Co-occurring keywords · papers mentioning both
Papers
Score-Based Diffusion Models in Function Space
JMLR 2025
Tamed Langevin sampling under weaker conditions
AISTATS 2025
UniFORM: Towards Unified Framework for Anomaly Detection on Graphs
AAAI 2025
Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin
ICCV 2025
Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling
UAI 2025
A Bayesian Approach to Data Point Selection
NeurIPS 2024
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo
AISTATS 2024
A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution
CVPR 2024
Chain of Log-Concave Markov Chains
ICLR 2024
EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model
ICLR 2024
Fast parallel sampling under isoperimetry
COLT 2024
Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin algorithm
COLT 2024
Fisher information dissipation for time-inhomogeneous stochastic differential equations
JMLR 2024
Improved Particle Approximation Error for Mean Field Neural Networks
NeurIPS 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning
NeurIPS 2024
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow
AISTATS 2024
On Convergence of Federated Averaging Langevin Dynamics
UAI 2024
On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling
JMLR 2024
Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling
JMLR 2024
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics
NeurIPS 2024
REMEDI: Corrective Transformations for Improved Neural Entropy Estimation
ICML 2024
Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference
NeurIPS 2024
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content
ICML 2024
Robust Approximate Sampling via Stochastic Gradient Barker Dynamics
AISTATS 2024
Sample as you Infer: Predictive Coding with Langevin Dynamics
ICML 2024