Shuchin Aeron on Muck Rack

Shuchin Aeron

As seen in: Wiley Online Library, Physical Review B
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Articles

Computer Science > Machine Learning

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By Brown III, Shuchin Aeron, D. Richard Brown III
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Score-based diffusion models for generating liquid argon time projection chamber images

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By Shuchin Aeron, Massachusetts USA, Zeviel Imani, Taritree Wongjirad
| Physical Review B
For the first time, we show high-fidelity generation of Liquid Argon Time Projection Chamber (LArTPC-like) data using a generative neural network. This demonstrates that methods developed for natural images do transfer to LArTPC-produced images, which, in contrast to natural images, are globally sparse but locally dense. We present the score-based diffusion method employed.
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Hard-Negative Sampling for Contrastive Learning: Optimal Representation Geometry and Neural- vs Dimensional-Collapse

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By Thuan Nguyen, Shuchin Aeron, Prakash Ishwar
| arxiv.org
[Submitted on 9 Nov 2023 ( v1 ), last revised 7 May 2025 (this version, v3)] Title:Hard-Negative Sampling for Contrastive Learning: Optimal Representation Geometry and Neural- vs Dimensional-Collapse View a PDF of the paper titled Hard-Negative Sampling for Contrastive Learning: Optimal Representation Geometry and Neural- vs Dimensional-Collapse, by Ruijie Jiang and 3 other authors View PDF HTML (experimental) Abstract:For a widely-studied data model and general loss and sample-hardening...
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