4 papers
Local imperfect feedback control in non-equilibrium biophysical systems enabled by thermodynamic constraints
Carlos Floyd, Aaron R. Dinner, Suriyanarayanan Vaikuntanathan
How biological networks achieve robust control despite relying on imperfect, local information remains an important open question. Here, we identify thermodynamic constraints that…
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…
In-context learning emerges in chemical reaction networks without attention
Carlos Floyd, Hector Manuel Lopez Rios, Aaron R. Dinner +1
We investigate whether chemical processes can perform in-context learning (ICL), a mode of computation typically associated with transformer architectures. ICL allows a system to i…
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…