James P. Crutchfield

According to our database1, James P. Crutchfield authored at least 104 papers between 1985 and 2020.

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Bibliography

2020
Thermodynamically-Efficient Local Computation: Classical and quantum information reservoirs and generators.
CoRR, 2020

2019
Unique Information and Secret Key Agreement.
Entropy, 2019

Thermodynamic Computing.
CoRR, 2019

Thermal Efficiency of Quantum Memory Compression.
CoRR, 2019

Probabilistic Deterministic Finite Automata and Recurrent Networks, Revisited.
CoRR, 2019

Towards Unsupervised Segmentation of Extreme Weather Events.
CoRR, 2019

Balancing Error and Dissipation in Highly-Reliable Computing.
CoRR, 2019

Fraudulent White Noise: Flat power spectra belie arbitrarily complex processes.
CoRR, 2019

Harnessing Fluctuations in Thermodynamic Computing via Time-Reversal Symmetries.
CoRR, 2019

DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems.
Proceedings of the 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2019

2018
dit: a Python package for discrete information theory.
J. Open Source Software, 2018

Spacetime Symmetries, Invariant Sets, and Additive Subdynamics of Cellular Automata.
CoRR, 2018

Shortcuts to Thermodynamic Computing: The Cost of Fast and Faithful Erasure.
CoRR, 2018

Strong and Weak Optimizations in Classical and Quantum Models of Stochastic Processes.
CoRR, 2018

A Perspective on Unique Information: Directionality, Intuitions, and Secret Key Agreement.
CoRR, 2018

Modes of Information Flow.
CoRR, 2018

Optimized Bacteria are Environmental Prediction Engines.
CoRR, 2018

Local Causal States and Discrete Coherent Structures.
CoRR, 2018

2017
Anatomy of a Spin: The Information-Theoretic Structure of Classical Spin Systems.
Entropy, 2017

Multivariate Dependence beyond Shannon Information.
Entropy, 2017

The Origins of Computational Mechanics: A Brief Intellectual History and Several Clarifications.
CoRR, 2017

Classical and Quantum Factors of Channels.
CoRR, 2017

Unique Information via Dependency Constraints.
CoRR, 2017

Above and Beyond the Landauer Bound: Thermodynamics of Modularity.
CoRR, 2017

Prediction and Generation of Binary Markov Processes: Can a Finite-State Fox Catch a Markov Mouse?
CoRR, 2017

Spectral Simplicity of Apparent Complexity, Part II: Exact Complexities and Complexity Spectra.
CoRR, 2017

Spectral Simplicity of Apparent Complexity, Part I: The Nondiagonalizable Metadynamics of Prediction.
CoRR, 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

Trimming the Independent Fat: Sufficient Statistics, Mutual Information, and Predictability from Effective Channel States.
CoRR, 2017

Extreme Quantum Advantage for Rare-Event Sampling.
CoRR, 2017

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

Not All Fluctuations are Created Equal: Spontaneous Variations in Thermodynamic Function.
CoRR, 2016

Transient Dissipation and Structural Costs of Physical Information Transduction.
CoRR, 2016

Leveraging Environmental Correlations: The Thermodynamics of Requisite Variety.
CoRR, 2016

Correlation-powered Information Engines and the Thermodynamics of Self-Correction.
CoRR, 2016

Extreme Quantum Advantage when Simulating Strongly Coupled Classical Systems.
CoRR, 2016

The Ambiguity of Simplicity.
CoRR, 2016

Thermodynamics of Random Number Generation.
CoRR, 2016

The Markov Memory for Generating Rare Events.
CoRR, 2016

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

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

A Closed-Form Shave from Occam's Quantum Razor: Exact Results for Quantum Compression.
CoRR, 2015

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

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

Memoryless Thermodynamics? A Reply.
CoRR, 2015

Occam's Quantum Strop: Synchronizing and Compressing Classical Cryptic Processes via a Quantum Channel.
CoRR, 2015

Information Flows? A Critique of Transfer Entropies.
CoRR, 2015

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

The Elusive Present: Hidden Past and Future Dependency and Why We Build Models.
CoRR, 2015

2014
Infinite Excess Entropy Processes with Countable-State Generators.
Entropy, 2014

Information Anatomy of Stochastic Equilibria.
Entropy, 2014

Intersection Information Based on Common Randomness.
Entropy, 2014

Chaotic Crystallography: How the physics of information reveals structural order in materials.
CoRR, 2014

Diffraction Patterns of Layered Close-packed Structures from Hidden Markov Models.
CoRR, 2014

