sampling efficiency

DBMSolver: A Training-free Diffusion Bridge Sampler for High-Quality Image-to-Image Translation CVPR 2026 ODEt(ODEl): Shortcutting the Time and the Length in Diffusion and Flow Models for Faster Sampling WACV 2026 Diffusion Model is Effectively Its Own Teacher CVPR 2025 Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder AAAI 2025 Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching ICLR 2025 Learning to Discretize Denoising Diffusion ODEs ICLR 2025 RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler CVPR 2025 RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories CVPR 2025 Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling NAACL 2025 Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation CVPR 2025 T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching ICLR 2025 ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation AAAI 2024 Fixed Point Diffusion Models CVPR 2024 Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture CVPR 2024 Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models NeurIPS 2024 Learning to Explore for Stochastic Gradient MCMC ICML 2024 PcLast: Discovering Plannable Continuous Latent States ICML 2024 Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs NeurIPS 2024 Timing as an Action: Learning When to Observe and Act AISTATS 2024 Binary Latent Diffusion CVPR 2023 Lagrangian manifold Monte Carlo on Monge patches AISTATS 2022 Rao-Blackwellised parallel MCMC AISTATS 2021 SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions L4DC 2021 Sample-efficient Cross-Entropy Method for Real-time Planning CoRL 2020 Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering NeurIPS 2020