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Physical Review D

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Phys. Rev. D (10)J. Inst. (4)SciPost Phys. (4)Mach. Learn.: Sci. Technol. (3)PRX Intelligence (2)Eur. Phys. J. C (1)J. High Energ. Phys. (1)Nat Mach Intell (1)Phys. Rev. Lett. (1)SciPost Phys. Core (1)

Articles Citing

Solving key challenges in collider physics with foundation models

Vinicius Mikuni ^1,* and Benjamin Nachman ^2,3,†

¹National Energy Research Scientific Computing Center, Berkeley Lab, Berkeley, California 94720, USA
²Physics Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
³Berkeley Institute for Data Science, University of California, Berkeley, California 94720, USA

^*Contact author: vmikuni@lbl.gov
^†Contact author: bpnachman@lbl.gov

Accurate and robust methods for direct background estimation in resonant anomaly detection

Ranit Das, Thorben Finke, Marie Hein, Gregor Kasieczka, Michael Krämer, Alexander Mück, and David Shih

Phys. Rev. D 111 094041 (2025)

Tools for unbinned unfolding

Ryan Milton, Vinicius Mikuni, Trevin Lee, Miguel Arratia, Tanvi Wamorkar, and Benjamin Nachman

J. Inst. 20 P05034 (2025)

OmniJet-α_C: learning point cloud calorimeter simulations using generative transformers

Joschka Birk, Frank Gaede, Anna Hallin, Gregor Kasieczka, Martina Mozzanica, and Henning Rose

J. Inst. 20 P07007 (2025)

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ISSN 2470-0029 (online), 2470-0010 (print).

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