| The no free lunch theorem, kolmogorov complexity, and the role of inductive biases in machine learning M Goldblum, M Finzi, K Rowan, AG Wilson arXiv preprint arXiv:2304.05366, 2023 | 21 | 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 | 7 | 2020 |
| Higher-order propagation of chaos in for interacting diffusions E Hess-Childs, K Rowan arXiv preprint arXiv:2310.09654, 2023 | 5 | 2023 |
| 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 | 5 | 2020 |
| On anomalous diffusion in the Kraichnan model and correlated-in-time variants K Rowan arXiv preprint arXiv:2311.12147, 2023 | 2 | 2023 |
| Accelerated relaxation enhancing flows cause total dissipation K Rowan arXiv preprint arXiv:2401.15001, 2024 | 1 | 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 | 1 | 2019 |
| 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 | | |
