Search Results for author: Aishik Ghosh

Found 5 papers, 0 papers with code

Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion

no code implementations22 Apr 2024 Alexander Shmakov, Kevin Greif, Michael James Fenton, Aishik Ghosh, Pierre Baldi, Daniel Whiteson

The measurements performed by particle physics experiments must account for the imperfect response of the detectors used to observe the interactions.

Generalizing to new geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation

no code implementations19 May 2023 Junze Liu, Aishik Ghosh, Dylan Smith, Pierre Baldi, Daniel Whiteson

Generation of simulated detector response to collision products is crucial to data analysis in particle physics, but computationally very expensive.

Geometry-aware Autoregressive Models for Calorimeter Shower Simulations

no code implementations16 Dec 2022 Junze Liu, Aishik Ghosh, Dylan Smith, Pierre Baldi, Daniel Whiteson

Calorimeter shower simulations are often the bottleneck in simulation time for particle physics detectors.


Interpretable Uncertainty Quantification in AI for HEP

no code implementations5 Aug 2022 Thomas Y. Chen, Biprateep Dey, Aishik Ghosh, Michael Kagan, Brian Nord, Nesar Ramachandra

Estimating uncertainty is at the core of performing scientific measurements in HEP: a measurement is not useful without an estimate of its uncertainty.

Decision Making Uncertainty Quantification

A Cautionary Tale of Decorrelating Theory Uncertainties

no code implementations16 Sep 2021 Aishik Ghosh, Benjamin Nachman

A variety of techniques have been proposed to train machine learning classifiers that are independent of a given feature.

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