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12/09/2022
FAIR AI Models in High Energy Physics
The findable, accessible, interoperable, and reusable (FAIR) data princi...
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11/23/2022
Interpretability of an Interaction Network for identifying H → bb̅ jets
Multivariate techniques and machine learning models have found numerous ...
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10/09/2022
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers
Recent developments in the methods of explainable AI (xAI) methods allow...
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09/30/2022
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective
A foundational set of findable, accessible, interoperable, and reusable ...
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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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06/14/2022
Explainable AI for High Energy Physics
Neural Networks are ubiquitous in high energy physics research. However,...
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10/26/2021
Robust Learning of Physics Informed Neural Networks
Physics-informed Neural Networks (PINNs) have been shown to be effective...
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07/25/2021
