Sarah Marzen

Orcid: 0000-0001-5386-1101

According to our database1, Sarah Marzen authored at least 26 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
From reinforcement learning to agency: Frameworks for understanding basal cognition.
Biosyst., January, 2024

2023
How Well Can We Infer Selection Benefits and Mutation Rates from Allele Frequencies?
Entropy, April, 2023

Complexity-calibrated Benchmarks for Machine Learning Reveal When Next-Generation Reservoir Computer Predictions Succeed and Mislead.
CoRR, 2023

2022
Inference, Prediction, & Entropy-Rate Estimation of Continuous-Time, Discrete-Event Processes.
Entropy, November, 2022

Probabilistic Deterministic Finite Automata and Recurrent Networks, Revisited.
Entropy, 2022

2020
Inferring an Observer's Prediction Strategy in Sequence Learning Experiments.
Entropy, 2020

Inference, Prediction, and Entropy-Rate Estimation of Continuous-time, Discrete-event Processes.
CoRR, 2020

2018
Intrinsic Computation of a Monod-Wyman-Changeux Molecule.
Entropy, 2018

Optimized Bacteria are Environmental Prediction Engines.
CoRR, 2018

2017
Prediction and Power in Molecular Sensors: Uncertainty and Dissipation When Conditionally Markovian Channels Are Driven by Semi-Markov Environments.
CoRR, 2017

Structure and Randomness of Continuous-Time Discrete-Event Processes.
CoRR, 2017

Nearly Maximally Predictive Features and Their Dimensions.
CoRR, 2017

The difference between memory and prediction in linear recurrent networks.
CoRR, 2017

Revisiting Perceptual Distortion for Natural Images: Mean Discrete Structural Similarity Index.
Proceedings of the 2017 Data Compression Conference, 2017

2016
Informational and Causal Architecture of Continuous-time Renewal and Hidden Semi-Markov Processes.
CoRR, 2016

Memory and Information Processing in Recurrent Neural Networks.
CoRR, 2016

2015
Time resolution dependence of information measures for spiking neurons: scaling and universality.
Frontiers Comput. Neurosci., 2015

Informational and Causal Architecture of Discrete-Time Renewal Processes.
Entropy, 2015

Time Resolution Dependence of Information Measures for Spiking Neurons: Atoms, Scaling, and Universality.
CoRR, 2015

The evolution of lossy compression.
CoRR, 2015

Statistical Signatures of Structural Organization: The case of long memory in renewal processes.
CoRR, 2015

Signatures of Infinity: Nonergodicity and Resource Scaling in Prediction, Complexity, and Learning.
CoRR, 2015

Exploring discrete approaches to lossy compression schemes for natural image patches.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Information Anatomy of Stochastic Equilibria.
Entropy, 2014

Circumventing the Curse of Dimensionality in Prediction: Causal Rate-Distortion for Infinite-Order Markov Processes.
CoRR, 2014

Understanding and Designing Complex Systems: Response to "A framework for optimal high-level descriptions in science and engineering - preliminary report".
CoRR, 2014


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