2025 "inverse problems" Papers
15 papers found
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
Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations
David Dalton, Alan Lazarus, Hao Gao et al.
ICLR 2025poster
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
LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization
Alessio Spagnoletti, Jean Prost, Andres Almansa et al.
ICCV 2025posterarXiv:2503.12615
9
citations
Manifold Learning by Mixture Models of VAEs for Inverse Problems
Giovanni S. Alberti, Johannes Hertrich, Matteo Santacesaria et al.
ICLR 2025posterarXiv:2303.15244
11
citations
PIED: Physics-Informed Experimental Design for Inverse Problems
Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng et al.
ICLR 2025posterarXiv:2503.07070
1
citations
PRDP: Progressively Refined Differentiable Physics
Kanishk Bhatia, Felix Koehler, Nils Thuerey
ICLR 2025posterarXiv:2502.19611
1
citations
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
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
Semialgebraic Neural Networks: From roots to representations
S David Mis, Matti Lassas, Maarten V de Hoop
ICLR 2025posterarXiv:2501.01564
Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations
Abdolmehdi Behroozi, Chaopeng Shen, Daniel Kifer
ICLR 2025posterarXiv:2505.08740
5
citations
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