Sarah Marzen

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 9

Top Topics

Natural Image Patches

Draw Conclusions

Perceptual Distortion

Recurrent Networks

Top Venues

Publications

Gabriella Seifert, Ava Sealander, Sarah Marzen, Michael Levin
From reinforcement learning to agency: Frameworks for understanding basal cognition. Biosyst. 235 (2024)
Jonathan Soriano, Sarah Marzen
How Well Can We Infer Selection Benefits and Mutation Rates from Allele Frequencies? Entropy 25 (4) (2023)
Abhinuv Uppal, Vanessa Ferdinand, Sarah Marzen
Inferring an Observer's Prediction Strategy in Sequence Learning Experiments. Entropy 22 (8) (2020)
Sarah Marzen
Intrinsic Computation of a Monod-Wyman-Changeux Molecule. Entropy 20 (8) (2018)
Sarah Marzen
The difference between memory and prediction in linear recurrent networks. CoRR (2017)
Christopher J. Hillar, Sarah Marzen
Revisiting Perceptual Distortion for Natural Images: Mean Discrete Structural Similarity Index. DCC (2017)
Alireza Goudarzi, Sarah Marzen, Peter Banda, Guy Feldman, Christof Teuscher, Darko Stefanovic
Memory and Information Processing in Recurrent Neural Networks. CoRR (2016)
Ram Mehta, Sarah Marzen, Christopher J. Hillar
Exploring discrete approaches to lossy compression schemes for natural image patches. EUSIPCO (2015)
James P. Crutchfield, Sarah Marzen
Signatures of Infinity: Nonergodicity and Resource Scaling in Prediction, Complexity, and Learning. CoRR (2015)
Sarah Marzen, James P. Crutchfield
Informational and Causal Architecture of Discrete-Time Renewal Processes. CoRR (2014)
Sarah Marzen, James P. Crutchfield
Information Anatomy of Stochastic Equilibria. CoRR (2014)
Sarah Marzen, James P. Crutchfield
Information Anatomy of Stochastic Equilibria. Entropy 16 (9) (2014)
Sarah Marzen, James P. Crutchfield
Circumventing the Curse of Dimensionality in Prediction: Causal Rate-Distortion for Infinite-Order Markov Processes. CoRR (2014)
James P. Crutchfield, Ryan G. James, Sarah Marzen, Dowman P. Varn
Understanding and Designing Complex Systems: Response to "A framework for optimal high-level descriptions in science and engineering - preliminary report". CoRR (2014)