| Search for bottom-type, vectorlike quark pair production in a fully hadronic final state in proton-proton collisions at s= 13 TeV AM Sirunyan, A Tumasyan, W Adam, T Bergauer, M Dragicevic, J Erö, ... Physical Review D 102 (11), 112004, 2020 | 43 | 2020 |
| Learning uncertainties the frequentist way: Calibration and correlation in high energy physics R Gambhir, B Nachman, J Thaler Physical review letters 129 (8), 082001, 2022 | 10 | 2022 |
| SHAPER: can you hear the shape of a jet? D Ba, AS Dogra, R Gambhir, A Tasissa, J Thaler Journal of High Energy Physics 2023 (6), 1-58, 2023 | 9* | 2023 |
| Bias and priors in machine learning calibrations for high energy physics R Gambhir, B Nachman, J Thaler Physical Review D 106 (3), 036011, 2022 | 6 | 2022 |
| The new physics case for beam-dump experiments with accelerated muon beams C Cesarotti, R Gambhir Journal of High Energy Physics 2024 (5), 1-38, 2024 | 2 | 2024 |
| Determining the Size of Quark and Gluon Jets in CMS Open Data X Wu, R Gambhir, J Thaler Bulletin of the American Physical Society, 2024 | | 2024 |
| Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling R Gambhir, A Osathapan, J Thaler arXiv preprint arXiv:2403.08854, 2024 | | 2024 |
| Seeing Double: Calibrating Two Jets at Once R Gambhir, B Nachman arXiv preprint arXiv:2402.14067, 2024 | | 2024 |
| Moment Pooling: Gaining Performance and Interpretability Through Physics Inspired Product Structures R Gambhir, J Thaler, A Osathapan APS April Meeting Abstracts 2023, M11. 006, 2023 | | 2023 |
| A Search for Di-Leptonic Final State Vector-Like Quark Pair Production in 13 TeV pp Collisions Using CMS Data P Pajarillo, CMS Collaboration APS April Meeting Abstracts 2021, H19. 001, 2021 | | 2021 |
