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Aishik Ghosh
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2020 – today
- 2024
- [j1]Aishik Ghosh, Lavanya, Vikas Hassija, Vinay Chamola, Abdulmotaleb El-Saddik:
A Survey on Decentralized Metaverse Using Blockchain and Web 3.0 Technologies, Applications, and More. IEEE Access 12: 146915-146948 (2024) - [i6]Alexander Shmakov, Kevin Greif, Michael James Fenton, Aishik Ghosh, Pierre Baldi, Daniel Whiteson:
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion. CoRR abs/2404.14332 (2024) - 2023
- [c2]Alexander Shmakov, Kevin Greif, Michael James Fenton, Aishik Ghosh, Pierre Baldi, Daniel Whiteson:
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics. NeurIPS 2023 - [i5]Alexander Shmakov, Kevin Greif, Michael James Fenton, Aishik Ghosh, Pierre Baldi, Daniel Whiteson:
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics. CoRR abs/2305.10399 (2023) - [i4]Junze Liu, Aishik Ghosh, Dylan Smith, Pierre Baldi, Daniel Whiteson:
Generalizing to new calorimeter geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation. CoRR abs/2305.11531 (2023) - 2022
- [i3]Thomas Y. Chen, Biprateep Dey, Aishik Ghosh, Michael Kagan, Brian Nord, Nesar Ramachandra:
Interpretable Uncertainty Quantification in AI for HEP. CoRR abs/2208.03284 (2022) - [i2]Junze Liu, Aishik Ghosh, Dylan Smith, Pierre Baldi, Daniel Whiteson:
Geometry-aware Autoregressive Models for Calorimeter Shower Simulations. CoRR abs/2212.08233 (2022) - 2021
- [i1]Aishik Ghosh, Benjamin Nachman:
A Cautionary Tale of Decorrelating Theory Uncertainties. CoRR abs/2109.08159 (2021)
2010 – 2019
- 2018
- [c1]Dalila Salamani, Stefan Gadatsch, Tobias Golling, Graeme Andrew Stewart, Aishik Ghosh, David Rousseau, Ahmed Hasib, Jana Schaarschmidt:
Deep Generative Models for Fast Shower Simulation in ATLAS. eScience 2018: 348
Coauthor Index
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last updated on 2024-11-07 20:36 CET by the dblp team
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