NEURIPS "inverse problems" Papers

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Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling

Michal Balcerak, Tamaz Amiranashvili, Antonio Terpin et al.

NEURIPS 2025posterarXiv:2504.10612
8
citations

MAP Estimation with Denoisers: Convergence Rates and Guarantees

Scott Pesme, Giacomo Meanti, Michael Arbel et al.

NEURIPS 2025posterarXiv:2507.15397
2
citations

Rethinking Gradient Step Denoiser: Towards Truly Pseudo-Contractive Operator

Shuchang Zhang, Yaoyun Zeng, Kangkang Deng et al.

NEURIPS 2025poster

Self-diffusion for Solving Inverse Problems

Guanxiong Luo, Shoujin Huang

NEURIPS 2025posterarXiv:2510.21417
1
citations

Solving and Learning Partial Differential Equations with Variational Q-Exponential Processes

Guangting Yu, Shiwei Lan

NEURIPS 2025poster

Solving Inverse Problems with FLAIR

Julius Erbach, Dominik Narnhofer, Andreas Dombos et al.

NEURIPS 2025posterarXiv:2506.02680
7
citations

Split Gibbs Discrete Diffusion Posterior Sampling

Wenda Chu, Zihui Wu, Yifan Chen et al.

NEURIPS 2025posterarXiv:2503.01161
6
citations

System-Embedded Diffusion Bridge Models

Bartlomiej Sobieski, Matthew Tivnan, Yuang Wang et al.

NEURIPS 2025posterarXiv:2506.23726
1
citations

Time-Embedded Algorithm Unrolling for Computational MRI

Junno Yun, Yasar Utku Alcalar, Mehmet Akcakaya

NEURIPS 2025posterarXiv:2510.16321
1
citations