James P. Crutchfield

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 71

Top Venues

CoRR

Entropy

Symmetry

Frontiers Comput. Neurosci.

Publications

Fabio Anza, James P. Crutchfield
Maximum Geometric Quantum Entropy. Entropy 26 (3) (2024)
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 (2023)
Christian Z. Pratt, Kyle J. Ray, James P. Crutchfield
Dynamical Computing on the Nanoscale: Superconducting Circuits for Thermodynamically-Efficient Classical Information Processing. CoRR (2023)
Adam Rupe, Karthik Kashinath, Nalini Kumar, James P. Crutchfield
Physics-Informed Representation Learning for Emergent Organization in Complex Dynamical Systems. CoRR (2023)
David Gier, James P. Crutchfield
Intrinsic and Measured Information in Separable Quantum Processes. CoRR (2023)
Adam T. Rupe, James P. Crutchfield
On Principles of Emergent Organization. CoRR (2023)
Sarah E. Marzen, James P. Crutchfield
Probabilistic Deterministic Finite Automata and Recurrent Networks, Revisited. Entropy 24 (1) (2022)
Adam Rupe, James P. Crutchfield
Algebraic Theory of Patterns as Generalized Symmetries. Symmetry 14 (8) (2022)
James P. Crutchfield, Alexandra M. Jurgens
Whale Casting: Remote mobile streaming humpback whale vocalizations to the world. CoRR (2022)
Kyle J. Ray, James P. Crutchfield
Gigahertz Sub-Landauer Momentum Computing. CoRR (2022)
Samuel P. Loomis, James P. Crutchfield
Exploring Predictive States via Cantor Embeddings and Wasserstein Distance. CoRR (2022)
Sarah E. Marzen, James P. Crutchfield
Inference, Prediction, & Entropy-Rate Estimation of Continuous-Time, Discrete-Event Processes. Entropy 24 (11) (2022)
David P. Feldman, James P. Crutchfield
Discovering Noncritical Organization: Statistical Mechanical, Information Theoretic, and Computational Views of Patterns in One-Dimensional Spin Systems. Entropy 24 (9) (2022)
Samuel P. Loomis, Mark Cooper, James P. Crutchfield
Nonequilibrium Thermodynamics in Measuring Carbon Footprints: Disentangling Structure and Artifact in Input-Output Accounting. CoRR (2021)
Samuel P. Loomis, James P. Crutchfield
Topology, Convergence, and Reconstruction of Predictive States. CoRR (2021)
Alexandra M. Jurgens, James P. Crutchfield
Divergent Predictive States: The Statistical Complexity Dimension of Stationary, Ergodic Hidden Markov Processes. CoRR (2021)
Fabio Anza, James P. Crutchfield
Quantum Information Dimension and Geometric Entropy. CoRR (2021)
Haochen Wu, Ryan G. James, James P. Crutchfield, Raissa M. D'Souza
Correlated structural evolution within multiplex networks. CoRR (2020)
Kyle J. Ray, James P. Crutchfield
Variations on a Demonic Theme: Szilard's Other Engines. CoRR (2020)
Gregory W. Wimsatt, Alexander B. Boyd, Paul M. Riechers, James P. Crutchfield
Refining Landauer's Stack: Balancing Error and Dissipation When Erasing Information. CoRR (2020)
Alexandra M. Jurgens, James P. Crutchfield
The Functional Thermodynamics of Finite-State Maxwellian Ratchets. CoRR (2020)
Adam Rupe, James P. Crutchfield
Spacetime Autoencoders Using Local Causal States. CoRR (2020)
Kyle J. Ray, Gregory Wimsatt, Alexander B. Boyd, James P. Crutchfield
Non-Markovian Momentum Computing: Universal and Efficient. CoRR (2020)
Alexander B. Boyd, James P. Crutchfield, Mile Gu
Thermodynamic Machine Learning through Maximum Work Production. CoRR (2020)
Samuel P. Loomis, James P. Crutchfield
Thermodynamically-Efficient Local Computation: Classical and quantum information reservoirs and generators. CoRR (2020)
Nicolas Brodu, James P. Crutchfield