Pairwise Correlations in Layered Close-Packed Structures.
CoRR, 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

Computational Mechanics of Input-Output Processes: Structured transformations and the ε-transducer.
CoRR, 2014

2013
Bayesian Structural Inference for Hidden Processes.
CoRR, 2013

Chaos Forgets and Remembers: Measuring Information Creation, Destruction, and Storage.
CoRR, 2013

Exact Complexity: The Spectral Decomposition of Intrinsic Computation.
CoRR, 2013

2012
Structural Drift: The Population Dynamics of Sequential Learning.
PLoS Computational Biology, 2012

2011
Equivalence of History and Generator Epsilon-Machines
CoRR, 2011

How Hidden are Hidden Processes? A Primer on Crypticity and Entropy Convergence
CoRR, 2011

Information Symmetries in Irreversible Processes
CoRR, 2011

Anatomy of a Bit: Information in a Time Series Observation
CoRR, 2011

2010
Computation in Sofic Quantum Dynamical Systems.
Natural Computing, 2010

The Past and the Future in the Present
CoRR, 2010

Asymptotic Synchronization for Finite-State Sources
CoRR, 2010

Enumerating Finitary Processes
CoRR, 2010

Many Roads to Synchrony: Natural Time Scales and Their Algorithms
CoRR, 2010

Exact Synchronization for Finite-State Sources
CoRR, 2010

Synchronization and Control in Intrinsic and Designed Computation: An Information-Theoretic Analysis of Competing Models of Stochastic Computation
CoRR, 2010

Order and disorder in open systems.
Complexity, 2010

Hidden Markov Models for Automated Protocol Learning.
Proceedings of the Security and Privacy in Communication Networks, 2010

2009
Prediction, Retrodiction, and The Amount of Information Stored in the Present
CoRR, 2009

Computational Mechanics: Natural Computation and Self-organization.
Proceedings of the Unconventional Computation, 8th International Conference, 2009

2008
Language Diversity of Measured Quantum Processes.
IJUC, 2008

Hierarchical Self-Organization in the Finitary Process Soup.
Artificial Life, 2008

2007
Optimal Causal Inference
CoRR, 2007

Structure or Noise?
CoRR, 2007

2006
Automated pattern detection - An algorithm for constructing optimally synchronizing multi-regular language filters.
Theor. Comput. Sci., 2006

How Random is a Coin Toss? Bayesian Inference and the Symbolic Dynamics of Deterministic Chaos
CoRR, 2006

2004
Synchronizing to Periodicity: the Transient Information and Synchronization Time of Periodic Sequences.
Advances in Complex Systems, 2004

2002
An Algorithm for Pattern Discovery in Time Series
CoRR, 2002

Information Bottlenecks, Causal States, and Statistical Relevance Bases: How to Represent Relevant Information in memoryless transduction.
Advances in Complex Systems, 2002

Evolving One Dimensional Cellular Automata to Perform Non-trivial Collective Behavior Task: One Case Study.
Proceedings of the Computational Science - ICCS 2002, 2002

2001
Evolving two-dimensional cellular automata to perform density classification: A report on work in progress.
Parallel Comput., 2001

Optimizing Epochal Evolutionary Search: Population-Size Dependent Theory.
Machine Learning, 2001

Synchronizing to the Environment: Information-Theoretic Constraints on Agent Learning.
Advances in Complex Systems, 2001

2000
Resource sharing and coevolution in evolving cellular automata.
IEEE Trans. Evolutionary Computation, 2000

Quantum automata and quantum grammars.
Theor. Comput. Sci., 2000

Pattern Discovery and Computational Mechanics
CoRR, 2000

1999
Statistical Dynamics of the Royal Road Genetic Algorithm.
Theor. Comput. Sci., 1999

Computational Mechanics: Pattern and Prediction, Structure and Simplicity
CoRR, 1999

1998
Mechanisms of Emergent Computation in Cellular Automata.
Proceedings of the Parallel Problem Solving from Nature, 1998

1996
Turbulent landscapes.
Complexity, 1996

1995
Evolving Globally Synchronized Cellular Automata.
Proceedings of the 6th International Conference on Genetic Algorithms, 1995

1994
A Genetic Algorithm Discovers Particle-Based Computation in Cellular Automata.
Proceedings of the Parallel Problem Solving from Nature, 1994

1993
Revisiting the Edge of Chaos: Evolving Cellular Automata to Perform Computations.
Complex Systems, 1993

1987
Equations of Motion from a Data Series.
Complex Systems, 1987

1985
Experimental Mathematics: The Role of Computation in Nonlinear Science.
Commun. ACM, 1985


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