Symbolic Density Estimation: A Decompositional Approach.

Aishik Ghosh

Angelo Rajendram Xieting Chu Vijay Ganesh 0001 Max Fieg Aishik Ghosh Symbolic Density Estimation: A Decompositional Approach. 2026 March abs/2603.27955 CoRR https://doi.org/10.48550/arXiv.2603.27955 db/journals/corr/corr2603.html#abs-2603-27955 streams/journals/corr

Wahid Bhimji Ragansu Chakkappai Po-Wen Chang Yuan-Tang Chou Sascha Diefenbacher Jordan Dudley Ibrahim Elsharkawy Steven Farrell Aishik Ghosh Cristina Giordano Isabelle Guyon Chris Harris 0004 Yota Hashizume Shih-Chieh Hsu Elham E Khoda Claudius Krause Ang Li Benjamin Nachman David Rousseau Robert Schöfbeck Maryam Shooshtari Dennis Schwarz Ihsan Ullah Daohan Wang Yulei Zhang FAIR Universe HiggsML Uncertainty Dataset and Competition. 2025 NeurIPS http://papers.nips.cc/paper_files/paper/2025/hash/76d9dd096d9469d6b7e732f0cddb51b3-Abstract-Datasets_and_Benchmarks_Track.html conf/nips/2025 db/conf/nips/neurips2025.html#BhimjiCCCDDEFGG25 Wahid Bhimji Paolo Calafiura Ragansu Chakkappai Po-Wen Chang Yuan-Tang Chou Sascha Diefenbacher Jordan Dudley Steven Farrell Aishik Ghosh Isabelle Guyon Christopher J. Harris 0004 Shih-Chieh Hsu Elham E Khoda Benjamin Nachman Peter Nugent David Rousseau Ben Thorne Ihsan Ullah Yulei Zhang FAIR Universe - HiggsML Uncertainty Challenge Public Dataset. 2025 April https://doi.org/10.5281/zenodo.15131565 Zenodo streams/repo/zenodo

Jason Benjamin Baretz Max Fieg Vijay Ganesh 0001 Aishik Ghosh V. Knapp-Perez Jake Rudolph Daniel Whiteson Towards AI-assisted Neutrino Flavor Theory Design. 2025 June abs/2506.08080 CoRR https://doi.org/10.48550/arXiv.2506.08080 db/journals/corr/corr2506.html#abs-2506-08080 streams/journals/corr

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. 146915-146948 2024 12 IEEE Access https://doi.org/10.1109/ACCESS.2024.3469193 db/journals/access/access12.html#GhoshLHCE24 streams/journals/access

Alexander Shmakov Kevin Greif Michael James Fenton Aishik Ghosh Pierre Baldi Daniel Whiteson Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion. 2024 abs/2404.14332 CoRR https://doi.org/10.48550/arXiv.2404.14332 db/journals/corr/corr2404.html#abs-2404-14332

Wahid Bhimji Paolo Calafiura Ragansu Chakkappai Yuan-Tang Chou Sascha Diefenbacher Jordan Dudley Steven Farrell Aishik Ghosh Isabelle Guyon Chris Harris 0004 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 FAIR Universe HiggsML Uncertainty Challenge Competition. 2024 abs/2410.02867 CoRR https://doi.org/10.48550/arXiv.2410.02867 db/journals/corr/corr2410.html#abs-2410-02867 streams/journals/corr

Seth Nabat Aishik Ghosh Edmund Witkowski Gregor Kasieczka Daniel Whiteson Learning Broken Symmetries with Approximate Invariance. 2024 abs/2412.18773 CoRR https://doi.org/10.48550/arXiv.2412.18773 db/journals/corr/corr2412.html#abs-2412-18773 streams/journals/corr

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. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/cd830afc6208a346e4ec5caf1b08b4b4-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#ShmakovGFGBW23

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. 2023 abs/2305.10399 CoRR https://doi.org/10.48550/arXiv.2305.10399 db/journals/corr/corr2305.html#abs-2305-10399

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. 2023 abs/2305.11531 CoRR https://doi.org/10.48550/arXiv.2305.11531 db/journals/corr/corr2305.html#abs-2305-11531

Thomas Y. Chen Biprateep Dey Aishik Ghosh Michael Kagan Brian Nord Nesar Ramachandra Interpretable Uncertainty Quantification in AI for HEP. 2022 abs/2208.03284 CoRR https://doi.org/10.48550/arXiv.2208.03284 db/journals/corr/corr2208.html#abs-2208-03284

Junze Liu Aishik Ghosh Dylan Smith Pierre Baldi Daniel Whiteson Geometry-aware Autoregressive Models for Calorimeter Shower Simulations. 2022 abs/2212.08233 CoRR https://doi.org/10.48550/arXiv.2212.08233 db/journals/corr/corr2212.html#abs-2212-08233

Aishik Ghosh Benjamin Nachman A Cautionary Tale of Decorrelating Theory Uncertainties. 2021 abs/2109.08159 CoRR https://arxiv.org/abs/2109.08159 db/journals/corr/corr2109.html#abs-2109-08159

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. 348 2018 eScience https://doi.org/10.1109/eScience.2018.00091 https://doi.ieeecomputersociety.org/10.1109/eScience.2018.00091 conf/eScience/2018 db/conf/eScience/eScience2018.html#SalamaniGGSGRHS18 Pierre Baldi Jason Benjamin Baretz Wahid Bhimji Paolo Calafiura Ragansu Chakkappai Vinay Chamola Po-Wen Chang Thomas Y. Chen Yuan-Tang Chou Xieting Chu Biprateep Dey Sascha Diefenbacher Jordan Dudley Ibrahim Elsharkawy Steven Farrell Michael James Fenton Max Fieg Stefan Gadatsch Vijay Ganesh 0001 Cristina Giordano Tobias Golling Kevin Greif Isabelle Guyon Christopher J. Harris 0004Chris Harris 0004 Yota Hashizume Ahmed Hasib Vikas Hassija Shih-Chieh Hsu Michael Kagan Gregor Kasieczka Elham E Khoda V. Knapp-Perez Claudius Krause Lavanya Ang Li Junze Liu Rémy Lyscar Alexandre Michon Seth Nabat Benjamin Nachman Brian Nord Peter Nugent Angelo Rajendram Nesar Ramachandra Mathis Reymond David Rousseau Jake Rudolph Abdulmotaleb El Saddik Dalila Salamani Jana Schaarschmidt Robert Schöfbeck Dennis Schwarz Alexander Shmakov Maryam Shooshtari Benjamin Sluijter Dylan Smith Graeme A. StewartGraeme Andrew Stewart Ben Thorne Benjamin Thorne Ihsan Ullah Daohan Wang Daniel Whiteson Edmund Witkowski Yulei Zhang