| Entanglement-induced barren plateaus C Ortiz Marrero, M Kieferová, N Wiebe PRX Quantum 2 (4), 040316, 2021 | 340 | 2021 |
| COVID19 Disease Map, a computational knowledge repository of virus–host interaction mechanisms M Ostaszewski, A Niarakis, A Mazein, I Kuperstein, R Phair, ... Molecular systems biology 17 (10), e10387, 2021 | 90 | 2021 |
| Sparsifying priors for Bayesian uncertainty quantification in model discovery SM Hirsh, DA Barajas-Solano, JN Kutz Royal Society Open Science 9 (2), 211823, 2022 | 85 | 2022 |
| Machine learning screening of metal-ion battery electrode materials IA Moses, RP Joshi, B Ozdemir, N Kumar, J Eickholt, V Barone ACS Applied Materials & Interfaces 13 (45), 53355-53362, 2021 | 69 | 2021 |
| Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems J Drgoňa, K Kiš, A Tuor, D Vrabie, M Klaučo Journal of Process Control 116, 80-92, 2022 | 47 | 2022 |
| Quantum Generative Training Using R\'enyi Divergences M Kieferova, OM Carlos, N Wiebe arXiv preprint arXiv:2106.09567, 2021 | 38 | 2021 |
| Constrained neural ordinary differential equations with stability guarantees A Tuor, J Drgona, D Vrabie arXiv preprint arXiv:2004.10883, 2020 | 35 | 2020 |
| Decoding the protein–ligand interactions using parallel graph neural networks C Knutson, M Bontha, JA Bilbrey, N Kumar Scientific reports 12 (1), 7624, 2022 | 32 | 2022 |
| Accurate prediction of voltage of battery electrode materials using attention-based graph neural networks SY Louis, EMD Siriwardane, RP Joshi, SS Omee, N Kumar, J Hu ACS Applied Materials & Interfaces 14 (23), 26587-26594, 2022 | 25 | 2022 |
| Learning constrained adaptive differentiable predictive control policies with guarantees J Drgona, A Tuor, D Vrabie arXiv preprint arXiv:2004.11184, 2020 | 25 | 2020 |
| Constrained block nonlinear neural dynamical models E Skomski, S Vasisht, C Wight, A Tuor, J Drgoňa, D Vrabie 2021 American Control Conference (ACC), 3993-4000, 2021 | 20 | 2021 |
| NeuroMANCER: Neural modules with adaptive nonlinear constraints and efficient regularizations A Tuor, J Drgona, E Skomski, J Koch, Z Chen, S Dernbach, CM Legaard, ... URL https://github. com/pnnl/neuromancer, 2021 | 19 | 2021 |
| Leveraging structured biological knowledge for counterfactual inference: a case study of viral pathogenesis J Zucker, K Paneri, S Mohammad-Taheri, S Bhargava, P Kolambkar, ... IEEE Transactions on Big Data 7 (1), 25-37, 2021 | 18 | 2021 |
| Automated adversary emulation for cyber-physical systems via reinforcement learning A Bhattacharya, T Ramachandran, S Banik, CP Dowling, SD Bopardikar 2020 IEEE International Conference on Intelligence and Security Informatics …, 2020 | 16 | 2020 |
| Differentiable predictive control: An mpc alternative for unknown nonlinear systems using constrained deep learning J Drgona, K Kis, A Tuor, D Vrabie, M Klauco arXiv preprint arXiv:2011.03699 1, 2020 | 12 | 2020 |
| De novo design of protein target specific scaffold-based Inhibitors via Reinforcement Learning AD McNaughton, MS Bontha, CR Knutson, JA Pope, N Kumar arXiv preprint arXiv:2205.10473, 2022 | 9 | 2022 |
| Bundle networks: Fiber bundles, local trivializations, and a generative approach to exploring many-to-one maps N Courts, H Kvinge arXiv preprint arXiv:2110.06983, 2021 | 6 | 2021 |
| Torchntk: A library for calculation of neural tangent kernels of pytorch models A Engel, Z Wang, AD Sarwate, S Choudhury, T Chiang arXiv preprint arXiv:2205.12372, 2022 | 5 | 2022 |
| A methodology for evaluating operator usage of machine learning recommendations for power grid contingency analysis J Wenskovitch, B Jefferson, A Anderson, J Baweja, D Ciesielski, C Fallon Frontiers in big Data 5, 897295, 2022 | 3 | 2022 |
| Differentiable Predictive Control: Constrained Deep Learning Alternative to Explicit Model Predictive Control for Unknown Nonlinear Systems J Drgona, K Kiš, A Tuor, D Vrabie, M Klauco arXiv preprint arXiv:2011.03699, 2020 | 2 | 2020 |
Aaron TuorWestern Washington UniversityVerified email at pnnl.gov