| Time-asymmetric fluctuation theorem and efficient free-energy estimation A Zhong, B Kuznets-Speck, MR DeWeese Physical Review E 110 (3), 034121, 2024 | | 2024 |
| Beyond Linear Response: Equivalence between Thermodynamic Geometry and Optimal Transport A Zhong, MR DeWeese Physical Review Letters 133 (5), 057102, 2024 | 2 | 2024 |
| QGASS: a gradient-free stochastic feedback control approach for arbitrary open quantum systems E Evans, A Frim, Z Wang, E Theodorou, M DeWeese Bulletin of the American Physical Society, 2024 | | 2024 |
| Early selection of task-relevant features through population gating J Barbosa, R Proville, CC Rodgers, MR DeWeese, S Ostojic, Y Boubenec Nature communications 14 (1), 6837, 2023 | 8 | 2023 |
| Shortcut engineering of active matter: run-and-tumble particles AG Frim, MR DeWeese arXiv preprint arXiv:2304.06023, 2023 | | 2023 |
| The eigenlearning framework: A conservation law perspective on kernel ridge regression and wide neural networks JB Simon, M Dickens, D Karkada, M Deweese Transactions on Machine Learning Research, 2023 | 9 | 2023 |
| Symmetries and isometries of the thermodynamic metric A Frim, M Deweese APS March Meeting Abstracts 2023, S02. 006, 2023 | | 2023 |
| Learning quantum-state feedback control with backpropagation-free stochastic optimization EN Evans, Z Wang, AG Frim, MR DeWeese, EA Theodorou Physical Review A 106 (5), 052405, 2022 | 1 | 2022 |
| Limited-control optimal protocols arbitrarily far from equilibrium A Zhong, MR DeWeese Physical Review E 106 (4), 044135, 2022 | 19 | 2022 |
| Flexible selection of task-relevant features through population gating J Barbosa, R Proville, CC Rodgers, MR DeWeese, S Ostojic, Y Boubenec bioRxiv, 2022.07. 21.500962, 2022 | 11 | 2022 |
| Reverse engineering the neural tangent kernel JB Simon, S Anand, M Deweese International Conference on Machine Learning, 20215-20231, 2022 | 12 | 2022 |
| Geometric bound on the efficiency of irreversible thermodynamic cycles AG Frim, MR DeWeese Physical Review Letters 128 (23), 230601, 2022 | 44 | 2022 |
| Optimal finite-time Brownian Carnot engine AG Frim, MR DeWeese Physical Review E 105 (5), L052103, 2022 | 26 | 2022 |
| Sparse coding models predict a spectral bias in the development of primary visual cortex (V1) receptive fields A Ligeralde, MR DeWeese bioRxiv, 2022.03. 17.484705, 2022 | | 2022 |
| Solution to the Fokker-Planck equation for slowly driven Brownian motion: Emergent geometry and a formula for the corresponding thermodynamic metric NS Wadia, RV Zarcone, MR DeWeese Physical Review E 105 (3), 034130, 2022 | 12 | 2022 |
| Hydrogel Actuated Carbon Fiber Microelectrode Array O Chen, M Maharbiz, K Pister, M DeWeese eScholarship, University of California, 2022 | | 2022 |
| Stochastic optimization for learning quantum state feedback control EN Evans, Z Wang, AG Frim, MR DeWeese, EA Theodorou arXiv preprint arXiv:2111.09896, 2021 | 2 | 2021 |
| The eigenlearning framework: A conservation law perspective on kernel regression and wide neural networks JB Simon, M Dickens, D Karkada, MR DeWeese arXiv preprint arXiv:2110.03922, 2021 | 16 | 2021 |
| Critical point-finding methods reveal gradient-flat regions of deep network losses CG Frye, J Simon, NS Wadia, A Ligeralde, MR DeWeese, KE Bouchard Neural computation 33 (6), 1469-1497, 2021 | 9 | 2021 |
| Engineered swift equilibration for arbitrary geometries AG Frim, A Zhong, SF Chen, D Mandal, MR DeWeese Physical Review E 103 (3), L030102, 2021 | 12 | 2021 |
