| Automatic recognition and tagging of topologically different regimes in dynamical systems J Berwald, M Gidea, M Vejdemo-Johansson arXiv preprint arXiv:1312.2482, 2013 | 51 | 2013 |
| The logic of Simpson’s paradox PS Bandyoapdhyay, D Nelson, M Greenwood, G Brittan, J Berwald Synthese 181, 185-208, 2011 | 40 | 2011 |
| Critical transitions in a model of a genetic regulatory system J Berwald, M Gidea arXiv preprint arXiv:1309.7919, 2013 | 33 | 2013 |
| Computing Wasserstein distance for persistence diagrams on a quantum computer JJ Berwald, JM Gottlieb, E Munch arXiv preprint arXiv:1809.06433, 2018 | 30 | 2018 |
| Understanding domain-wall encoding theoretically and experimentally J Berwald, N Chancellor, R Dridi Philosophical Transactions of the Royal Society A 381 (2241), 20210410, 2023 | 20 | 2023 |
| Nonglobal parameter estimation using local ensemble Kalman filtering T Bellsky, J Berwald, L Mitchell Monthly Weather Review 142 (6), 2150-2164, 2014 | 18 | 2014 |
| Using machine learning to predict catastrophes in dynamical systems J Berwald, T Gedeon, J Sheppard Journal of Computational and Applied Mathematics 236 (9), 2235-2245, 2012 | 10 | 2012 |
| Qci qbsolv delivers strong classical performance for quantum-ready formulation M Booth, J Berwald, U Chukwu, J Dawson, R Dridi, DY Le, M Wainger, ... arXiv preprint arXiv:2005.11294, 2020 | 8 | 2020 |
| Constrained-optimization approach delivers superior classical performance for graph partitioning via quantum-ready method U Chukwu, R Dridi, J Berwald, M Booth, J Dawson, DY Le, M Wainger, ... 2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2020 | 7 | 2020 |
| The mathematics of quantum-enabled applications on the D-wave quantum computer J Berwald Notices Am. Math. Soc 66, 832-841, 2019 | 7 | 2019 |
| Predicting high-codimension critical transitions in dynamical systems using active learning K Spendlove, J Berwald, T Gedeon Mathematical and Computer Modelling of Dynamical Systems 19 (6), 557-574, 2013 | 2 | 2013 |
| Grover Speedup from Many Forms of the Zeno Effect J Berwald, N Chancellor, R Dridi arXiv preprint arXiv:2305.11146, 2023 | 1 | 2023 |
| Quantum Natural Gradient with Efficient Backtracking Line Search TA Atif, U Chukwu, J Berwald, R Dridi arXiv preprint arXiv:2211.00615, 2022 | 1 | 2022 |
| Machine learning mapping for quantum processing units R Dridi, U Chukwu, J Berwald US Patent 11,436,519, 2022 | 1 | 2022 |
| Modeling Complexity of Physiological Time Series In-Silico J Berwald, T Gedeon, K Mischaikow International Conference on Bio-inspired Systems and Signal Processing 2, 61-67, 2010 | 1 | 2010 |
| Zeno-effect Computation: Opportunities and Challenges J Berwald, N Chancellor, R Dridi arXiv preprint arXiv:2311.08432, 2023 | | 2023 |
| Machine learning mapping for quantum processing units R Dridi, U Chukwu, J Berwald US Patent App. 17/810,198, 2023 | | 2023 |
| Accelerating NISQ variational methods using geometry TA Atif, U Chukwu, J Berwald, R Dridi Quantum Computing, Communication, and Simulation III 12446, 31-40, 2023 | | 2023 |
| Image Anomaly Detection with Neural Networks R Churchley, O Olumoye, P Patel, J Smith, P Williams, R Yang, J Berwald, ... | | 2015 |
| Non-global parameter estimation using local ensemble Kalman T Bellsky, J Berwald, L Mitchell | | 2014 |
