Aishik Ghosh | DeepAI

DeepAI

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Featured Co-authors

Pierre Baldi
46 publications
Benjamin Nachman
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Brian Nord
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Michael Kagan
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Alexander Shmakov
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Daniel Whiteson
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Thomas Y. Chen
6 publications
Nesar Ramachandra
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Michael Fenton
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Biprateep Dey
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Kevin Greif
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research

∙ 05/17/2023

End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics

High-energy collisions at the Large Hadron Collider (LHC) provide valuab...

0 Alexander Shmakov, et al. ∙

research

∙ 08/05/2022

Interpretable Uncertainty Quantification in AI for HEP

Estimating uncertainty is at the core of performing scientific measureme...

0 Thomas Y. Chen, et al. ∙

research

∙ 09/16/2021

A Cautionary Tale of Decorrelating Theory Uncertainties

A variety of techniques have been proposed to train machine learning cla...

0 Aishik Ghosh, et al. ∙