| How much information is in a jet? K Datta, A Larkoski Journal of High Energy Physics 2017 (6), 1-25, 2017 | 123 | 2017 |
| LHC analysis-specific datasets with Generative Adversarial Networks B Hashemi, N Amin, K Datta, D Olivito, M Pierini arXiv preprint arXiv:1901.05282, 2019 | 94 | 2019 |
| Novel jet observables from machine learning K Datta, AJ Larkoski Journal of High Energy Physics 2018 (3), 1-18, 2018 | 77 | 2018 |
| Automating the construction of jet observables with machine learning K Datta, A Larkoski, B Nachman Physical Review D 100 (9), 095016, 2019 | 38 | 2019 |
| Unfolding with Generative Adversarial Networks K Datta, D Kar, D Roy arXiv preprint arXiv:1806.00433, 2018 | 38 | 2018 |
| Beam energy dependence of pseudorapidity distributions of charged particles produced in relativistic heavy-ion collisions S Basu, TK Nayak, K Datta Physical Review C 93 (6), 064902, 2016 | 19 | 2016 |
