{"total":19,"rows":[{"id":"2107.04150","title":"MCMC Variational Inference via Uncorrected Hamiltonian Annealing","created":"2021-07-08","cited_by_count":39,"area":null},{"id":"2311.05672","title":"Conditional Optimal Transport on Function Spaces","created":"2023-11-09","cited_by_count":26,"area":null},{"id":"2107.11820","title":"A Survey of Monte Carlo Methods for Parameter Estimation","created":"2021-07-25","cited_by_count":23,"area":null},{"id":"2401.02080","title":"Energy based diffusion generator for efficient sampling of Boltzmann distributions","created":"2024-01-04","cited_by_count":7,"area":null},{"id":"2208.04506","title":"Second Order Ensemble Langevin Method for Sampling and Inverse Problems","created":"2022-08-09","cited_by_count":6,"area":null},{"id":"2203.10592","title":"Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents","created":"2022-03-20","cited_by_count":5,"area":null},{"id":"2307.03460","title":"On the convergence of dynamic implementations of Hamiltonian Monte Carlo and No U-Turn Samplers","created":"2023-07-07","cited_by_count":4,"area":null},{"id":"2402.08077","title":"Diffeomorphic Measure Matching with Kernels for Generative Modeling","created":"2024-02-12","cited_by_count":4,"area":null},{"id":"2209.07481","title":"Variational Representations of Annealing Paths: Bregman Information under Monotonic Embedding","created":"2022-09-15","cited_by_count":3,"area":null},{"id":"2210.14488","title":"History-Based, Bayesian, Closure for Stochastic Parameterization: Application to Lorenz '96","created":"2022-10-26","cited_by_count":3,"area":null},{"id":"2504.14854","title":"Uncertainty quantification of neural network models of evolving processes via Langevin sampling","created":"2025-04-21","cited_by_count":2,"area":null},{"id":"2110.12907","title":"Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions","created":"2021-10-21","cited_by_count":1,"area":null},{"id":"2204.10413","title":"Staying the course: Locating equilibria of dynamical systems on Riemannian manifolds defined by point-clouds","created":"2022-04-21","cited_by_count":1,"area":null},{"id":"2410.22065","title":"Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient","created":"2024-10-29","cited_by_count":1,"area":null},{"id":"2602.21272","title":"Counterdiabatic Hamiltonian Monte Carlo","created":"2026-02-24","cited_by_count":1,"area":null},{"id":"2111.10210","title":"The Application of Zig-Zag Sampler in Sequential Markov Chain Monte Carlo","created":"2021-11-18","cited_by_count":0,"area":null},{"id":"2301.01409","title":"Geometric Ergodicity in Modified Variations of Riemannian Manifold and Lagrangian Monte Carlo","created":"2023-01-04","cited_by_count":0,"area":null},{"id":"2403.04607","title":"Repelling-Attracting Hamiltonian Monte Carlo","created":"2024-03-07","cited_by_count":0,"area":null},{"id":"2405.05033","title":"Multi-fidelity Hamiltonian Monte Carlo","created":"2024-05-08","cited_by_count":0,"area":null}],"next_cursor":null}