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Philip Harris

  1. Fast inference of deep neural networks in FPGAs for particle physics
    2018/04/16 by J. Duarte, Javier Duarte, S. Han +19 · 1 voice · 33 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Machine Learning and Data Classification #Radiation Effects in Electronics #cs.CV #hep-ex #physics.ins-det #stat.ML
  2. Applications and Techniques for Fast Machine Learning in Science
    2021/10/25 by A. M. Deiana, Allison McCarn Deiana, Nhan Viet Tran +111 · 1 voice · 4 citations
    Decision Sciences · Computer Science · #Scientific Computing and Data Management #Neural Networks and Reservoir Computing #Anomaly Detection Techniques and Applications
  3. FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing
    2019/04/18 by Javier Duarte, J. Duarte, Philip Harris +30 · 1 voice · 4 citations
    Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Particle Detector Development and Performance #Particle physics theoretical and experimental studies #hep-ex #physics.comp-ph #physics.data-an #physics.ins-det
  4. hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
    2021/03/09 by Farah Fahim, Fahim, Farah, Hawks, Benjamin +56 · 16 citations
    Computer Science · Decision Sciences · Materials Science · #FOS: Computer and information sciences #FOS: Physical sciences #Hardware Architecture (cs.AR) #Instrumentation and Detectors (physics.ins-det) #Machine Learning (cs.LG) #Machine Learning in Materials Science #Parallel Computing and Optimization Techniques #Scientific Computing and Data Management
  5. Recommendations on presenting LHC searches for missing transverse energy signals using simplified s-channel models of dark matter
    2016/03/14 by A. Boveia, Boveia, Antonio, O. L. Buchmueller +63 · 9 citations
    Physics and Astronomy · Computer Science · #Dark Matter and Cosmic Phenomena #Particle physics theoretical and experimental studies #Computational Physics and Python Applications
  6. Physics at a 100 TeV pp collider: beyond the Standard Model phenomena
    2016/06/03 by T. Golling, Golling, T., Philip Harris +192 · 6 citations
    Physics and Astronomy · #Crystallography and Radiation Phenomena #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Particle Detector Development and Performance #Particle physics theoretical and experimental studies
  7. Dark Sector Physics at High-Intensity Experiments
    2022/09/10 by Stefania Gori, M. Williams, Gori, Stefania +23 · 8 citations
    Physics and Astronomy · #Dark Matter and Cosmic Phenomena #Cosmology and Gravitation Theories #Atomic and Subatomic Physics Research
  8. A machine-learning pipeline for real-time detection of gravitational waves from compact binary coalescences
    2024/03/27 by Ethan Marx, Marx, Ethan, William Benoit +27 · 8 citations
    Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Physical sciences #General Relativity and Quantum Cosmology (gr-qc) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Pulsars and Gravitational Waves Research #Seismology and Earthquake Studies
  9. DarkQuest: A dark sector upgrade to SpinQuest at the 120 GeV Fermilab Main Injector
    2022/03/16 by A. Apyan, Brian Batell, Apyan, Aram +75 · 4 citations
    Physics and Astronomy · Computer Science · #Dark Matter and Cosmic Phenomena #Computational Physics and Python Applications #Atomic and Subatomic Physics Research
  10. Summarizing experimental sensitivities of collider experiments to dark matter models and comparison to other experiments
    2022/06/07 by A. Boveia, Boveia, Antonio, C. Doglioni +41 · 3 citations
    Physics and Astronomy · #Dark Matter and Cosmic Phenomena #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Particle Detector Development and Performance #Particle physics theoretical and experimental studies
  11. AI Agents Can Already Autonomously Perform Experimental High Energy Physics
    2026/03/20 by Eric A. Moreno, Samuel Bright-Thonney, Andrzej Novak +2 · 4 voices · 1 citation
    Physics and Astronomy · Computer Science · #hep-ex #cs.AI #cs.LG
  12. Rapid Likelihood Free Inference of Compact Binary Coalescences using Accelerated Hardware
    2024/07/26 by Deep Chatterjee, Ethan Marx, Chatterjee, Deep +27 · 5 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Physical sciences #General Relativity and Quantum Cosmology (gr-qc) #Geophysical Methods and Applications #Image and Signal Denoising Methods #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #Target Tracking and Data Fusion in Sensor Networks
  13. GWAK: Gravitational-Wave Anomalous Knowledge with Recurrent Autoencoders
    2023/09/20 by Ryan Raikman, Raikman, Ryan, Eric Moreno +23 · 2 citations
    Physics and Astronomy · #FOS: Physical sciences #Gamma-ray bursts and supernovae #General Relativity and Quantum Cosmology (gr-qc) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Pulsars and Gravitational Waves Research #Radio Astronomy Observations and Technology
  14. Knowledge Distillation for Anomaly Detection
    2023/10/09 by Adrian Alan Pol, Ekaterina Govorkova, Pol, Adrian Alan +13 · 2 citations
    Computer Science · #Advanced Malware Detection Techniques #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection
  15. Kilonova Light Curve Parameter Estimation Using Likelihood-Free Inference
    2024/08/13 by Malina Desai, Desai, Malina, Deep Chatterjee +9 · 2 citations
    Chemistry · Engineering · Physics and Astronomy · #Advanced Optical Sensing Technologies #FOS: Physical sciences #High Energy Astrophysical Phenomena (astro-ph.HE) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Optical Systems and Laser Technology #Spectroscopy and Chemometric Analyses
  16. Anomaly preserving contrastive neural embeddings for end-to-end model-independent searches at the LHC
    2025/02/21 by Kyle Metzger, Lirong Xu, Metzger, Kyle +11 · 3 citations
    Computer Science · Physics and Astronomy · #Advanced Data Storage Technologies #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High-Energy Particle Collisions Research #Particle physics theoretical and experimental studies
  17. Optimizing Likelihood-free Inference using Self-supervised Neural Symmetry Embeddings
    2023/12/11 by Deep Chatterjee, Philip Harris, Chatterjee, Deep +9 · 1 citation
    Computer Science · #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #Neural Networks and Applications #Time Series Analysis and Forecasting
  18. Product Manifold Machine Learning for Physics
    2024/12/09 by Nathaniel Woodward, Sang Eon Park, Woodward, Nathaniel S. +7 · 1 citation
    Computer Science · Decision Sciences · #Image Processing and 3D Reconstruction #Machine Learning and Data Classification #Big Data Technologies and Applications
  19. Machine Can Automatically Discover Parametric Functions to Model HEP Data
    2026/07/22 by Ho Fung Tsoi, Dylan Rankin, Cecile Caillol +5
    #hep-ex #cs.LG