39 citations · 46 across the 10 of their papers we have counts for
4 papers · 1 filter
Inference, Prediction, and Entropy-Rate Estimation of Continuous-time, Discrete-event Processes
S. E. Marzen, J. P. Crutchfield
Inferring models, predicting the future, and estimating the entropy rate of discrete-time, discrete-event processes is well-worn ground. However, a much broader class of discrete-e…
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,…
Prediction and Power in Molecular Sensors: Uncertainty and Dissipation When Conditionally Markovian Channels Are Driven by Semi-Markov Environments
Sarah E. Marzen, James P. Crutchfield
Sensors often serve at least two purposes: predicting their input and minimizing dissipated heat. However, determining whether or not a particular sensor is evolved or designed to…
Signatures of Infinity: Nonergodicity and Resource Scaling in Prediction, Complexity, and Learning
James P. Crutchfield, Sarah Marzen
We introduce a simple analysis of the structural complexity of infinite-memory processes built from random samples of stationary, ergodic finite-memory component processes. Such pr…