langevin dynamics

Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals JMLR 2026 Energy Waveify and Redistribution for Test-Time Adaptation: A Control System Perspective CVPR 2026 Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange AAAI 2026 On the implicit regularization of Langevin dynamics with projected noise COLT 2026 Particle Dynamics for Latent-Variable Energy-Based Models UAI 2026 Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret L4DC 2025 Characterizing Dependence of Samples along the Langevin Dynamics and Algorithms via Contraction of $Φ$-Mutual Information (Extended Abstract) COLT 2025 Consistency Posterior Sampling for Diverse Image Synthesis CVPR 2025 Control and Realism: Best of Both Worlds in Layout-to-Image without Training ICML 2025 Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints AISTATS 2025 Disentangling Uncertainties by Learning Compressed Data Representation L4DC 2025 Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization ICML 2025 Exponential-Family Harmoniums with Neural Sufficient Statistics AAAI 2025 Fast Convergence of $Φ$-Divergence Along the Unadjusted Langevin Algorithm and Proximal Sampler ALT 2025 LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation ICML 2025 Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management AAAI 2025 Mixing Time of the Proximal Sampler in Relative Fisher Information via Strong Data Processing Inequality (Extended Abstract) COLT 2025 NETS: A Non-equilibrium Transport Sampler ICML 2025 Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry ICLR 2025 On the Convergence of Min-Max Langevin Dynamics and Algorithm COLT 2025 PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing ICLR 2025 Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics ICLR 2025 Regularized Langevin Dynamics for Combinatorial Optimization ICML 2025 Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics AISTATS 2025 Scalable Equilibrium Sampling with Sequential Boltzmann Generators ICML 2025