Skip to content
conftrace_

langevin diffusion

32 papers

LD

Papers

Accelerated Diffusion Models via Speculative Sampling ICML 2025 Efficiently learning and sampling multimodal distributions with data-based initialization COLT 2025 Kinetic Langevin Diffusion for Crystalline Materials Generation ICML 2025 Provable Convergence Bounds for Hybrid Dynamical Sampling and Optimization ICLR 2025 Sampling and Estimation on Manifolds using the Langevin Diffusion JMLR 2025 Sequential Controlled Langevin Diffusions ICLR 2025 Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Diffusions COLT 2024 Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization ICLR 2024 Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024 A Complete Recipe for Diffusion Generative Models ICCV 2023 Adaptive Tuning for Metropolis Adjusted Langevin Trajectories AISTATS 2023 The probability flow ODE is provably fast NeurIPS 2023 Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality COLT 2023 Universality of Langevin Diffusion for Private Optimization, with Applications to Sampling from Rashomon Sets COLT 2023 Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev COLT 2022 Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets JMLR 2022 Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants NeurIPS 2022 Score-Based Generative Modeling with Critically-Damped Langevin Diffusion ICLR 2022 Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent NeurIPS 2021 High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm JMLR 2021 SGLB: Stochastic Gradient Langevin Boosting ICML 2021 Time-independent Generalization Bounds for SGLD in Non-convex Settings NeurIPS 2021 Exponential ergodicity of mirror-Langevin diffusions NeurIPS 2020 On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method NeurIPS 2020 ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION ICLR 2019