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04/25/2023
Physics-Informed Representation Learning for Emergent Organization in Complex Dynamical Systems
Nonlinearly interacting system components often introduce instabilities ...
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03/25/2023
Complexity-calibrated Benchmarks for Machine Learning Reveal When Next-Generation Reservoir Computer Predictions Succeed and Mislead
Recurrent neural networks are used to forecast time series in finance, c...
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03/01/2023
Intrinsic and Measured Information in Separable Quantum Processes
Stationary quantum information sources emit sequences of correlated qudi...
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12/05/2022
Whale Casting: Remote mobile streaming humpback whale vocalizations to the world
Over several days in early August 2021, while at sea in Chatham Strait, ...
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06/09/2022
Exploring Predictive States via Cantor Embeddings and Wasserstein Distance
Predictive states for stochastic processes are a nonparametric and inter...
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11/11/2021
Quantum Information Dimension and Geometric Entropy
Geometric quantum mechanics, through its differential-geometric underpin...
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09/19/2021
Topology, Convergence, and Reconstruction of Predictive States
Predictive equivalence in discrete stochastic processes have been applie...
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06/07/2021
Nonequilibrium Thermodynamics in Measuring Carbon Footprints: Disentangling Structure and Artifact in Input-Output Accounting
Multiregional input-output (MRIO) tables, in conjunction with Leontief a...
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02/21/2021
Divergent Predictive States: The Statistical Complexity Dimension of Stationary, Ergodic Hidden Markov Processes
Even simply-defined, finite-state generators produce stochastic processe...
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11/23/2020
Discovering Causal Structure with Reproducing-Kernel Hilbert Space ε-Machines
We merge computational mechanics' definition of causal states (predictiv...
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10/12/2020
Spacetime Autoencoders Using Local Causal States
Local causal states are latent representations that capture organized pa...
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08/29/2020
Shannon Entropy Rate of Hidden Markov Processes
Hidden Markov chains are widely applied statistical models of stochastic...
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03/22/2020
Variations on a Demonic Theme: Szilard's Other Engines
Szilard's now-famous single-molecule engine was only the first of three ...
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02/29/2020
The Functional Thermodynamics of Finite-State Maxwellian Ratchets
Autonomous Maxwellian demons exploit structured environments as a resour...
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01/07/2020
Thermodynamically-Efficient Local Computation: Classical and quantum information reservoirs and generators
The thermodynamics of modularity identifies how locally-implemented comp...
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11/04/2019
Thermal Efficiency of Quantum Memory Compression
Quantum coherence allows for reduced-memory simulators of classical proc...
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09/25/2019
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems
Extracting actionable insight from complex unlabeled scientific data is ...
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09/16/2019
Towards Unsupervised Segmentation of Extreme Weather Events
Extreme weather is one of the main mechanisms through which climate chan...
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06/27/2019
Harnessing Fluctuations in Thermodynamic Computing via Time-Reversal Symmetries
We experimentally demonstrate that highly structured distributions of wo...
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11/01/2018
Unique Information and Secret Key Agreement
The partial information decomposition (PID) is a promising framework for...
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08/26/2018
Strong and Weak Optimizations in Classical and Quantum Models of Stochastic Processes
Among the predictive hidden Markov models that describe a given stochast...
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08/26/2018
A Perspective on Unique Information: Directionality, Intuitions, and Secret Key Agreement
Recently, the partial information decomposition emerged as a promising f...
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08/21/2018
Modes of Information Flow
Information flow between components of a system takes many forms and is ...
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02/09/2018
Optimized Bacteria are Environmental Prediction Engines
Experimentalists have observed phenotypic variability in isogenic bacter...
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01/01/2018
Local Causal States and Discrete Coherent Structures
Coherent structures form spontaneously in nonlinear spatiotemporal syste...
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02/27/2017
Nearly Maximally Predictive Features and Their Dimensions
Scientific explanation often requires inferring maximally predictive fea...
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02/07/2017
Trimming the Independent Fat: Sufficient Statistics, Mutual Information, and Predictability from Effective Channel States
One of the most fundamental questions one can ask about a pair of random...
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09/05/2016
Multivariate Dependence Beyond Shannon Information
Accurately determining dependency structure is critical to discovering a...
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07/02/2015
The Elusive Present: Hidden Past and Future Dependency and Why We Build Models
Modeling a temporal process as if it is Markovian assumes the present en...
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04/18/2015
Time Resolution Dependence of Information Measures for Spiking Neurons: Atoms, Scaling, and Universality
The mutual information between stimulus and spike-train response is comm...
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04/01/2015
Signatures of Infinity: Nonergodicity and Resource Scaling in Prediction, Complexity, and Learning
We introduce a simple analysis of the structural complexity of infinite-...
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12/09/2014
Circumventing the Curse of Dimensionality in Prediction: Causal Rate-Distortion for Infinite-Order Markov Processes
Predictive rate-distortion analysis suffers from the curse of dimensiona...
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09/05/2013
Bayesian Structural Inference for Hidden Processes
We introduce a Bayesian approach to discovering patterns in structurally...
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11/18/2011
Equivalence of History and Generator Epsilon-Machines
Epsilon-machines are minimal, unifilar presentations of stationary stoch...
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11/06/2010
Asymptotic Synchronization for Finite-State Sources
We extend a recent synchronization analysis of exact finite-state source...
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08/25/2010
Exact Synchronization for Finite-State Sources
We analyze how an observer synchronizes to the internal state of a finit...
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07/30/2010
Synchronization and Control in Intrinsic and Designed Computation: An Information-Theoretic Analysis of Competing Models of Stochastic Computation
We adapt tools from information theory to analyze how an observer comes ...
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10/07/2004
Automated Pattern Detection--An Algorithm for Constructing Optimally Synchronizing Multi-Regular Language Filters
In the computational-mechanics structural analysis of one-dimensional ce...
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01/29/2000
