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11/01/2022
Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection
In the era of big astronomical surveys, our ability to leverage artifici...
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03/15/2022
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation
The computational cost for high energy physics detector simulation in fu...
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12/28/2021
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification
Data processing and analysis pipelines in cosmological survey experiment...
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12/06/2021
Autoencoders for Semivisible Jet Detection
The production of dark matter particles from confining dark sectors may ...
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09/09/2020
GPU-accelerated machine learning inference as a service for computing in neutrino experiments
Machine learning algorithms are becoming increasingly prevalent and perf...
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08/28/2020
Coffea – Columnar Object Framework For Effective Analysis
The coffea framework provides a new approach to High-Energy Physics anal...
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08/08/2020
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
Graph neural networks have been shown to achieve excellent performance f...
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07/20/2020
GPU coprocessors as a service for deep learning inference in high energy physics
In the next decade, the demands for computing in large scientific experi...
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03/11/2020