| Long-term forecasting with tide: Time-series dense encoder A Das, W Kong, A Leach, S Mathur, R Sen, R Yu arXiv preprint arXiv:2304.08424, 2023 | 67 | 2023 |
| Meta-learning initializations for image segmentation SM Hendryx, AB Leach, PD Hein, CT Morrison arXiv preprint arXiv:1912.06290, 2019 | 24 | 2019 |
| Guarding a set of line segments in the plane VE Brimkov, A Leach, M Mastroianni, J Wu Theoretical Computer Science 412 (15), 1313-1324, 2011 | 21 | 2011 |
| Approximation algorithms for a geometric set cover problem VE Brimkov, A Leach, J Wu, M Mastroianni Discrete Applied Mathematics 160 (7-8), 1039-1052, 2012 | 18 | 2012 |
| 3d conditional generative adversarial networks to enable large-scale seismic image enhancement P Dutta, B Power, A Halpert, C Ezequiel, A Subramanian, C Chatterjee, ... arXiv preprint arXiv:1911.06932, 2019 | 11 | 2019 |
| Monte Carlo methods for stochastic differential equations and their applications A Leach The University of Arizona, 2017 | 2 | 2017 |
| Symmetrized importance samplers for stochastic differential equations A Leach, K Lin, M Morzfeld Communications in Applied Mathematics and Computational Science 13 (2), 215-241, 2018 | | 2018 |
| Symmetrized Importance Samplers for Uncertainty Quantification and Data Assimilation A Leach, KK Lin, M Morzfeld AGU Fall Meeting Abstracts 2016, NG33A-1857, 2016 | | 2016 |
