Exploring the space of jets with CMS open data PT Komiske, R Mastandrea, EM Metodiev, P Naik, J Thaler Physical Review D 101 (3), 034009, 2020 | 50 | 2020 |
Self-supervised Anomaly Detection for New Physics BM Dillon, R Mastandrea, B Nachman Phys. Rev. D 105 (5), 056005, 2022 | 26 | 2022 |
Flow-enhanced transportation for anomaly detection T Golling, S Klein, R Mastandrea, B Nachman Physical Review D 107 (9), 096025, 2023 | 19 | 2023 |
Anomaly detection under coordinate transformations G Kasieczka, R Mastandrea, V Mikuni, B Nachman, M Pettee, D Shih Physical Review D 107 (1), 015009, 2023 | 16 | 2023 |
The interplay of machine learning-based resonant anomaly detection methods T Golling, G Kasieczka, C Krause, R Mastandrea, B Nachman, JA Raine, ... The European Physical Journal C 84 (3), 241, 2024 | 6 | 2024 |
Efficiently Moving Instead of Reweighting Collider Events with Machine Learning R Mastandrea, B Nachman arXiv preprint arXiv:2212.06155, 2022 | 6 | 2022 |
Flows for Flows: Morphing one Dataset into another with Maximum Likelihood Estimation T Golling, S Klein, R Mastandrea, B Nachman, JA Raine arXiv preprint arXiv:2309.06472, 2023 | 3 | 2023 |
Morphing one dataset into another with maximum likelihood estimation T Golling, S Klein, R Mastandrea, B Nachman, JA Raine Physical Review D 108 (9), 096018, 2023 | 2 | 2023 |
Hunting for vampires and other unlikely forms of parity violation at the Large Hadron Collider CG Lester, R Mastandrea, D Noel, R Tombs Journal of High Energy Physics 2022 (8), 1-26, 2022 | 2 | 2022 |
Tracing Milky Way substructure with an RR Lyrae hierarchical clustering forest BT Cook, DF Woods, JD Ruprecht, J Varey, R Mastandrea, K de Soto, ... Monthly Notices of the Royal Astronomical Society 513 (2), 2509-2521, 2022 | 2 | 2022 |
Non-resonant Anomaly Detection with Background Extrapolation K Bai, R Mastandrea, B Nachman arXiv preprint arXiv:2311.12924, 2023 | | 2023 |
FETA: Flow-Enhanced Transportation for Anomaly Detection R Mastandrea, B Nachman, S Klein, T Golling APS April Meeting Abstracts 2023, N11. 001, 2023 | | 2023 |
FETA: Flow-Enhanced Transportation for Anomaly Detection T Golling, S Klein, R Mastandrea, B Nachman arXiv preprint arXiv:2212.11285, 2022 | | 2022 |
Using symmetries and transformers to build better latent spaces for di-jet representation learning R Mastandrea, B Nachman, B Dillon APS April Meeting Abstracts 2022, K08. 005, 2022 | | 2022 |
Analyzing CMS open collider data through topic modeling R Mastandrea Massachusetts Institute of Technology, 2019 | | 2019 |
Metric Methods with Open Collider Data EM Metodiev, PT Komiske, R Mastandrea, P Naik, J Thaler | | |