parallel sampling

DRiffusion: Draft-and-Refine Process Parallelizes Diffusion Models with Ease CVPR 2026 LaMI: Augmenting Large Language Models via Late Multi-Image Fusion ACL 2026 Optimal Inference Schedules for Masked Diffusion Models COLT 2026 Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models ICLR 2025 ParaSolver: A Hierarchical Parallel Integral Solver for Diffusion Models ICLR 2025 PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models CVPR 2025 Sampling-based System Identification with Active Exploration for Legged Sim2Real Learning CoRL 2025 Unlocking Point Processes through Point Set Diffusion ICLR 2025 Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity NeurIPS 2024 Accelerating Parallel Sampling of Diffusion Models ICML 2024 Deep Equilibrium Diffusion Restoration with Parallel Sampling CVPR 2024 DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling CVPR 2024 Fast parallel sampling under isoperimetry COLT 2024 Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training NeurIPS 2024 Fast Sampling of Diffusion Models via Operator Learning ICML 2023 Parallel Sampling of Diffusion Models NeurIPS 2023 DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems NeurIPS 2022 LAR-SR: A Local Autoregressive Model for Image Super-Resolution CVPR 2022 Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics ICML 2021 Rao-Blackwellised parallel MCMC AISTATS 2021 Fast and Flexible Temporal Point Processes with Triangular Maps NeurIPS 2020 Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes UAI 2020 Adaptive MCMC via Combining Local Samplers AISTATS 2019 GANSynth: Adversarial Neural Audio Synthesis ICLR 2019 End-to-End Learning for the Deep Multivariate Probit Model ICML 2018