34 citations · 39 across the 8 of their papers we have counts for
4 papers · 1 filter
Contrastive learning in tunable dynamical systems
Menachem Stern, Adam G. Frim, Raúl Candás +2
We generalize the theory of supervised contrastive learning, previously applied to physical systems at equilibrium or steady state, to systems following any dynamics described by c…
Learning Associations in Reconfigurable Particle Packings via Local Cyclic Driving
Wenjing Guo, Vidyesh Rao Anisetti, Kairui Zhang +7
We investigate associative-memory behavior in a reconfigurable particle packing programmed by purely local cyclic driving. The system is a two-dimensional bidisperse Lennard--Jones…
Microscopic imprints of learned solutions in adaptive resistor networks
Marcel Guzman, Felipe Martins, Menachem Stern +1
In physical networks trained using supervised learning, physical parameters are adjusted to produce desired responses to inputs. An example is electrical contrastive local learning…
Physical networks become what they learn
Menachem Stern, Marcelo Guzman, Felipe Martins +2
Physical networks can develop diverse responses, or functions, by design, evolution or learning. We focus on electrical networks of nodes connected by resistive edges. Such network…