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Sarah Marzen
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2020 – today
- 2024
- [j9]Gabriella Seifert, Ava Sealander, Sarah Marzen, Michael Levin:
From reinforcement learning to agency: Frameworks for understanding basal cognition. Biosyst. 235: 105107 (2024) - [i19]Adam S. Shai, Sarah E. Marzen, Lucas Teixeira, Alexander Gietelink Oldenziel, Paul M. Riechers:
Transformers represent belief state geometry in their residual stream. CoRR abs/2405.15943 (2024) - 2023
- [j8]Jonathan Soriano, Sarah Marzen:
How Well Can We Infer Selection Benefits and Mutation Rates from Allele Frequencies? Entropy 25(4): 615 (2023) - [i18]Sarah E. Marzen, Paul M. Riechers, James P. Crutchfield:
Complexity-calibrated Benchmarks for Machine Learning Reveal When Next-Generation Reservoir Computer Predictions Succeed and Mislead. CoRR abs/2303.14553 (2023) - 2022
- [j7]Sarah E. Marzen, James P. Crutchfield:
Probabilistic Deterministic Finite Automata and Recurrent Networks, Revisited. Entropy 24(1): 90 (2022) - [j6]Sarah E. Marzen, James P. Crutchfield:
Inference, Prediction, & Entropy-Rate Estimation of Continuous-Time, Discrete-Event Processes. Entropy 24(11): 1675 (2022) - 2020
- [j5]Abhinuv Uppal, Vanessa Ferdinand, Sarah Marzen:
Inferring an Observer's Prediction Strategy in Sequence Learning Experiments. Entropy 22(8): 896 (2020) - [i17]Sarah E. Marzen, James P. Crutchfield:
Inference, Prediction, and Entropy-Rate Estimation of Continuous-time, Discrete-event Processes. CoRR abs/2005.03750 (2020)
2010 – 2019
- 2019
- [i16]Sarah E. Marzen, James P. Crutchfield:
Probabilistic Deterministic Finite Automata and Recurrent Networks, Revisited. CoRR abs/1910.07663 (2019) - 2018
- [j4]Sarah Marzen:
Intrinsic Computation of a Monod-Wyman-Changeux Molecule. Entropy 20(8): 599 (2018) - [i15]Sarah E. Marzen, James P. Crutchfield:
Optimized Bacteria are Environmental Prediction Engines. CoRR abs/1802.03105 (2018) - 2017
- [c2]Christopher J. Hillar, Sarah Marzen:
Revisiting Perceptual Distortion for Natural Images: Mean Discrete Structural Similarity Index. DCC 2017: 241-249 - [i14]Sarah E. Marzen, James P. Crutchfield:
Nearly Maximally Predictive Features and Their Dimensions. CoRR abs/1702.08565 (2017) - [i13]Sarah E. Marzen, James P. Crutchfield:
Structure and Randomness of Continuous-Time Discrete-Event Processes. CoRR abs/1704.04707 (2017) - [i12]Sarah Marzen:
The difference between memory and prediction in linear recurrent networks. CoRR abs/1706.09382 (2017) - [i11]Sarah E. Marzen, James P. Crutchfield:
Prediction and Power in Molecular Sensors: Uncertainty and Dissipation When Conditionally Markovian Channels Are Driven by Semi-Markov Environments. CoRR abs/1707.03962 (2017) - 2016
- [i10]Alireza Goudarzi, Sarah Marzen, Peter Banda, Guy Feldman, Christof Teuscher, Darko Stefanovic:
Memory and Information Processing in Recurrent Neural Networks. CoRR abs/1604.06929 (2016) - [i9]Sarah E. Marzen, James P. Crutchfield:
Informational and Causal Architecture of Continuous-time Renewal and Hidden Semi-Markov Processes. CoRR abs/1611.01099 (2016) - 2015
- [j3]Sarah E. Marzen, James P. Crutchfield:
Informational and Causal Architecture of Discrete-Time Renewal Processes. Entropy 17(7): 4891-4917 (2015) - [j2]James P. Crutchfield, Michael Robert DeWeese, Sarah E. Marzen:
Time resolution dependence of information measures for spiking neurons: scaling and universality. Frontiers Comput. Neurosci. 9: 105 (2015) - [c1]Ram Mehta, Sarah Marzen, Christopher J. Hillar:
Exploring discrete approaches to lossy compression schemes for natural image patches. EUSIPCO 2015: 2236-2240 - [i8]James P. Crutchfield, Sarah Marzen:
Signatures of Infinity: Nonergodicity and Resource Scaling in Prediction, Complexity, and Learning. CoRR abs/1504.00386 (2015) - [i7]Sarah E. Marzen, Michael Robert DeWeese, James P. Crutchfield:
Time Resolution Dependence of Information Measures for Spiking Neurons: Atoms, Scaling, and Universality. CoRR abs/1504.04756 (2015) - [i6]Sarah E. Marzen, Simon DeDeo:
The evolution of lossy compression. CoRR abs/1506.06138 (2015) - [i5]Sarah E. Marzen, James P. Crutchfield:
Statistical Signatures of Structural Organization: The case of long memory in renewal processes. CoRR abs/1512.01859 (2015) - 2014
- [j1]Sarah Marzen, James P. Crutchfield:
Information Anatomy of Stochastic Equilibria. Entropy 16(9): 4713-4748 (2014) - [i4]Sarah Marzen, James P. Crutchfield:
Information Anatomy of Stochastic Equilibria. CoRR abs/1403.3864 (2014) - [i3]Sarah Marzen, James P. Crutchfield:
Informational and Causal Architecture of Discrete-Time Renewal Processes. CoRR abs/1408.6876 (2014) - [i2]Sarah Marzen, James P. Crutchfield:
Circumventing the Curse of Dimensionality in Prediction: Causal Rate-Distortion for Infinite-Order Markov Processes. CoRR abs/1412.2859 (2014) - [i1]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 abs/1412.8520 (2014)
Coauthor Index
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