NEURIPS 2025 "posterior sampling" Papers

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$\Psi$-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

A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors

Sebastian Wagner-Carena, Aizhan Akhmetzhanova, Sydney Erickson

NEURIPS 2025posterarXiv:2510.05205

Constrained Posterior Sampling: Time Series Generation with Hard Constraints

Sai Shankar Narasimhan, Shubhankar Agarwal, Litu Rout et al.

NEURIPS 2025posterarXiv:2410.12652

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

Multitask Learning with Stochastic Interpolants

Hugo Negrel, Florentin Coeurdoux, Michael Albergo et al.

NEURIPS 2025spotlightarXiv:2508.04605

Self-diffusion for Solving Inverse Problems

Guanxiong Luo, Shoujin Huang

NEURIPS 2025posterarXiv:2510.21417

Split Gibbs Discrete Diffusion Posterior Sampling

Wenda Chu, Zihui Wu, Yifan Chen et al.

NEURIPS 2025posterarXiv:2503.01161