Saved in:
| Main Authors: | Baiesi, Marco, Rosso, Alberto |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.11415 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Interpretable machine learning of amino acid patterns in proteins: a statistical ensemble approach
by: Braghetto, Anna, et al.
Published: (2023)
by: Braghetto, Anna, et al.
Published: (2023)
Variational autoencoders understand knot topology
by: Braghetto, Anna, et al.
Published: (2025)
by: Braghetto, Anna, et al.
Published: (2025)
Cross-Spectral Witness for Hidden Nonequilibrium Beyond the Scalar Ceiling
by: Bi, Yuda, et al.
Published: (2026)
by: Bi, Yuda, et al.
Published: (2026)
Effective estimation of entropy production with lacking data
by: Baiesi, Marco, et al.
Published: (2023)
by: Baiesi, Marco, et al.
Published: (2023)
Uncertainty in AI-driven Monte Carlo simulations
by: Tzivrailis, Dimitrios, et al.
Published: (2025)
by: Tzivrailis, Dimitrios, et al.
Published: (2025)
Information-Geometric Decomposition of Generalization Error in Unsupervised Learning
by: Kim, Gilhan
Published: (2026)
by: Kim, Gilhan
Published: (2026)
Variance sum rule: proofs and solvable models
by: Di Terlizzi, Ivan, et al.
Published: (2024)
by: Di Terlizzi, Ivan, et al.
Published: (2024)
Hessian Geometry of Latent Space in Generative Models
by: Lobashev, Alexander, et al.
Published: (2025)
by: Lobashev, Alexander, et al.
Published: (2025)
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)
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)
Unsupervised learning of anomalous diffusion data
by: Muñoz-Gil, Gorka, et al.
Published: (2021)
by: Muñoz-Gil, Gorka, et al.
Published: (2021)
Generalized disorder averages and current fluctuations in run and tumble particles
by: Jose, Stephy, et al.
Published: (2023)
by: Jose, Stephy, et al.
Published: (2023)
Earthquake-like dynamics in ultrathin magnetic film
by: Durin, Gianfranco, et al.
Published: (2023)
by: Durin, Gianfranco, et al.
Published: (2023)
Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data
by: Qiu, Yunrui, et al.
Published: (2025)
by: Qiu, Yunrui, et al.
Published: (2025)
Efficient mapping of phase diagrams with conditional Boltzmann Generators
by: Schebek, Maximilian, et al.
Published: (2024)
by: Schebek, Maximilian, et al.
Published: (2024)
Stochastic Resetting Mitigates Latent Gradient Bias of SGD from Label Noise
by: Bae, Youngkyoung, et al.
Published: (2024)
by: Bae, Youngkyoung, et al.
Published: (2024)
Scalable Boltzmann Generators for equilibrium sampling of large-scale materials
by: Schebek, Maximilian, et al.
Published: (2025)
by: Schebek, Maximilian, et al.
Published: (2025)
Fluctuations of driven probes reveal nonequilibrium transitions in complex fluids
by: Forastiere, Danilo, et al.
Published: (2024)
by: Forastiere, Danilo, et al.
Published: (2024)
Dynamical Regimes of Diffusion Models
by: Biroli, Giulio, et al.
Published: (2024)
by: Biroli, Giulio, et al.
Published: (2024)
Scaling Autoregressive Models for Lattice Thermodynamics
by: Du, Xiaochen, et al.
Published: (2026)
by: Du, Xiaochen, et al.
Published: (2026)
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)
Extreme value statistics in a continuous time branching process: a pedagogical primer
by: Majumdar, Satya N., et al.
Published: (2025)
by: Majumdar, Satya N., et al.
Published: (2025)
Thermodynamic Performance Limits for Score-Based Diffusion Models
by: Kodama, Nathan X., et al.
Published: (2025)
by: Kodama, Nathan X., et al.
Published: (2025)
Selecting Optimal Variable Order in Autoregressive Ising Models
by: Biswal, Shiba, et al.
Published: (2026)
by: Biswal, Shiba, et al.
Published: (2026)
Steering Dynamical Regimes of Diffusion Models by Breaking Detailed Balance
by: Lu, Haiqi, et al.
Published: (2026)
by: Lu, Haiqi, et al.
Published: (2026)
Concurrence of Symmetry Breaking and Nonlocality Phase Transitions in Diffusion Models
by: Zhang, Yifan F., et al.
Published: (2026)
by: Zhang, Yifan F., et al.
Published: (2026)
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models
by: Máté, Bálint, et al.
Published: (2024)
by: Máté, Bálint, et al.
Published: (2024)
Detecting Depinning and Nonequilibrium Transitions with Unsupervised Machine Learning
by: McDermott, D., et al.
Published: (2019)
by: McDermott, D., et al.
Published: (2019)
Score Shocks: The Burgers Equation Structure of Diffusion Generative Models
by: Sarkar, Krisanu
Published: (2026)
by: Sarkar, Krisanu
Published: (2026)
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)
Discontinuity in the distribution of field increments between avalanches in non-abelian random field Blume-Emery-Griffiths model with no passing violation
by: E, Aldrin B, et al.
Published: (2025)
by: E, Aldrin B, et al.
Published: (2025)
Effect of initial conditions on current fluctuations in non-interacting active particles
by: Jose, Stephy, et al.
Published: (2023)
by: Jose, Stephy, et al.
Published: (2023)
Constrained hidden Markov models reveal further Hsp90 protein states
by: Tancredi, Riccardo, et al.
Published: (2024)
by: Tancredi, Riccardo, et al.
Published: (2024)
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)
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)
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)
Ergodicity Breaking in Active Run-and-Tumble Particles in a Double-Well Potential
by: Basu, Urna, et al.
Published: (2025)
by: Basu, Urna, et al.
Published: (2025)
Model-free learning of probability flows: Elucidating the nonequilibrium dynamics of flocking
by: Boffi, Nicholas M., et al.
Published: (2024)
by: Boffi, Nicholas M., et al.
Published: (2024)
From Classical to Quantum: Extending Prometheus for Unsupervised Discovery of Phase Transitions in Three Dimensions and Quantum Systems
by: Yee, Brandon, et al.
Published: (2026)
by: Yee, Brandon, et al.
Published: (2026)
Similar Items
-
Interpretable machine learning of amino acid patterns in proteins: a statistical ensemble approach
by: Braghetto, Anna, et al.
Published: (2023) -
Variational autoencoders understand knot topology
by: Braghetto, Anna, et al.
Published: (2025) -
Cross-Spectral Witness for Hidden Nonequilibrium Beyond the Scalar Ceiling
by: Bi, Yuda, et al.
Published: (2026) -
Effective estimation of entropy production with lacking data
by: Baiesi, Marco, et al.
Published: (2023) -
Uncertainty in AI-driven Monte Carlo simulations
by: Tzivrailis, Dimitrios, et al.
Published: (2025)