20, 2022Making Digital Objects FAIR in High Energy Physics: An Implementation for Universal FeynRules Output (UFO) Models