Saved in:
| Main Authors: | Brodu, Nicolas, Crutchfield, James P. |
|---|---|
| Format: | Preprint |
| Published: |
2020
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2011.14821 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Way More Than the Sum of Their Parts: From Statistical to Structural Mixtures
by: Crutchfield, James P.
Published: (2025)
by: Crutchfield, James P.
Published: (2025)
Inferring Kernel $ε$-Machines: Discovering Structure in Complex Systems
by: Jurgens, Alexandra M., et al.
Published: (2024)
by: Jurgens, Alexandra M., et al.
Published: (2024)
Optimal Computation from Fluctuation Responses
by: Lyu, Jinghao, et al.
Published: (2025)
by: Lyu, Jinghao, et al.
Published: (2025)
Discovering quantum phenomena with Interpretable Machine Learning
by: de Schoulepnikoff, Paulin, et al.
Published: (2026)
by: de Schoulepnikoff, Paulin, et al.
Published: (2026)
W-Kernel and Its Principal Space for Frequentist Evaluation of Bayesian Estimators
by: Iba, Yukito
Published: (2023)
by: Iba, Yukito
Published: (2023)
Learning Stochastic Thermodynamics Directly from Correlation and Trajectory-Fluctuation Currents
by: Lyu, Jinghao, et al.
Published: (2025)
by: Lyu, Jinghao, et al.
Published: (2025)
Branching States as The Emergent Structure of a Quantum Universe
by: Touil, Akram, et al.
Published: (2022)
by: Touil, Akram, et al.
Published: (2022)
Machine Learning H-theorem
by: Lier, Ruben
Published: (2025)
by: Lier, Ruben
Published: (2025)
Geometric Quantum Thermodynamics
by: Anza, Fabio, et al.
Published: (2020)
by: Anza, Fabio, et al.
Published: (2020)
Maximum Geometric Quantum Entropy
by: Anza, Fabio, et al.
Published: (2020)
by: Anza, Fabio, et al.
Published: (2020)
Support Vector Machine Kernels as Quantum Propagators
by: Kuo, Nan-Hong, et al.
Published: (2025)
by: Kuo, Nan-Hong, et al.
Published: (2025)
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory
by: Watanabe, Sumio
Published: (2024)
by: Watanabe, Sumio
Published: (2024)
$α$-divergence Improves the Entropy Production Estimation via Machine Learning
by: Kwon, Euijoon, et al.
Published: (2023)
by: Kwon, Euijoon, et al.
Published: (2023)
Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces
by: Boshoff, Septimus, et al.
Published: (2025)
by: Boshoff, Septimus, et al.
Published: (2025)
Factorization Machine with Quadratic-Optimization Annealing for RNA Inverse Folding and Evaluation of Binary-Integer Encoding and Nucleotide Assignment
by: Kikuchi, Shuta, et al.
Published: (2026)
by: Kikuchi, Shuta, et al.
Published: (2026)
Thermodynamic Overfitting and Generalization: Energetic Limits on Predictive Complexity
by: Boyd, Alexander B., et al.
Published: (2024)
by: Boyd, Alexander B., et al.
Published: (2024)
Landscape Complexity for the Empirical Risk of Generalized Linear Models: Discrimination between Structured Data
by: Tsironis, Theodoros G., et al.
Published: (2025)
by: Tsironis, Theodoros G., et al.
Published: (2025)
Taxonomy of Prediction
by: Jurgens, Alexandra, et al.
Published: (2025)
by: Jurgens, Alexandra, et al.
Published: (2025)
Quantum Information Dimension and Geometric Entropy
by: Anza, Fabio, et al.
Published: (2021)
by: Anza, Fabio, et al.
Published: (2021)
Quantum consistent neural/tensor networks for photonic circuits with strongly/weakly entangled states
by: Allegra, Nicolas
Published: (2024)
by: Allegra, Nicolas
Published: (2024)
Fast training and sampling of Restricted Boltzmann Machines
by: Béreux, Nicolas, et al.
Published: (2024)
by: Béreux, Nicolas, et al.
Published: (2024)
Combining Reinforcement Learning and Tensor Networks, with an Application to Dynamical Large Deviations
by: Gillman, Edward, et al.
Published: (2022)
by: Gillman, Edward, et al.
