Showing 1–20 of 104 results
/ Date/ Name
Apr 23, 2026The CriticalSet problem: Identifying Critical Contributors in Bipartite Dependency NetworksApr 23, 2026Assessing Emulator Design and Training for Modal Aerosol Microphysics Parameterizations in E3SMv2Apr 15, 2026Physics-driven Comparative Analysis of Various Statistical Distance Metrics and Normalizing FunctionsMar 30, 2026The Closure Challenge: a benchmark task for machine learning in turbulence modellingJan 28, 2026Trigger Optimization and Event Classification for Dark Matter Searches in the CYGNO Experiment Using Machine LearningDec 30, 2025Fast reconstruction-based ROI triggering via anomaly detection in the CYGNO optical TPCNov 12, 2025The Data Fusion Labeler (dFL): Challenges and Solutions to Data Harmonization, Labeling, and Provenance in Fusion EnergyOct 8, 2025Fisher Information, Training and Bias in Fourier Regression ModelsJul 31, 2025Simulation-based inference for Precision Neutrino Physics through Neural Monte Carlo tuningMay 19, 2025Sensitivity to New Physics Phenomena in Anomaly Detection: A Study of Untunable HyperparametersApr 22, 2025Shannon invariants: A scalable approach to information decompositionMar 31, 2025DUNE Software and Computing Research and DevelopmentMar 16, 2025LArTPC hit-based topology classification with quantum machine learning and symmetryJan 28, 2025Object Detection with Deep Learning for Rare Event Search in the GADGET II TPCNov 21, 2024An accurate solar axions ray-tracing response of BabyIAXOOct 14, 2024Characterising high-order interdependence via entropic conjugationJul 3, 2024Exotic and physics-informed support vector machines for high energy physicsJun 17, 2024Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity CalorimeterJun 17, 2024Optimal Low-Depth Quantum Signal-Processing Phase EstimationApr 5, 2024Sparks in the Dark