2025 "posterior sampling" Papers
10 papers found
$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
Taehoon Yoon, Yunhong Min, Kyeongmin Yeo et al.
NeurIPS 2025spotlightarXiv:2506.01320
3
citations
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data
Asad Aali, Giannis Daras, Brett Levac et al.
ICLR 2025posterarXiv:2403.08728
30
citations
Constrained Posterior Sampling: Time Series Generation with Hard Constraints
Sai Shankar Narasimhan, Shubhankar Agarwal, Litu Rout et al.
NeurIPS 2025posterarXiv:2410.12652
2
citations
Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
Ben Schiffer, Mark Sellke
NeurIPS 2025spotlightarXiv:2506.01685
Guided Diffusion Sampling on Function Spaces with Applications to PDEs
Jiachen Yao, Abbas Mammadov, Julius Berner et al.
NeurIPS 2025posterarXiv:2505.17004
9
citations
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
Bingliang Zhang, Wenda Chu, Julius Berner et al.
CVPR 2025posterarXiv:2407.01521
85
citations
Multitask Learning with Stochastic Interpolants
Hugo Negrel, Florentin Coeurdoux, Michael Albergo et al.
NeurIPS 2025spotlightarXiv:2508.04605
Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior
Tongda Xu, Xiyan Cai, Xinjie Zhang et al.
ICLR 2025posterarXiv:2501.18913
12
citations
Self-diffusion for Solving Inverse Problems
Guanxiong Luo, Shoujin Huang
NeurIPS 2025posterarXiv:2510.21417
1
citations
Split Gibbs Discrete Diffusion Posterior Sampling
Wenda Chu, Zihui Wu, Yifan Chen et al.
NeurIPS 2025posterarXiv:2503.01161
6
citations