Published: (2022)
Machine learning for cerebral blood vessels' malformations
by: Topal, Irem, et al.
Published: (2024)
by: Topal, Irem, et al.
Published: (2024)
Machine learning for structure-property relationships: Scalability and limitations
by: Tian, Zhongzheng, et al.
Published: (2023)
by: Tian, Zhongzheng, et al.
Published: (2023)
Nonequilibrium Thermodynamics of a Superconducting Szilard Engine
by: Tang, Kuen Wai, et al.
Published: (2024)
by: Tang, Kuen Wai, et al.
Published: (2024)
Entropy Production by Underdamped Langevin Dynamics
by: Lyu, Jinghao, et al.
Published: (2024)
by: Lyu, Jinghao, et al.
Published: (2024)
Trajectory Class Fluctuation Theorem
by: Wimsatt, Gregory, et al.
Published: (2022)
by: Wimsatt, Gregory, et al.
Published: (2022)
Agentic Information Theory: Ergodicity and Intrinsic Semantics of Information Processes
by: Crutchfield, James P., et al.
Published: (2025)
by: Crutchfield, James P., et al.
Published: (2025)
Boltzmann Machine Learning with a Parallel, Persistent Markov chain Monte Carlo method for Estimating Evolutionary Fields and Couplings from a Protein Multiple Sequence Alignment
by: Miyazawa, Sanzo
Published: (2026)
by: Miyazawa, Sanzo
Published: (2026)
Fast, Modular, and Differentiable Framework for Machine Learning-Enhanced Molecular Simulations
by: Christiansen, Henrik, et al.
Published: (2025)
by: Christiansen, Henrik, et al.
Published: (2025)
Meta-learning of Gibbs states for many-body Hamiltonians with applications to Quantum Boltzmann Machines
by: Bhat, Ruchira V, et al.
Published: (2025)
by: Bhat, Ruchira V, et al.
Published: (2025)
Score Shocks: The Burgers Equation Structure of Diffusion Generative Models
by: Sarkar, Krisanu
Published: (2026)
by: Sarkar, Krisanu
Published: (2026)
Causal Anomaly Detection for Lithium-Ion Battery Degradation
by: Heermann, Dieter W., et al.
Published: (2026)
by: Heermann, Dieter W., et al.
Published: (2026)
Susceptibilities and Patterning: A Primer on Linear Response in Bayesian Learning
by: Elliott, Chris, et al.
Published: (2026)
by: Elliott, Chris, et al.
Published: (2026)
Statistics of Min-max Normalized Eigenvalues in Random Matrices
by: Nakada, Hyakka, et al.
Published: (2025)
by: Nakada, Hyakka, et al.
Published: (2025)
Laws of thermodynamics for exponential families
by: Balsubramani, Akshay
Published: (2025)
by: Balsubramani, Akshay
Published: (2025)
Extracting Equations of Motion from Superconducting Circuits
by: Pratt, Christian Z., et al.
Published: (2023)
by: Pratt, Christian Z., et al.
Published: (2023)
Controlled Erasure as a Building Block for Universal Thermodynamically-Robust Superconducting Computing
by: Pratt, Christian Z., et al.
Published: (2024)
by: Pratt, Christian Z., et al.
Published: (2024)
Efficient Quantum Work Reservoirs at the Nanoscale
by: Lyu, Jinghao, et al.
Published: (2023)
by: Lyu, Jinghao, et al.
Published: (2023)
Learning Degenerate Manifolds of Frustrated Magnets with Boltzmann Machines
by: Jang, Ho, et al.
Published: (2025)
by: Jang, Ho, et al.
Published: (2025)
Similar Items
-
Way More Than the Sum of Their Parts: From Statistical to Structural Mixtures
by: Crutchfield, James P.
Published: (2025) -
Inferring Kernel $ε$-Machines: Discovering Structure in Complex Systems
by: Jurgens, Alexandra M., et al.
Published: (2024) -
Optimal Computation from Fluctuation Responses
by: Lyu, Jinghao, et al.
Published: (2025) -
Discovering quantum phenomena with Interpretable Machine Learning
by: de Schoulepnikoff, Paulin, et al.
Published: (2026) -
W-Kernel and Its Principal Space for Frequentist Evaluation of Bayesian Estimators
by: Iba, Yukito
Published: (2023)