Deep Generative Models for Fast Shower Simulation in ATLAS. - Dalila Salamani; Stefan Gadatsch; Tobias Golling; Graeme Andrew Stewart; Aishik Ghosh; David Rousseau; Ahmed Hasib; Jana Schaarschmidt (eScience, 2018)

A Cautionary Tale of Decorrelating Theory Uncertainties. - Aishik Ghosh; Benjamin Nachman (CoRR, 2021)

Interpretable Uncertainty Quantification in AI for HEP. - Thomas Y. Chen; Biprateep Dey; Aishik Ghosh; Michael Kagan; Brian Nord; Nesar Ramachandra (CoRR, 2022)

Geometry-aware Autoregressive Models for Calorimeter Shower Simulations. - Junze Liu; Aishik Ghosh; Dylan Smith; Pierre Baldi; Daniel Whiteson (CoRR, 2022)

End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics. - Alexander Shmakov; Kevin Greif; Michael James Fenton; Aishik Ghosh; Pierre Baldi; Daniel Whiteson (NeurIPS, 2023)

Generalizing to new calorimeter geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation. - Junze Liu; Aishik Ghosh; Dylan Smith; Pierre Baldi; Daniel Whiteson (CoRR, 2023)

A Survey on Decentralized Metaverse Using Blockchain and Web 3.0 Technologies, Applications, and More. - Aishik Ghosh; Lavanya; Vikas Hassija; Vinay Chamola; Abdulmotaleb El-Saddik (IEEE Access, 2024)

Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion. - Alexander Shmakov; Kevin Greif; Michael James Fenton; Aishik Ghosh; Pierre Baldi; Daniel Whiteson (CoRR, 2024)

FAIR Universe HiggsML Uncertainty Challenge Competition. - Wahid Bhimji; Paolo Calafiura; Ragansu Chakkappai; Yuan-Tang Chou; Sascha Diefenbacher; Jordan Dudley; Steven Farrell; Aishik Ghosh; Isabelle Guyon; Chris Harris; Shih-Chieh Hsu; Elham E Khoda; et al. (CoRR, 2024)

Learning Broken Symmetries with Approximate Invariance. - Seth Nabat; Aishik Ghosh; Edmund Witkowski; Gregor Kasieczka; Daniel Whiteson (CoRR, 2024)

Towards AI-assisted Neutrino Flavor Theory Design. - Jason Benjamin Baretz; Max Fieg; Vijay Ganesh 001; Aishik Ghosh; V. Knapp-Perez; Jake Rudolph; Daniel Whiteson (CoRR, 2025)