Cover Image

The fast committor machine: Interpretable prediction with kernels

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Aristoff, D., Johnson, M., Simpson, G., Webber, R. J.
Format:	Preprint
Published:	2024
Subjects:	Numerical Analysis Machine Learning 82C31, 82C32, 65C30, 65C40
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Convergence rates for random feature neural network approximation in molecular dynamics
by: Huang, Xin, et al.
Published: (2024)

Transient subtraction: A control variate method for computing transport coefficients
by: Monmarché, Pierre, et al.
Published: (2024)

A Langevin sampling algorithm inspired by the Adam optimizer
by: Leimkuhler, Benedict, et al.
Published: (2025)

Dimension-Free Multimodal Sampling via Preconditioned Annealed Langevin Dynamics
by: Baldassari, Lorenzo, et al.
Published: (2026)

Quasi-Monte Carlo time-splitting methods for Schrödinger equation with Gaussian random potential
by: Wu, Zhizhang, et al.
Published: (2025)

Adjoint DSMC Method for Spatially Inhomogeneous Boltzmann Equation with General Boundary Conditions
by: Caflisch, Russel, et al.
Published: (2026)

Hyperbolic Machine Learning Moment Closures for the BGK Equations
by: Christlieb, Andrew J., et al.
Published: (2024)

Random Reshuffling for Stochastic Gradient Langevin Dynamics
by: Shaw, Luke, et al.
Published: (2025)

Conservative polynomial approximations and applications to Fokker-Planck equations
by: Laidin, Tino, et al.
Published: (2024)

Kinetic models for optimization: a unified mathematical framework for metaheuristics
by: Borghi, Giacomo, et al.
Published: (2024)

Relative entropy estimate and geometric ergodicity for implicit Langevin Monte Carlo
by: Li, Lei, et al.
Published: (2025)

Dimension-Uniform Discretization Analysis of Preconditioned Annealed Langevin Dynamics for Multimodal Gaussian Mixtures
by: Baldassari, Lorenzo, et al.
Published: (2026)

Uncertainty quantification for charge transport in GNRs through particle Galerkin methods for the semiclassical Boltzmann equation
by: Medaglia, Andrea, et al.
Published: (2024)

Fisher entropic Fokker-Planck model of monatomic rarefied gases
by: Montanaro, Veronica, et al.
Published: (2025)

Efficient Multiscale Methods for Highly Heterogeneous Spatial Network Models
by: Zhou, Yingjie, et al.
Published: (2026)

Taming Score-Based Diffusion Priors for Infinite-Dimensional Nonlinear Inverse Problems
by: Baldassari, Lorenzo, et al.
Published: (2024)

A Counterexample to the Lévy Flight Foraging Hypothesis in the Narrow Capture Framework
by: Tzou, J. C., et al.
Published: (2023)

Micro-macro kinetic flux-vector splitting schemes for the multidimensional Boltzmann-ES-BGK equation
by: Rossmanith, James A., et al.
Published: (2025)

A localized consensus-based sampling algorithm
by: Bouillon, Arne, et al.
Published: (2025)

A Parareal in time numerical method for the collisional Vlasov equation in the hyperbolic scaling
by: Laidin, Tino, et al.
Published: (2025)

A bi-fidelity method for the uncertain Vlasov-Poisson system near quasineutrality in an asymptotic-preserving particle-in-cell framework
by: Liu, Guangwei, et al.
Published: (2024)

Relative Entropy Methods for the Approximation of Reactive Trajectories
by: Earle, Gabriel, et al.
Published: (2025)

Swarm-based optimization with jumps: a kinetic BGK framework and convergence analysis
by: Borghi, Giacomo, et al.
Published: (2025)

Residual Multi-Fidelity Neural Network Computing
by: Davis, Owen, et al.
Published: (2023)

Gradient-based Monte Carlo methods for relaxation approximations of hyperbolic conservation laws
by: Bertaglia, Giulia, et al.
Published: (2023)

Hierarchical dynamic domain decomposition for the multiscale Boltzmann equation
by: Caparello, Domenico, et al.
Published: (2025)

Preconditioned Langevin Dynamics with Score-Based Generative Models for Infinite-Dimensional Linear Bayesian Inverse Problems
by: Baldassari, Lorenzo, et al.
Published: (2025)

Scaling crossover of the generalized Jeffreys-type law
by: Ma, Fugui
Published: (2025)

Communication in Multiplex Transportation Networks
by: Noschese, Silvia, et al.
Published: (2024)

ProxiCBO: A Provably Convergent Consensus-Based Method for Composite Optimization
by: Zhang, Haoyu, et al.
Published: (2026)

Continuous data assimilation for hydrodynamics: consistent discretization and application to moment recovery
by: Lu, Jingcheng, et al.
Published: (2024)

A Lyapunov-tamed Euler method for singular SDEs
by: Johnston, Tim, et al.
Published: (2026)

Noise-balanced multilevel on-the-fly sparse grid surrogates for coupling Monte Carlo models into continuum models with application to heterogeneous catalysis
by: Hülser, Tobias, et al.
Published: (2026)

Random Batch Ewald Method for Dielectrically Confined Coulomb Systems
by: Gan, Zecheng, et al.
Published: (2024)

Theoretical guarantees for stochastic gradient sampling methods via Gaussian convolution inequalities
by: Paulin, Daniel, et al.
Published: (2026)

A space-time hybrid parareal method for kinetic equations in the diffusive scaling
by: Laidin, Tino
Published: (2025)

Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients
by: Chada, Neil K., et al.
Published: (2023)

Propagation of chaos for the homogeneous Boltzmann equation with moderately soft potentials
by: Fournier, Nicolas, et al.
Published: (2025)

Error estimates of asymptotic-preserving neural networks in approximating stochastic linearized Boltzmann equation
by: Wan, Jiayu, et al.
Published: (2025)

Multilevel Monte Carlo methods for the Dean-Kawasaki equation from Fluctuating Hydrodynamics
by: Cornalba, Federico, et al.
Published: (2023)