| Position: The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning M Goldblum, MA Finzi, K Rowan, AG Wilson Forty-first International Conference on Machine Learning, 0 | 40* | |
| Higher-order propagation of chaos in for interacting diffusions E Hess-Childs, K Rowan arXiv preprint arXiv:2310.09654, 2023 | 11 | 2023 |
| Simulation of a hydrogen atom in a laser field using the time-dependent variational principle K Rowan, L Schatzki, T Zaklama, Y Suzuki, K Watanabe, K Varga Physical Review E 101 (2), 023313, 2020 | 9 | 2020 |
| On anomalous diffusion in the Kraichnan model and correlated-in-time variants K Rowan Archive for Rational Mechanics and Analysis 248 (5), 93, 2024 | 6 | 2024 |
| Matrix elements of one dimensional explicitly correlated Gaussian basis functions T Zaklama, D Zhang, K Rowan, L Schatzki, Y Suzuki, K Varga Few-body systems 61, 1-15, 2020 | 6 | 2020 |
| Exponential scalar mixing for the 2D Navier-Stokes equations with degenerate stochastic forcing W Cooperman, K Rowan arXiv preprint arXiv:2408.02459, 2024 | 3 | 2024 |
| Accelerated relaxation enhancing flows cause total dissipation K Rowan Nonlinearity 37 (9), 2024 | 2 | 2024 |
| Measurement and modeling of electron-cloud-induced betatron tune shifts at the Cornell Electron-Positron Storage Ring test accelerator S Poprocki, SW Buechele, JA Crittenden, K Rowan, DL Rubin, ... Physical Review Accelerators and Beams 22 (8), 081001, 2019 | 2 | 2019 |
| A universal total anomalous dissipator E Hess-Childs, K Rowan arXiv preprint arXiv:2501.18526, 2025 | | 2025 |
