Saved in:
| Main Author: | Kozyrev, S. V. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.18624 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
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)
Dynamical Regimes of Diffusion Models
by: Biroli, Giulio, et al.
Published: (2024)
by: Biroli, Giulio, et al.
Published: (2024)
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models
by: Máté, Bálint, et al.
Published: (2024)
by: Máté, Bálint, et al.
Published: (2024)
Solvation Free Energies from Neural Thermodynamic Integration
by: Máté, Bálint, et al.
Published: (2024)
by: Máté, Bálint, et al.
Published: (2024)
Deep generative modelling of canonical ensemble with differentiable thermal properties
by: Li, Shuo-Hui, et al.
Published: (2024)
by: Li, Shuo-Hui, et al.
Published: (2024)
Discrete distributions are learnable from metastable samples
by: Jayakumar, Abhijith, et al.
Published: (2024)
by: Jayakumar, Abhijith, et al.
Published: (2024)
Speed-accuracy relations for diffusion models: Wisdom from nonequilibrium thermodynamics and optimal transport
by: Ikeda, Kotaro, et al.
Published: (2024)
by: Ikeda, Kotaro, et al.
Published: (2024)
Efficient mapping of phase diagrams with conditional Boltzmann Generators
by: Schebek, Maximilian, et al.
Published: (2024)
by: Schebek, Maximilian, et al.
Published: (2024)
CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver
by: Pan, Zhenyu, et al.
Published: (2024)
by: Pan, Zhenyu, et al.
Published: (2024)
Improving FMQA via Initial Training Data Design Considering Marginal Bit Coverage in One-Hot Encoding
by: Hayashi, Taiga, et al.
Published: (2026)
by: Hayashi, Taiga, et al.
Published: (2026)
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)
Scalable Boltzmann Generators for equilibrium sampling of large-scale materials
by: Schebek, Maximilian, et al.
Published: (2025)
by: Schebek, Maximilian, et al.
Published: (2025)
Emergence of Nonequilibrium Latent Cycles in Unsupervised Generative Modeling
by: Baiesi, Marco, et al.
Published: (2025)
by: Baiesi, Marco, et al.
Published: (2025)
Posterior Collapse as Automatic Spectral Pruning
by: Hirn, Johannes
Published: (2026)
by: Hirn, Johannes
Published: (2026)
Machine Learning H-theorem
by: Lier, Ruben
Published: (2025)
by: Lier, Ruben
Published: (2025)
Learning the Intrinsic Dimensionality of Fermi-Pasta-Ulam-Tsingou Trajectories: A Nonlinear Approach using a Deep Autoencoder Model
by: Marchetti, Gionni
Published: (2026)
by: Marchetti, Gionni
Published: (2026)
The impact of memory on learning sequence-to-sequence tasks
by: Seif, Alireza, et al.
Published: (2022)
by: Seif, Alireza, et al.
Published: (2022)
Discovering Causal Structure with Reproducing-Kernel Hilbert Space $ε$-Machines
by: Brodu, Nicolas, et al.
Published: (2020)
by: Brodu, Nicolas, et al.
Published: (2020)
$α$-divergence Improves the Entropy Production Estimation via Machine Learning
by: Kwon, Euijoon, et al.
Published: (2023)
by: Kwon, Euijoon, et al.
Published: (2023)
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)
Dynamical symmetries in the fluctuation-driven regime: an application of Noether's theorem to noisy dynamical systems
by: Vastola, John J.
Published: (2025)
by: Vastola, John J.
Published: (2025)
A differentiable programming framework for spin models
by: Farias, Tiago de Souza, et al.
Published: (2023)
by: Farias, Tiago de Souza, et al.
Published: (2023)
Data driven modeling for self-similar dynamics
by: Tao, Ruyi, et al.
Published: (2023)
by: Tao, Ruyi, et al.
Published: (2023)
Composing diffusion priors with explicit physical context via generative Gibbs sampling
by: Wang, Weizhou, et al.
Published: (2026)
by: Wang, Weizhou, et al.
Published: (2026)
The topological gap at criticality: scaling exponent d + η, universality, and scope
by: Loftus, Matthew
Published: (2026)
by: Loftus, Matthew
Published: (2026)
Optimised Feature Subset Selection via Simulated Annealing
by: Martínez-García, Fernando, et al.
Published: (2025)
by: Martínez-García, Fernando, et al.
Published: (2025)
Learned Mappings for Targeted Free Energy Perturbation between Peptide Conformations
by: Willow, Soohaeng Yoo, et al.
Published: (2023)
by: Willow, Soohaeng Yoo, et al.
Published: (2023)
Exact Fractional Inference via Re-Parametrization & Interpolation between Tree-Re-Weighted- and Belief Propagation- Algorithms
by: Behjoo, Hamidreza, et al.
Published: (2023)
by: Behjoo, Hamidreza, et al.
Published: (2023)
Plastic tensor networks for interpretable generative modeling
by: Akamatsu, Katsuya O., et al.
Published: (2025)
by: Akamatsu, Katsuya O., et al.
Published: (2025)
Building causation links in stochastic nonlinear systems from data
by: Chibbaro, Sergio, et al.
Published: (2025)
by: Chibbaro, Sergio, et al.
Published: (2025)
Steering Dynamical Regimes of Diffusion Models by Breaking Detailed Balance
by: Lu, Haiqi, et al.
Published: (2026)
by: Lu, Haiqi, et al.
Published: (2026)
Selecting Optimal Variable Order in Autoregressive Ising Models
by: Biswal, Shiba, et al.
Published: (2026)
by: Biswal, Shiba, et al.
Published: (2026)
SETOL: A Semi-Empirical Theory of (Deep) Learning
by: Martin, Charles H, et al.
Published: (2025)
by: Martin, Charles H, et al.
Published: (2025)
Efficient Identification of Critical Transitions via Flow Matching: A Scalable Generative Approach for Many-Body Systems
by: Lee, Qian-Rui, et al.
Published: (2025)
by: Lee, Qian-Rui, et al.
Published: (2025)
Computationally sufficient statistics for Ising models
by: Jayakumar, Abhijith, et al.
Published: (2026)
by: Jayakumar, Abhijith, et al.
Published: (2026)
Capturing the Topological Phase Transition and Thermodynamics of the 2D XY Model via Manifold-Aware Score-Based Generative Modeling
by: Jha, Pratyush
Published: (2026)
by: Jha, Pratyush
Published: (2026)
Thermodynamic Isomorphism of Transformers: A Lagrangian Approach to Attention Dynamics
by: Kim, Gunn
Published: (2026)
by: Kim, Gunn
Published: (2026)
Similar Items
-
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory
by: Watanabe, Sumio
Published: (2024) -
Susceptibilities and Patterning: A Primer on Linear Response in Bayesian Learning
by: Elliott, Chris, et al.
Published: (2026) -
Statistics of Min-max Normalized Eigenvalues in Random Matrices
by: Nakada, Hyakka, et al.
Published: (2025) -
Laws of thermodynamics for exponential families
by: Balsubramani, Akshay
Published: (2025) -
Dynamical Regimes of Diffusion Models
by: Biroli, Giulio, et al.
Published: (2024)