Discovering Causal Structure with Reproducing-Kernel Hilbert Space ε-Machines. CoRR (2020)
Sarah E. Marzen, James P. Crutchfield
Inference, Prediction, and Entropy-Rate Estimation of Continuous-time, Discrete-event Processes. CoRR (2020)
Alexandra M. Jurgens, James P. Crutchfield
Shannon Entropy Rate of Hidden Markov Processes. CoRR (2020)
Adam Rupe, Nalini Kumar, Vladislav Epifanov, Karthik Kashinath, Oleksandr Pavlyk, Frank Schlimbach, Mostofa Patwary, Sergey Maidanov, Victor W. Lee, Prabhat, James P. Crutchfield
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems. CoRR (2019)
Sarah E. Marzen, James P. Crutchfield
Probabilistic Deterministic Finite Automata and Recurrent Networks, Revisited. CoRR (2019)
Samuel P. Loomis, James P. Crutchfield
Thermal Efficiency of Quantum Memory Compression. CoRR (2019)
Ryan G. James, Jeffrey Emenheiser, James P. Crutchfield
Unique Information and Secret Key Agreement. Entropy 21 (1) (2019)
Paul M. Riechers, James P. Crutchfield
Fraudulent White Noise: Flat power spectra belie arbitrarily complex processes. CoRR (2019)
Gregory Wimsatt, Olli-Pentti Saira, Alexander B. Boyd, Matthew H. Matheny, Siyuan Han, Michael L. Roukes, James P. Crutchfield
Harnessing Fluctuations in Thermodynamic Computing via Time-Reversal Symmetries. CoRR (2019)
Adam Rupe, Karthik Kashinath, Nalini Kumar, Victor W. Lee, Prabhat, James P. Crutchfield
Towards Unsupervised Segmentation of Extreme Weather Events. CoRR (2019)
Adam Rupe, Prabhat, James P. Crutchfield, Nalini Kumar, Vladislav Epifanov, Karthik Kashinath, Oleksandr Pavlyk, Frank Schlimbach, Mostofa Patwary, Sergey Maidanov, Victor W. Lee
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems. MLHPC@SC (2019)
Paul M. Riechers, Alexander B. Boyd, Gregory Wimsatt, James P. Crutchfield
Balancing Error and Dissipation in Highly-Reliable Computing. CoRR (2019)
Tom Conte, Erik DeBenedictis, Natesh Ganesh, Todd Hylton, John Paul Strachan, R. Stanley Williams, Alexander Alemi, Lee Altenberg, Gavin E. Crooks, James P. Crutchfield, Lídia del Rio, Josh Deutsch, Michael Robert DeWeese, Khari Douglas, Massimiliano Esposito, Michael P. Frank, Robert Fry, Peter Harsha, Mark D. Hill, Christopher T. Kello, Jeff Krichmar, Suhas Kumar, Shih-Chii Liu, Seth Lloyd, Matteo Marsili, Ilya Nemenman, Alex Nugent, Norman Packard, Dana Randall, Peter Sadowski, Narayana Santhanam, Robert Shaw, Adam Z. Stieg, Elan Stopnitzky, Christof Teuscher, Chris Watkins, David Wolpert, J. Joshua Yang, Yan Yufik
Thermodynamic Computing. CoRR (2019)
Samuel P. Loomis, James P. Crutchfield
Strong and Weak Optimizations in Classical and Quantum Models of Stochastic Processes. CoRR (2018)
Sarah E. Marzen, James P. Crutchfield
Optimized Bacteria are Environmental Prediction Engines. CoRR (2018)
Alexander B. Boyd, Ayoti Patra, C. Jarzynski, James P. Crutchfield
Shortcuts to Thermodynamic Computing: The Cost of Fast and Faithful Erasure. CoRR (2018)
Ryan G. James, Jeffrey Emenheiser, James P. Crutchfield
Unique Information and Secret Key Agreement. CoRR (2018)
Ryan G. James, Jeffrey Emenheiser, James P. Crutchfield
A Perspective on Unique Information: Directionality, Intuitions, and Secret Key Agreement. CoRR (2018)
Ryan G. James, Christopher J. Ellison, James P. Crutchfield
dit: a Python package for discrete information theory. J. Open Source Softw. 3 (25) (2018)
Ryan G. James, Blanca Daniella Mansante Ayala, Bahti Zakirov, James P. Crutchfield
Modes of Information Flow. CoRR (2018)
Adam Rupe, James P. Crutchfield
Spacetime Symmetries, Invariant Sets, and Additive Subdynamics of Cellular Automata. CoRR (2018)
