1 citations · 1 across the 4 of their papers we have counts for
4 papers
Non-equilibrium active noise enhances generative memory in diffusion models
Agnish Kumar Behera, Alexandra Lamtyugina, Aditya Nandy +3
Generative diffusion models have emerged as powerful tools for sampling high-dimensional distributions, yet they typically rely on white gaussian noise and noise schedules to destr…
A correspondence between Hebbian unlearning and steady states generated by nonequilibrium dynamics
Agnish Kumar Behera, Matthew Du, Uday Jagadisan +3
The classic paradigms for learning and memory recall focus on strengths of synaptic couplings and how these can be modulated to encode memories. In a previous paper [A. K. Behera,…
Active oscillatory associative memory
Matthew Du, Agnish Kumar Behera, Suriyanarayanan Vaikuntanathan
Traditionally, physical models of associative memory assume conditions of equilibrium. Here, we consider a prototypical oscillator model of associative memory and study how active…
Enhancing associative memory recall in non-equilibrium materials through activity
Agnish Kumar Behera, Madan Rao, Srikanth Sastry +1
Associative memory, a form of content-addressable memory, facilitates information storage and retrieval in many biological and physical systems. In statistical mechanics models, as…