5 citations · 6 across the 6 of their papers we have counts for
4 papers · 1 filter
Tailoring interactions between active nematic defects with reinforcement learning
Carlos Floyd, Aaron R. Dinner, Suriyanarayanan Vaikuntanathan
Active nematics, formed from a liquid crystalline suspension of active force dipoles, are a paradigmatic active matter system whose study provides insights into how chemical drivin…
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…
Limits on the computational expressivity of non-equilibrium biophysical processes
Carlos Floyd, Aaron R. Dinner, Arvind Murugan +1
Many biological decision-making processes can be viewed as performing a classification task over a set of inputs, using various chemical and physical processes as "biological hardw…
Learning to control non-equilibrium dynamics using local imperfect gradients
Carlos Floyd, Aaron R. Dinner, Suriyanarayanan Vaikuntanathan
Standard approaches to controlling dynamical systems involve biologically implausible steps such as backpropagation of errors or intermediate model-based system representations. Re…