Aishik Ghosh

According to our database, Aishik Ghosh authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Rémy Lyscar, Alexandre Michon, Benjamin Nachman, Peter Nugent, Mathis Reymond, David Rousseau, Benjamin Sluijter, Benjamin Thorne, Ihsan Ullah, Yulei Zhang

CoRR, 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

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

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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Geometry-aware Autoregressive Models for Calorimeter Shower Simulations.

Junze Liu, Aishik Ghosh, Dylan Smith, Pierre Baldi, Daniel Whiteson

CoRR, 2022

Interpretable Uncertainty Quantification in AI for HEP.

Thomas Y. Chen, Biprateep Dey, Aishik Ghosh, Michael Kagan, Brian Nord, Nesar Ramachandra

CoRR, 2022

2021

A Cautionary Tale of Decorrelating Theory Uncertainties.

Aishik Ghosh, Benjamin Nachman

CoRR, 2021

2018

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

Proceedings of the 14th IEEE International Conference on e-Science, 2018