Adam Rupe, James P. Crutchfield
Local Causal States and Discrete Coherent Structures. CoRR (2018)
James P. Crutchfield
The Origins of Computational Mechanics: A Brief Intellectual History and Several Clarifications. CoRR (2017)
Cina Aghamohammadi, Samuel P. Loomis, John R. Mahoney, James P. Crutchfield
Extreme Quantum Advantage for Rare-Event Sampling. CoRR (2017)
Paul M. Riechers, James P. Crutchfield
Spectral Simplicity of Apparent Complexity, Part II: Exact Complexities and Complexity Spectra. CoRR (2017)
Sarah E. Marzen, James P. Crutchfield
Structure and Randomness of Continuous-Time Discrete-Event Processes. CoRR (2017)
Ryan G. James, John R. Mahoney, James P. Crutchfield
Trimming the Independent Fat: Sufficient Statistics, Mutual Information, and Predictability from Effective Channel States. CoRR (2017)
J. Ruebeck, Ryan G. James, John R. Mahoney, James P. Crutchfield
Prediction and Generation of Binary Markov Processes: Can a Finite-State Fox Catch a Markov Mouse? CoRR (2017)
Vikram S. Vijayaraghavan, Ryan G. James, James P. Crutchfield
Anatomy of a Spin: The Information-Theoretic Structure of Classical Spin Systems. Entropy 19 (5) (2017)
Sarah E. Marzen, James P. Crutchfield
Nearly Maximally Predictive Features and Their Dimensions. CoRR (2017)
Ryan G. James, James P. Crutchfield
Multivariate Dependence beyond Shannon Information. Entropy 19 (10) (2017)
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 (2017)
Ryan G. James, Jeffrey Emenheiser, James P. Crutchfield
Unique Information via Dependency Constraints. CoRR (2017)
John R. Mahoney, Cina Aghamohammadi, James P. Crutchfield
Classical and Quantum Factors of Channels. CoRR (2017)
Alexander B. Boyd, Dibyendu Mandal, James P. Crutchfield
Above and Beyond the Landauer Bound: Thermodynamics of Modularity. CoRR (2017)
Paul M. Riechers, James P. Crutchfield
Spectral Simplicity of Apparent Complexity, Part I: The Nondiagonalizable Metadynamics of Prediction. CoRR (2017)
James P. Crutchfield, Cina Aghamohammadi
Not All Fluctuations are Created Equal: Spontaneous Variations in Thermodynamic Function. CoRR (2016)
Cina Aghamohammadi, John R. Mahoney, James P. Crutchfield
The Ambiguity of Simplicity. CoRR (2016)
Alexander B. Boyd, Dibyendu Mandal, Paul M. Riechers, James P. Crutchfield
Transient Dissipation and Structural Costs of Physical Information Transduction. CoRR (2016)
Alexander B. Boyd, Dibyendu Mandal, James P. Crutchfield
Correlation-powered Information Engines and the Thermodynamics of Self-Correction. CoRR (2016)
Cina Aghamohammadi, James P. Crutchfield
The Markov Memory for Generating Rare Events. CoRR (2016)
Ryan G. James, James P. Crutchfield
Multivariate Dependence Beyond Shannon Information. CoRR (2016)
Sarah E. Marzen, James P. Crutchfield
Informational and Causal Architecture of Continuous-time Renewal and Hidden Semi-Markov Processes. CoRR (2016)
Cina Aghamohammadi, James P. Crutchfield
Thermodynamics of Random Number Generation. CoRR (2016)
Cina Aghamohammadi, John R. Mahoney, James P. Crutchfield
Extreme Quantum Advantage when Simulating Strongly Coupled Classical Systems. CoRR (2016)
Alexander B. Boyd, Dibyendu Mandal, James P. Crutchfield
Leveraging Environmental Correlations: The Thermodynamics of Requisite Variety. CoRR (2016)
Sarah E. Marzen, Michael Robert DeWeese, James P. Crutchfield
Time Resolution Dependence of Information Measures for Spiking Neurons: Atoms, Scaling, and Universality. CoRR (2015)
Pooneh M. Ara, Ryan G. James, James P. Crutchfield
