| ATLAS data quality operations and performance for 2015–2018 data-taking G Aad, B Abbott, DC Abbott, A Abed Abud, K Abeling, DK Abhayasinghe, ... Journal of Instrumentation 15 (4), 2020 | 710 | 2020 |
| Search for pair and single production of vectorlike quarks in final states with at least one boson decaying into a pair of electrons or muons in collision data … M Aaboud, G Aad, B Abbott, B Abeloos, DK Abhayasinghe, SH Abidi, ... Physical Review D 98 (11), 112010, 2018 | 147 | 2018 |
| Search for single production of a vectorlike T quark decaying into a Higgs boson and top quark with fully hadronic final states using the ATLAS detector G Aad PHYSICAL REVIEW D Phys Rev D 105, 092012, 2022 | 53 | 2022 |
| Novel Interpretation Strategy for Searches of Singly Produced Vector-like Quarks at the LHC A Roy, N Nikiforou, N Castro, T Andeen Physical Review D 101 (11), 115027, 2020 | 48 | 2020 |
| Recipes for when Physics Fails: Recovering Robust Learning of Physics Informed Neural Networks C Bajaj, L McLennan, T Andeen, A Roy Machine Learning: Science and Technology 4, 015013, 2023 | 32 | 2023 |
| The Phase-I trigger readout electronics upgrade of the ATLAS Liquid Argon calorimeters G Aad, AV Akimov, K Al Khoury, M Aleksa, T Andeen, C Anelli, ... Journal of Instrumentation 17 (05), P05024, 2022 | 15 | 2022 |
| FAIR for AI: An interdisciplinary and international community building perspective EA Huerta, B Blaiszik, LC Brinson, KE Bouchard, D Diaz, C Doglioni, ... Scientific data 10 (1), 487, 2023 | 10 | 2023 |
| Non-resonant Diagrams for Single Production of Top and Bottom Partners A Roy, T Andeen Physics Letters B 833, 137330, 2022 | 10 | 2022 |
| A Detailed Study of Interpretability of Deep Neural Network based Top Taggers A Khot, MS Neubauer, A Roy Machine Learning: Science and Technology 4, 035003, 2023 | 9 | 2023 |
| Explainable AI for High Energy Physics MS Neubauer, A Roy arXiv preprint arXiv:2206.06632, 2022 | 8 | 2022 |
| FAIR AI models in high energy physics J Duarte, H Li, A Roy, R Zhu, EA Huerta, D Diaz, P Harris, R Kansal, ... Machine Learning: Science and Technology 4 (4), 045062, 2023 | 6 | 2023 |
| Data Science and Machine Learning in Education G Benelli, TY Chen, J Duarte, M Feickert, M Graham, L Gray, D Hackett, ... arXiv preprint arXiv:2207.09060, 2022 | 6 | 2022 |
| Modifications of the Page Curve from correlations within Hawking radiation M Al Alvi, M Majumdar, MA Matin, MH Rahat, A Roy Physics Letters B 797, 134881, 2019 | 4 | 2019 |
| Does Considering Quantum Correlations Resolve the Information Paradox? A Roy, MH Rahat, MA Alvi, M Matin arXiv preprint arXiv:1312.2176, 2013 | 4 | 2013 |
| Making digital objects fair in high energy physics: An implementation for universal feynrules output (ufo) models MS Neubauer, A Roy, Z Wang SciPost Physics Codebases, 013, 2023 | 3 | 2023 |
| FAIR Principles for data and AI models in high energy physics research and education A Roy arXiv preprint arXiv:2211.15021, 2022 | 2 | 2022 |
| Interpretability of an Interaction Network for identifying jets A Roy, MS Neubauer arXiv preprint arXiv:2211.12770, 2022 | 2 | 2022 |
| A novel parametric bound for information retrieval from black hole radiation A Roy, MH Rahat, M Al Alvi, M Majumdar, MA Matin 2012 7th International Conference on Electrical and Computer Engineering …, 2012 | 2 | 2012 |
| Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning C Bajaj, A Roy, H Zhang arXiv preprint arXiv:2107.11717, 2021 | 1 | 2021 |
| Tunneling across the quantum horizon does not resolve the information paradox A Roy, MH Rahat arXiv preprint arXiv:1406.3635, 2014 | 1 | 2014 |
Mark NeubauerUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
