| A tunable loss function for robust classification: Calibration, landscape, and generalization T Sypherd, M Diaz, JK Cava, G Dasarathy, P Kairouz, L Sankar IEEE Transactions on Information Theory 68 (9), 6021-6051, 2022 | 24 | 2022 |
| The Electrostatic Landscape of MHC-Peptide Binding Revealed Using Inception Networks E Wilson, JK Cava, D Chowell, KS Anderson, A Singharoy Available at SSRN 4436851, 2023 | 2 | 2023 |
| Learning Free Energy Pathways through Reinforcement Learning of Adaptive Steered Molecular Dynamics N Ho, JK Cava, J Vant, A Shukla, J Miratsky, P Turaga, R Maciejewski, ... bioRxiv, 2022.10. 04.510845, 2022 | 1 | 2022 |
| Mind reading of the proteins: Deep-learning to forecast molecular dynamics C Gupta, JK Cava, D Sarkar, E Wilson, J Vant, S Murray, A Singharoy, ... bioRxiv, 2020.07. 28.225490, 2020 | 1 | 2020 |
| Latent Sequence Generation of Steered Molecular Dynamics JK Cava, A Shukla, JW Vant, SK Karmaker, PK Turaga, R Maciejewski, ... ICLR 2023 Workshop on Physics for Machine Learning, 2023 | | 2023 |
| AugLoss: A Learning Methodology for Real-World Dataset Corruption K Otstot, JK Cava, T Sypherd, L Sankar arXiv preprint arXiv:2206.02286, 2022 | | 2022 |
| Towards Conditional Generation of Minimal Action Potential Pathways for Molecular Dynamics JK Cava, J Vant, N Ho, A Shukla, P Turaga, R Maciejewski, A Singharoy arXiv preprint arXiv:2111.14053, 2021 | | 2021 |
| Towards Generalizable Distance Estimation By Leveraging Graph Information JK Cava, T Houghton, H Yu Proceedings of the IEEE International Conference on Computer Vision …, 2019 | | 2019 |
| WITOD: A Tool for Within-Taxon Operational Taxonomic Unit Diversity Analysis JK Cava, G Li, W Du, H Cao bioRxiv, 813444, 2019 | | 2019 |