The Elusive Present: Hidden Past and Future Dependency and Why We Build Models. CoRR (2015)
Vikram S. Vijayaraghavan, Ryan G. James, James P. Crutchfield
Anatomy of a Spin: The Information-Theoretic Structure of Classical Spin Systems. CoRR (2015)
Sarah E. Marzen, James P. Crutchfield
Informational and Causal Architecture of Discrete-Time Renewal Processes. Entropy 17 (7) (2015)
John R. Mahoney, Cina Aghamohammadi, James P. Crutchfield
Occam's Quantum Strop: Synchronizing and Compressing Classical Cryptic Processes via a Quantum Channel. CoRR (2015)
Paul M. Riechers, John R. Mahoney, Cina Aghamohammadi, James P. Crutchfield
A Closed-Form Shave from Occam's Quantum Razor: Exact Results for Quantum Compression. CoRR (2015)
Sarah E. Marzen, James P. Crutchfield
Statistical Signatures of Structural Organization: The case of long memory in renewal processes. CoRR (2015)
Ryan G. James, Nix Barnett, James P. Crutchfield
Information Flows? A Critique of Transfer Entropies. CoRR (2015)
James P. Crutchfield, Sarah Marzen
Signatures of Infinity: Nonergodicity and Resource Scaling in Prediction, Complexity, and Learning. CoRR (2015)
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 (2015)
Dibyendu Mandal, Alexander B. Boyd, James P. Crutchfield
Memoryless Thermodynamics? A Reply. CoRR (2015)
Nicholas F. Travers, James P. Crutchfield
Infinite Excess Entropy Processes with Countable-State Generators. Entropy 16 (3) (2014)
Sarah Marzen, James P. Crutchfield
Informational and Causal Architecture of Discrete-Time Renewal Processes. CoRR (2014)
Virgil Griffith, Edwin K. P. Chong, Ryan G. James, Christopher J. Ellison, James P. Crutchfield
Intersection Information Based on Common Randomness. Entropy 16 (4) (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)
Paul M. Riechers, Dowman P. Varn, James P. Crutchfield
Pairwise Correlations in Layered Close-Packed Structures. CoRR (2014)
Sarah Marzen, James P. Crutchfield
Circumventing the Curse of Dimensionality in Prediction: Causal Rate-Distortion for Infinite-Order Markov Processes. CoRR (2014)
Paul M. Riechers, Dowman P. Varn, James P. Crutchfield
Diffraction Patterns of Layered Close-packed Structures from Hidden Markov Models. 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)
Nix Barnett, James P. Crutchfield
Computational Mechanics of Input-Output Processes: Structured transformations and the ε-transducer. CoRR (2014)
Dowman P. Varn, James P. Crutchfield
Chaotic Crystallography: How the physics of information reveals structural order in materials. CoRR (2014)
Ryan G. James, Korana Burke, James P. Crutchfield
Chaos Forgets and Remembers: Measuring Information Creation, Destruction, and Storage. CoRR (2013)
James P. Crutchfield, Christopher J. Ellison, Paul M. Riechers
Exact Complexity: The Spectral Decomposition of Intrinsic Computation. CoRR (2013)
Virgil Griffith, Edwin K. P. Chong, Ryan G. James, Christopher J. Ellison, James P. Crutchfield
Intersection Information based on Common Randomness. CoRR (2013)
Christopher C. Strelioff, James P. Crutchfield
Bayesian Structural Inference for Hidden Processes. CoRR (2013)
James P. Crutchfield, Sean Whalen
Structural Drift: The Population Dynamics of Sequential Learning. PLoS Comput. Biol. 8 (6) (2012)
Nicholas F. Travers, James P. Crutchfield
Infinite Excess Entropy Processes with Countable-State Generators CoRR (2011)
Nicholas F. Travers, James P. Crutchfield
Equivalence of History and Generator Epsilon-Machines CoRR (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

James P. Crutchfield