Showing 1–20 of 132 results
/ Date/ Name
Jul 19, 2018Prospects for a measurement of the $W$ boson mass in the all-jets final state at hadron collidersJun 15, 2022QONNX: Representing Arbitrary-Precision Quantized Neural NetworksJun 7, 2023Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHCFeb 15, 2016Numerical solution of many-body wave scattering problem and creating materials with a desired refraction coefficientMar 8, 2022Physics Opportunities for the Fermilab Booster ReplacementJan 24, 2025End-to-end workflow for machine learning-based qubit readout with QICK and hls4mlApr 9, 2018M$^3$: A New Muon Missing Momentum Experiment to Probe $(g-2)_μ$ and Dark Matter at FermilabNov 30, 2023Low latency optical-based mode tracking with machine learning deployed on FPGAs on a tokamakOct 25, 2021Applications and Techniques for Fast Machine Learning in ScienceJan 11, 2023Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data ProcessingAug 15, 2018Light Dark Matter eXperiment (LDMX)Apr 18, 2019FPGA-accelerated machine learning inference as a service for particle physics computingMay 4, 2016Dissecting Jets and Missing Energy Searches Using $n$-body Extended Simplified ModelsApr 27, 2022Smart sensors using artificial intelligence for on-detector electronics and ASICsOct 3, 2023Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learningFeb 29, 2016Thinking outside the ROCs: Designing Decorrelated Taggers (DDT) for jet substructureFeb 15, 2016Numerical method for solving electromagnetic wave scattering by one and many small perfectly conducting bodiesFeb 15, 2016A Fast Algorithm for Solving Scalar Wave Scattering Problem by Billions of ParticlesNov 14, 2020Real-time Artificial Intelligence for Accelerator Control: A Study at the Fermilab BoosterSep 25, 2017The importance of calorimetry for highly-boosted jet substructure