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07/27/2021
Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders
We present an application of anomaly detection techniques based on deep ...
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03/11/2021
Physics and Computing Performance of the Exa.TrkX TrackML Pipeline
The Exa.TrkX project has applied geometric learning concepts such as met...
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01/21/2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
In general-purpose particle detectors, the particle flow algorithm may b...
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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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12/14/2019
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics
Using detailed simulations of calorimeter showers as training data, we i...
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08/13/2019
Quantum adiabatic machine learning with zooming
Recent work has shown that quantum annealing for machine learning (QAML)...
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06/14/2019
hepaccelerate: Fast Analysis of Columnar Collider Data
At HEP experiments, processing terabytes of structured numerical event d...
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11/26/2018
Variational Autoencoders for New Physics Mining at the Large Hadron Collider
Using variational autoencoders trained on known physics processes, we de...
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06/29/2018
Topology classification with deep learning to improve real-time event selection at the LHC
We show how event topology classification based on deep learning could b...
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12/16/2017