Publications and Preprints
[12] Isolating Unisolated Upsilons with Anomaly Detection in CMS Open Data
Rikab Gambhir, RM, Benjamin Nachman, Jesse Thaler
arXiv: hep-ph/2502.14036
[11] Constraining the Higgs Potential with Neural Simulation-based Inference for Di-Higgs Production
RM, Benjamin Nachman, Tilman Plehn
arXiv: hep-ph/2405.15847
Journal: Phys. Rev. D 110, 056004 (2024)
[10] Non-resonant Anomaly Detection with Background Extrapolation
Kehang Bai, RM, Benjamin Nachman
arXiv: hep-ph/2311.12924
Journal: JHEP Volume 2024, article number 59 (2024)
[9] Flows for Flows: Morphing one Dataset into another with Maximum Likelihood Estimation
Tobias Golling, Samuel Klein, RM, Benjamin Nachman, John Andrew Raine
arXiv: hep-ph/2309.06472
Journal: Phys. Rev. D 108, 096018 (2023)
[8] The Interplay of Machine Learning–based Resonant Anomaly Detection Methods
Tobias Golling, Gregor Kasieczka, Claudius Krause, RM, Benjamin Nachman, John Andrew Raine, Debajyoti Sengupta, David Shih, Manuel Sommerhalder
arXiv: hep-ph/2307.11157
Journal: EPJC Volume 84, article number 241 (2024)
[7] FETA: Flow-Enhanced Transportation for Anomaly Detection
Tobias Golling, Samuel Klein, RM, Benjamin Nachman
arXiv: hep-ph/2212.11285
Journal: Phys. Rev. D 107, 096025 (2023)
[6] Efficiently Moving Instead of Reweighting Collider Events with Machine Learning
RM, Benjamin Nachman
arXiv: hep-ph/2212.06155
Presented at the Machine Learning and the Physical Sciences Workshop at the 36th conference on Neural Information Processing Systems (NeurIPS)
[5] Anomaly Detection under Coordinate Transformations
Gregor Kasieczka, RM, Vinicius Mikuni, Benjamin Nachman, Mariel Pettee, David Shih
arXiv: hep-ph/2209.06225
Journal: Phys. Rev. D 107, 015009 (2023)
[4] Self-supervised Anomaly Detection for New Physics
Barry M. Dillon, RM, Benjamin Nachman
arXiv: hep-ph/2205.10380
Journal: Phys. Rev. D 106, 056005 (2022)
[3] Hunting for vampires and other unlikely forms of parity violation at the Large Hadron Collider
Christopher G. Lester, RM, Daniel Noel, Rupert Tombs
arXiv: hep-ph/2205.09876
Journal: JHEP Volume 2022, article number 231 (2022)
[2] Tracing Milky Way substructure with an RR Lyrae hierarchical clustering forest
Brian T. Cook, Deborah F. Woods, Jessica D. Ruprecht, Jacob Varey, RM, Kaylee de Soto, Jacob F. Harburg, Umaa Rebbapragada, Ashish A. Mahabal
arXiv: astro-ph/2204.05868
Journal: MNRAS, Volume 513, Issue 2 (June 2022)
[1] Exploring the Space of Jets with CMS Open Data
Patrick T. Komiske, RM, Eric M. Metodiev, Preksha Naik, Jesse Thaler
arXiv: hep-ph/1908.0854
Journal: Phys. Rev. D 101, 034009 (2020)