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Menachem Stern
Menachem Stern
Postdoctoral fellow, University of Pennsylvania
Verified email at sas.upenn.edu - Homepage
Title
Cited by
Cited by
Year
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
722021
The complexity of folding self-folding origami
M Stern, MB Pinson, A Murugan
Physical Review X 7 (4), 041070, 2017
602017
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
592020
Demonstration of decentralized physics-driven learning
S Dillavou, M Stern, AJ Liu, DJ Durian
Physical Review Applied 18 (1), 014040, 2022
572022
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
562017
Learning without neurons in physical systems
M Stern, A Murugan
Annual Review of Condensed Matter Physics 14, 417-441, 2023
452023
Continual learning of multiple memories in mechanical networks
M Stern, MB Pinson, A Murugan
Physical Review X 10 (3), 031044, 2020
392020
Shaping the topology of folding pathways in mechanical systems
M Stern, V Jayaram, A Murugan
Nature communications 9 (1), 4303, 2018
392018
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
272022
Physical learning beyond the quasistatic limit
M Stern, S Dillavou, MZ Miskin, DJ Durian, AJ Liu
Physical Review Research 4 (2), L022037, 2022
222022
From splashing to bouncing: The influence of viscosity on the impact of suspension droplets on a solid surface
MHK Schaarsberg, IR Peters, M Stern, K Dodge, WW Zhang, HM Jaeger
Physical Review E 93 (6), 062609, 2016
192016
Learning to self-fold at a bifurcation
C Arinze, M Stern, SR Nagel, A Murugan
Physical Review E 107 (2), 025001, 2023
102023
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
82023
Training self-learning circuits for power-efficient solutions
M Stern, S Dillavou, D Jayaraman, DJ Durian, AJ Liu
APL Machine Learning 2 (1), 2024
5*2024
Experimental demonstration of coupled learning in elastic networks
LE Altman, M Stern, AJ Liu, DJ Durian
arXiv preprint arXiv:2311.00170, 2023
52023
Physical effects of learning
M Stern, AJ Liu, V Balasubramanian
Physical Review E 109 (2), 024311, 2024
42024
Soft matter roadmap
JL Barrat, E Del Gado, SU Egelhaaf, X Mao, M Dijkstra, DJ Pine, ...
Journal of Physics: Materials 7 (1), 012501, 2023
42023
Machine learning without a processor: Emergent learning in a nonlinear electronic metamaterial
S Dillavou, BD Beyer, M Stern, MZ Miskin, AJ Liu, DJ Durian
arXiv preprint arXiv:2311.00537, 2023
22023
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
12021
Physical learning in dynamical systems
M Stern, A Liu, V Balasubramanian
Bulletin of the American Physical Society, 2024
2024
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Articles 1–20