Aishik Ghosh

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 8

Top Topics

High Energy Physics

Autoregressive Model

Run Length Encoding

Inverse Problems

Top Venues

Publications

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 (2024)
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)
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 (2023)
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 (2023)
Junze Liu, Aishik Ghosh, Dylan Smith, Pierre Baldi, Daniel Whiteson
Geometry-aware Autoregressive Models for Calorimeter Shower Simulations. CoRR (2022)
Thomas Y. Chen, Biprateep Dey, Aishik Ghosh, Michael Kagan, Brian Nord, Nesar Ramachandra
Interpretable Uncertainty Quantification in AI for HEP. CoRR (2022)
Aishik Ghosh, Benjamin Nachman
A Cautionary Tale of Decorrelating Theory Uncertainties. CoRR (2021)
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)