Cover Image

Statistical Mechanics of Dynamical System Identification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Klishin, Andrei A., Bakarji, Joseph, Kutz, J. Nathan, Manohar, Krithika
Format:	Preprint
Published:	2024
Subjects:	Statistical Mechanics Machine Learning Optimization and Control Computational Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data-Induced Interactions of Sparse Sensors Using Statistical Physics
by: Klishin, Andrei A., et al.
Published: (2023)

Quantum Boltzmann machine learning of ground-state energies
by: Patel, Dhrumil, et al.
Published: (2024)

Natural gradient and parameter estimation for quantum Boltzmann machines
by: Patel, Dhrumil, et al.
Published: (2024)

Constrained free energy minimization for the design of thermal states and stabilizer thermodynamic systems
by: Minervini, Michele, et al.
Published: (2025)

Two-dimensional Parallel Tempering for Constrained Optimization
by: Delacour, Corentin, et al.
Published: (2025)

Consensus-based Distributed Optimization for Multi-agent Systems over Multiplex Networks
by: Rodríguez-Camargo, C. D., et al.
Published: (2023)

Optimal Control of Underdamped Systems: An Analytic Approach
by: Sanders, Julia, et al.
Published: (2024)

Quantum thermodynamics and semi-definite optimization
by: Liu, Nana, et al.
Published: (2025)

Analytic Bridge Diffusions for Controlled Path Generation
by: Chertkov, Michael
Published: (2026)

Dynamic Pedestrian Traffic Assignment with Link Transmission Model for Bidirectional Sidewalk Networks
by: Lilasathapornkit, Tanapon, et al.
Published: (2024)

Large Deviations in Safety-Critical Systems with Probabilistic Initial Conditions
by: Gomez, Aitor R., et al.
Published: (2024)

On the numerical integration of the Fokker-Planck equation driven by a mechanical force and the Bismut-Elworthy-Li formula
by: Sanders, Julia, et al.
Published: (2024)

Minimal work protocols for inertial particles in non-harmonic traps
by: Sanders, Julia, et al.
Published: (2024)

Grand-Canonical Optimal Transport
by: Di Marino, Simone, et al.
Published: (2022)

Annealing-Assisted Column Generation for Inequality-Constrained Combinatorial Optimization Problems
by: Kanai, Hiroshi, et al.
Published: (2024)

Effect of constraint relaxation on dynamic critical phenomena in minimum vertex cover problem
by: Dote, Aki, et al.
Published: (2024)

Reservoir computing for system identification and predictive control with limited data
by: Williams, Jan P., et al.
Published: (2024)

Turing in the shadows of Nobel and Abel: an algorithmic story behind two recent prizes
by: Gamarnik, David
Published: (2025)

Free-Energy Machine for Combinatorial Optimization
by: Shen, Zi-Song, et al.
Published: (2024)

Queues with service resetting
by: Bonomo, Ofek Lauber, et al.
Published: (2023)

Effect of Constraint Relaxation on the Minimum Vertex Cover Problem in Random Graphs
by: Dote, Aki, et al.
Published: (2023)

Community detection by simulated bifurcation
by: Li, Wei, et al.
Published: (2024)

Linearizing Binary Optimization Problems Using Variable Posets for Ising Machines
by: Ohno, Kentaro, et al.
Published: (2023)

Joint Learning of Linear Dynamical Systems under Smoothness Constraints
by: Tyagi, Hemant
Published: (2024)

Data-Efficient Non-Gaussian Semi-Nonparametric Density Estimation for Nonlinear Dynamical Systems
by: Liao, Aaron R., et al.
Published: (2026)

Target search optimization by threshold resetting
by: Biswas, Arup, et al.
Published: (2025)

Optimal threshold resetting in collective diffusive search
by: Biswas, Arup, et al.
Published: (2026)

Decentralized Sparse Linear Regression via Gradient-Tracking: Linear Convergence and Statistical Guarantees
by: Maros, Marie, et al.
Published: (2022)

Online Statistical Inference of Constrained Stochastic Optimization via Random Scaling
by: Du, Xinchen, et al.
Published: (2025)

Transforming Design Spaces Using Pareto-Laplace Filters
by: Aliahmadi, Hazhir, et al.
Published: (2024)

Filters reveal emergent structure in computational morphogenesis
by: Aliahmadi, Hazhir, et al.
Published: (2025)

Riemannian Stochastic Interpolants for Amorphous Particle Systems
by: Grenioux, Louis, et al.
Published: (2025)

RandALO: Out-of-sample risk estimation in no time flat
by: Nobel, Parth, et al.
Published: (2024)

Thermodynamic Algorithms for Quadratic Programming
by: Bartosik, Patryk-Lipka, et al.
Published: (2024)

From STLS to Projection-based Dictionary Selection in Sparse Regression for System Identification
by: Cho, Hangjun, et al.
Published: (2025)

Bootstrapping Nonequilibrium Stochastic Processes
by: Cho, Minjae
Published: (2025)

Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics
by: Sanokowski, Sebastian, et al.
Published: (2025)

Fast convergence of the Expectation Maximization algorithm under a logarithmic Sobolev inequality
by: Caprio, Rocco, et al.
Published: (2024)

A connection between Tempering and Entropic Mirror Descent
by: Chopin, Nicolas, et al.
Published: (2023)

Mean-field underdamped Langevin dynamics and its spacetime discretization
by: Fu, Qiang, et al.
Published: (2023)