709 citations · 1.6k across the 19 of their papers we have counts for
19 papers
GNisi: A graph network for reconstructing Ising models from multivariate binarized data
Emma Slade, Sonya Kiselgof, Lena Granovsky +1
Ising models are a simple generative approach to describing interacting binary variables. They have proven useful in a number of biological settings because they enable one to repr…
Low rattling: A predictive principle for self-organization in active collectives
Pavel Chvykov, Thomas A. Berrueta, Akash Vardhan +6
Self-organization is frequently observed in active collectives, from ant rafts to molecular motor assemblies. General principles describing self-organization away from equilibrium…
Learning about learning by many-body systems
Weishun Zhong, Jacob M. Gold, Sarah Marzen +2
Diverse many-body systems, from soap bubbles to suspensions to polymers, learn and remember patterns in the drives that push them far from equilibrium. This learning may be leverag…
Quantifying many-body learning far from equilibrium with representation learning
Weishun Zhong, Jacob M. Gold, Sarah Marzen +2
Far-from-equilibrium many-body systems, from soap bubbles to suspensions to polymers, learn the drives that push them. This learning has been observed via thermodynamic properties,…
Self-organized novelty detection in driven spin glasses
Jacob M. Gold, Jeremy L. England
We consider a glassy system of interacting spins driven by continual switching amongst a finite set of nonuniform external fields. We find that the system evolves over time towards…
Drive-specific adaptation in disordered mechanical networks of bistable springs
Hridesh Kedia, Deng Pan, Jean-Jacques Slotine +1
Systems with many stable configurations abound in nature, both in living and inanimate matter. Their inherent nonlinearity and sensitivity to small perturbations make them challeng…