| Parameterized neural networks for high-energy physics P Baldi, K Cranmer, T Faucett, P Sadowski, D Whiteson The European Physical Journal C 76 (5), 1-7, 2016 | 354 | 2016 |
| Parameterized machine learning for high-energy physics P Baldi, K Cranmer, T Faucett, P Sadowski, D Whiteson arXiv preprint arXiv:1601.07913, 2016 | 52 | 2016 |
| Mapping machine-learned physics into a human-readable space T Faucett, J Thaler, D Whiteson Physical Review D 103 (3), 036020, 2021 | 47 | 2021 |
| Learning to identify electrons J Collado, JN Howard, T Faucett, T Tong, P Baldi, D Whiteson Physical Review D 103 (11), 116028, 2021 | 26 | 2021 |
| Learning to isolate muons J Collado, K Bauer, E Witkowski, T Faucett, D Whiteson, P Baldi Journal of High Energy Physics 2021 (10), 1-17, 2021 | 14 | 2021 |
| Learning to identify semi-visible jets T Faucett, SC Hsu, D Whiteson Journal of High Energy Physics 2022 (12), 1-26, 2022 | 10 | 2022 |
| Learning to Isolate Muons (2021) J Collado, K Bauer, E Witkowski, T Faucett, D Whiteson, P Baldi arXiv preprint arXiv:2102.02278, 0 | 4 | |
| Decoding Black Box Models to Find New Physics at the LHC TJ Faucett University of California, Irvine, 2021 | | 2021 |
