107 citations · 498 across the 13 of their papers we have counts for
3 papers · 1 filter
Learning to self-fold at a bifurcation
Chukwunonso Arinze, Menachem Stern, Sidney R. Nagel +1
Disordered mechanical systems can deform along a network of pathways that branch and recombine at special configurations called bifurcation points. Multiple pathways are accessible…
Learning without neurons in physical systems
Menachem Stern, Arvind Murugan
Learning is traditionally studied in biological or computational systems. The power of learning frameworks in solving hard inverse-problems provides an appealing case for the devel…
Desynchronous Learning in a Physics-Driven Learning Network
Jacob F Wycoff, Sam Dillavou, Menachem Stern +2
In a neuron network, synapses update individually using local information, allowing for entirely decentralized learning. In contrast, elements in an artificial neural network (ANN)…