Supervised learning in physical networks: From machine learning to learning machines M Stern, D Hexner, JW Rocks, AJ Liu Physical Review X 11 (2), 021045, 2021 | 82 | 2021 |
Demonstration of decentralized physics-driven learning S Dillavou, M Stern, AJ Liu, DJ Durian Physical Review Applied 18 (1), 014040, 2022 | 67 | 2022 |
The complexity of folding self-folding origami M Stern, MB Pinson, A Murugan Physical Review X 7 (4), 041070, 2017 | 61 | 2017 |
Supervised learning through physical changes in a mechanical system M Stern, C Arinze, L Perez, SE Palmer, A Murugan Proceedings of the National Academy of Sciences 117 (26), 14843-14850, 2020 | 60 | 2020 |
Self-folding origami at any energy scale MB Pinson, M Stern, A Carruthers Ferrero, TA Witten, E Chen, A Murugan Nature communications 8 (1), 15477, 2017 | 57 | 2017 |
Learning without neurons in physical systems M Stern, A Murugan Annual Review of Condensed Matter Physics 14 (1), 417-441, 2023 | 55 | 2023 |
Shaping the topology of folding pathways in mechanical systems M Stern, V Jayaram, A Murugan Nature communications 9 (1), 4303, 2018 | 40 | 2018 |
Continual learning of multiple memories in mechanical networks M Stern, MB Pinson, A Murugan Physical Review X 10 (3), 031044, 2020 | 39 | 2020 |
Desynchronous learning in a physics-driven learning network JF Wycoff, S Dillavou, M Stern, AJ Liu, DJ Durian The Journal of Chemical Physics 156 (14), 2022 | 29 | 2022 |
Physical learning beyond the quasistatic limit M Stern, S Dillavou, MZ Miskin, DJ Durian, AJ Liu Physical Review Research 4 (2), L022037, 2022 | 25 | 2022 |
From splashing to bouncing: The influence of viscosity on the impact of suspension droplets on a solid surface MH Klein Schaarsberg, IR Peters, M Stern, K Dodge, WW Zhang, ... Physical Review E 93 (6), 062609, 2016 | 19 | 2016 |
Learning to self-fold at a bifurcation C Arinze, M Stern, SR Nagel, A Murugan Physical Review E 107 (2), 025001, 2023 | 11 | 2023 |
Experimental demonstration of coupled learning in elastic networks LE Altman, M Stern, AJ Liu, DJ Durian arXiv preprint arXiv:2311.00170, 2023 | 10 | 2023 |
Machine learning without a processor: Emergent learning in a nonlinear analog network S Dillavou, BD Beyer, M Stern, AJ Liu, MZ Miskin, DJ Durian Proceedings of the National Academy of Sciences 121 (28), e2319718121, 2024 | 8* | 2024 |
Physical effects of learning M Stern, AJ Liu, V Balasubramanian Physical Review E 109 (2), 024311, 2024 | 8 | 2024 |
Soft matter roadmap JL Barrat, E Del Gado, SU Egelhaaf, X Mao, M Dijkstra, DJ Pine, ... Journal of Physics: Materials 7 (1), 012501, 2023 | 8 | 2023 |
Circuits that train themselves: decentralized, physics-driven learning S Dillavou, B Beyer, M Stern, MZ Miskin, AJ Liu, DJ Durian AI and Optical Data Sciences IV 12438, 115-117, 2023 | 8 | 2023 |
Training self-learning circuits for power-efficient solutions M Stern, S Dillavou, D Jayaraman, DJ Durian, AJ Liu APL Machine Learning 2 (1), 2024 | 7* | 2024 |
Out of equilibrium learning dynamics in physical allosteric resistor networks M Stern, S Dillavou, MZ Miskin, DJ Durian, AJ Liu Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021), 2021 | 1 | 2021 |
Nonlinear Classification Without a Processor S Dillavou, B Beyer, M Stern, M Miskin, A Liu, D Durian Machine Learning with New Compute Paradigms, 0 | 1 | |