1 citations · 1 across the 2 of their papers we have counts for
3 papers
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…
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…
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…