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11/02/2022
Implicit Neural Representation as a Differentiable Surrogate for Photon Propagation in a Monolithic Neutrino Detector
Optical photons are used as signal in a wide variety of particle detecto...
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09/15/2022
Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning
The rapidly-developing intersection of machine learning (ML) with high-e...
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07/19/2022
Data Science and Machine Learning in Education
The growing role of data science (DS) and machine learning (ML) in high-...
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03/23/2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
Many physical systems can be best understood as sets of discrete data wi...
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02/01/2021
Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for Particle Imaging Detectors
Recent inroads in Computer Vision (CV) and Machine Learning (ML) have mo...
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07/06/2020
Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers
Liquid Argon Time Projection Chambers (LArTPCs) are high resolution part...
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07/02/2020
Clustering of Electromagnetic Showers and Particle Interactions with Graph Neural Networks in Liquid Argon Time Projection Chambers Data
Liquid Argon Time Projection Chambers (LArTPCs) are a class of detectors...
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06/30/2020
Track Seeding and Labelling with Embedded-space Graph Neural Networks
To address the unprecedented scale of HL-LHC data, the Exa.TrkX project ...
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06/26/2020
Point Proposal Network for Reconstructing 3D Particle Positions with Sub-Pixel Precision in Liquid Argon Time Projection Chambers
Liquid Argon Time Projection Chambers (LArTPC) are particle imaging dete...
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06/03/2020
PILArNet: Public Dataset for Particle Imaging Liquid Argon Detectors in High Energy Physics
Rapid advancement of machine learning solutions has often coincided with...
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03/13/2019