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09/11/2023
CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation
Fast simulation of the energy depositions in high-granular detectors is ...
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05/08/2023
CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation
Simulating showers of particles in highly-granular detectors is a key fr...
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01/17/2023
EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets
With the vast data-collecting capabilities of current and future high-en...
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11/30/2022
Feature Selection with Distance Correlation
Choosing which properties of the data to use as input to multivariate de...
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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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03/15/2022
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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12/07/2021
Machine Learning in the Search for New Fundamental Physics
Machine learning plays a crucial role in enhancing and accelerating the ...
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07/06/2021
New Methods and Datasets for Group Anomaly Detection From Fundamental Physics
The identification of anomalous overdensities in data - group or collect...
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07/01/2021
Shared Data and Algorithms for Deep Learning in Fundamental Physics
We introduce a collection of datasets from fundamental physics research ...
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09/03/2020
DCTRGAN: Improving the Precision of Generative Models with Reweighting
Significant advances in deep learning have led to more widely used and p...
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08/14/2020