Machine learning at the energy and intensity frontiers of particle physics von Radovic, Alexander, Williams, Mike, Rousseau, David, Kagan, Michael, Bonacorsi, Daniele, Himmel, Alexander, Aurisano, Adam, Terao, Kazuhiro, Wongjirad, Taritree

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Separating double-beta decay events from solar neutrino interactions in a kiloton-scale liquid scintillator detector by fast timing von Elagin, Andrey, Frisch, Henry J., Naranjo, Brian, Ouellet, Jonathan, Winslow, Lindley, Wongjirad, Taritree

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Score-based diffusion models for generating liquid argon time projection chamber images von Imani, Zeviel, Wongjirad, Taritree, Aeron, Shuchin

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Miniature Protein Inhibitors of the p53-hDM2 Interaction von Kritzer, Joshua A, Zutshi, Reena, Cheah, Mingtatt, Ran, F. Ann, Webman, Rachel, Wongjirad, Taritree M, Schepartz, Alanna

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Boosted dark matter at neutrino experiments von Necib, Lina, Moon, Jarrett, Wongjirad, Taritree, Conrad, Janet M.

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Separating double-beta decay events from solar neutrino interactions in a kiloton-scale liquid scintillator detector by fast timing von Elagin, Andrey, Frisch, Henry J., Naranjo, Brian, Ouellet, Jonathan, Winslow, Lindley, Wongjirad, Taritree

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Score-based Diffusion Models for Generating Liquid Argon Time Projection Chamber Images von Imani, Zeviel, Aeron, Shuchin, Wongjirad, Taritree

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Towards Designing and Exploiting Generative Networks for Neutrino Physics Experiments using Liquid Argon Time Projection Chambers von Lutkus, Paul, Wongjirad, Taritree, Aeron, Shuchin

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Towards Universal Unfolding of Detector Effects in High-Energy Physics using Denoising Diffusion Probabilistic Models von Pazos, Camila, Aeron, Shuchin, Beauchemin, Pierre-Hugues, Croft, Vincent, Huan, Zhengyan, Klassen, Martin, Wongjirad, Taritree

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An Efficient, Scalable IO Framework for Sparse Data: larcv3 von Adams, Corey, Terao, Kazuhiro, Del Tutto, Marco, Wongjirad, Taritree

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PILArNet: Public Dataset for Particle Imaging Liquid Argon Detectors in High Energy Physics von Adams, Corey, Terao, Kazuhiro, Wongjirad, Taritree

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Score-based Diffusion Models for Generating Liquid Argon Time Projection Chamber Images von Zeviel Imani, Shuchin Aeron, Wongjirad, Taritree

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Towards Designing and Exploiting Generative Networks for Neutrino Physics Experiments using Liquid Argon Time Projection Chambers von Lutkus, Paul, Wongjirad, Taritree, Shuchin Aeron

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Towards Universal Unfolding of Detector Effects in High-Energy Physics using Denoising Diffusion Probabilistic Models von Pazos, Camila, Shuchin Aeron, Pierre-Hugues Beauchemin, Croft, Vincent, Huan, Zhengyan, Klassen, Martin, Wongjirad, Taritree

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An Efficient, Scalable IO Framework for Sparse Data: larcv3 von Adams, Corey, Terao, Kazuhiro, Marco Del Tutto, Wongjirad, Taritree

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PILArNet: Public Dataset for Particle Imaging Liquid Argon Detectors in High Energy Physics von Adams, Corey, Terao, Kazuhiro, Wongjirad, Taritree

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Boosted Dark Matter at Neutrino Experiments von Necib, Lina, Moon, Jarrett, Wongjirad, Taritree, Conrad, Janet M

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Separating Double-Beta Decay Events from Solar Neutrino Interactions in a Kiloton-Scale Liquid Scintillator Detector By Fast Timing von Elagin, Andrey, Frisch, Henry, Naranjo, Brian, Ouellet, Jonathan, Winslow, Lindley, Wongjirad, Taritree

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KPipe: a decisive test for muon neutrino disappearance von Axani, Spencer N, Collin, Gabriel, Conrad, Janet M, Shaevitz, Mike H, Spitz, Josh, Wongjirad, Taritree

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KPipe: a decisive test for muon neutrino disappearance von Axani, Spencer N, Collin, Gabriel, Conrad, Janet M, Shaevitz, Mike H, Spitz, Josh, Wongjirad, Taritree

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