Understanding and Designing Complex Systems: Response to "A framework for optimal high-level descriptions in science and engineering - preliminary report". - James P. Crutchfield; Ryan G. James; Sarah Marzen; Dowman P. Varn (CoRR, 2014)

Circumventing the Curse of Dimensionality in Prediction: Causal Rate-Distortion for Infinite-Order Markov Processes. - Sarah Marzen; James P. Crutchfield (CoRR, 2014)

Information Anatomy of Stochastic Equilibria. - Sarah Marzen; James P. Crutchfield (Entropy, 2014)

Exploring discrete approaches to lossy compression schemes for natural image patches. - Ram Mehta; Sarah Marzen; Christopher J. Hillar (EUSIPCO, 2015)

Signatures of Infinity: Nonergodicity and Resource Scaling in Prediction, Complexity, and Learning. - James P. Crutchfield; Sarah Marzen (CoRR, 2015)

Statistical Signatures of Structural Organization: The case of long memory in renewal processes. - Sarah E. Marzen; James P. Crutchfield (CoRR, 2015)

The evolution of lossy compression. - Sarah E. Marzen; Simon DeDeo (CoRR, 2015)

Time Resolution Dependence of Information Measures for Spiking Neurons: Atoms, Scaling, and Universality. - Sarah E. Marzen; Michael Robert DeWeese; James P. Crutchfield (CoRR, 2015)

Informational and Causal Architecture of Discrete-Time Renewal Processes. - Sarah E. Marzen; James P. Crutchfield (Entropy, 2015)

Time resolution dependence of information measures for spiking neurons: scaling and universality. - James P. Crutchfield; Michael Robert DeWeese; Sarah E. Marzen (Frontiers Comput. Neurosci., 2015)

Memory and Information Processing in Recurrent Neural Networks. - Alireza Goudarzi; Sarah Marzen; Peter Banda; Guy Feldman; Christof Teuscher; Darko Stefanovic (CoRR, 2016)

Informational and Causal Architecture of Continuous-time Renewal and Hidden Semi-Markov Processes. - Sarah E. Marzen; James P. Crutchfield (CoRR, 2016)

Revisiting Perceptual Distortion for Natural Images: Mean Discrete Structural Similarity Index. - Christopher J. Hillar; Sarah Marzen (DCC, 2017)

The difference between memory and prediction in linear recurrent networks. - Sarah Marzen (CoRR, 2017)

Nearly Maximally Predictive Features and Their Dimensions. - Sarah E. Marzen; James P. Crutchfield (CoRR, 2017)

Structure and Randomness of Continuous-Time Discrete-Event Processes. - Sarah E. Marzen; James P. Crutchfield (CoRR, 2017)

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 (CoRR, 2017)

Optimized Bacteria are Environmental Prediction Engines. - Sarah E. Marzen; James P. Crutchfield (CoRR, 2018)

Intrinsic Computation of a Monod-Wyman-Changeux Molecule. - Sarah Marzen (Entropy, 2018)

Inference, Prediction, and Entropy-Rate Estimation of Continuous-time, Discrete-event Processes. - Sarah E. Marzen; James P. Crutchfield (CoRR, 2020)

Inferring an Observer's Prediction Strategy in Sequence Learning Experiments. - Abhinuv Uppal; Vanessa Ferdinand; Sarah Marzen (Entropy, 2020)

Probabilistic Deterministic Finite Automata and Recurrent Networks, Revisited. - Sarah E. Marzen; James P. Crutchfield (Entropy, 2022)

Inference, Prediction, & Entropy-Rate Estimation of Continuous-Time, Discrete-Event Processes. - Sarah E. Marzen; James P. Crutchfield (Entropy, 2022)

Complexity-calibrated Benchmarks for Machine Learning Reveal When Next-Generation Reservoir Computer Predictions Succeed and Mislead. - Sarah E. Marzen; Paul M. Riechers; James P. Crutchfield (CoRR, 2023)

How Well Can We Infer Selection Benefits and Mutation Rates from Allele Frequencies? - Jonathan Soriano; Sarah Marzen (Entropy, 2023)

Transformers Represent Belief State Geometry in their Residual Stream. - Adam S. Shai; Lucas Teixeira; Alexander Gietelink Oldenziel; Sarah Marzen; Paul M. Riechers (NeurIPS, 2024)

From reinforcement learning to agency: Frameworks for understanding basal cognition. - Gabriella Seifert; Ava Sealander; Sarah Marzen; Michael Levin 001 (Biosyst., 2024)