{"total":24,"rows":[{"id":"2211.10575","title":"Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants","created":"2022-11-19","cited_by_count":24,"area":null},{"id":"2402.03008","title":"Diffusive Gibbs Sampling","created":"2024-02-05","cited_by_count":21,"area":null},{"id":"2112.05120","title":"On Convergence of Federated Averaging Langevin Dynamics","created":"2021-12-09","cited_by_count":14,"area":null},{"id":"2110.04825","title":"Deep Bayesian inference for seismic imaging with tasks","created":"2021-10-10","cited_by_count":12,"area":null},{"id":"2206.09909","title":"Low-Precision Stochastic Gradient Langevin Dynamics","created":"2022-06-20","cited_by_count":12,"area":null},{"id":"2105.13937","title":"Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks","created":"2021-05-28","cited_by_count":11,"area":null},{"id":"2210.04349","title":"Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network","created":"2022-10-09","cited_by_count":10,"area":null},{"id":"2410.09697","title":"Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics","created":"2024-10-13","cited_by_count":10,"area":null},{"id":"2202.09867","title":"Interacting Contour Stochastic Gradient Langevin Dynamics","created":"2022-02-20","cited_by_count":9,"area":null},{"id":"2402.17699","title":"Gradient-based Discrete Sampling with Automatic Cyclical Scheduling","created":"2024-02-27","cited_by_count":9,"area":null},{"id":"2302.12717","title":"Statistical Inference with Stochastic Gradient Methods under $\\phi$-mixing Data","created":"2023-02-24","cited_by_count":7,"area":null},{"id":"2405.07839","title":"Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics","created":"2024-05-13","cited_by_count":7,"area":null},{"id":"2305.15988","title":"Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms","created":"2023-05-25","cited_by_count":4,"area":null},{"id":"2501.00565","title":"Sampling from multi-modal distributions with polynomial query complexity in fixed dimension via reverse diffusion","created":"2024-12-31","cited_by_count":4,"area":null},{"id":"2509.00663","title":"Morephy-Net: An Evolutionary Multi-objective Optimization for Replica-Exchange-based Physics-informed Neural Operator Learning Networks","created":"2025-08-31","cited_by_count":3,"area":null},{"id":"2212.02042","title":"Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning","created":"2022-12-05","cited_by_count":2,"area":null},{"id":"2302.09484","title":"Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space","created":"2023-02-19","cited_by_count":2,"area":null},{"id":"2511.13571","title":"Opt3DGS: Optimizing 3D Gaussian Splatting with Adaptive Exploration and Curvature-Aware Exploitation","created":"2025-11-17","cited_by_count":2,"area":null},{"id":"2312.03291","title":"Evaluation of human-model prediction difference on the Internet Scale of Data","created":"2023-12-06","cited_by_count":1,"area":null},{"id":"2502.18300","title":"Bayesian Computation in Deep Learning","created":"2025-02-25","cited_by_count":1,"area":null},{"id":"2502.19240","title":"Enhancing Gradient-based Discrete Sampling via Parallel Tempering","created":"2025-02-26","cited_by_count":1,"area":null},{"id":"2604.10821","title":"Slithering Through Gaps: Capturing Discrete Isolated Modes via Logistic Bridging","created":"2026-04-12","cited_by_count":1,"area":null},{"id":"2310.09335","title":"The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks","created":"2023-10-13","cited_by_count":0,"area":null},{"id":"2510.02174","title":"Flatness-Aware Stochastic Gradient Langevin Dynamics","created":"2025-10-02","cited_by_count":0,"area":null}],"next_cursor":null}