inverse problem

Adaptive Fourier Decomposition-guided Neural Operator Design for Inverse PDE Problems UAI 2026 Autocorrelation-based Fiducial Markers for Traceability WACV 2026 Brain Tumor Growth Inversion via Differentiable Neural Surrogates MIDL 2026 Conditional Learned Reconstruction for Medical Imaging MIDL 2026 Conditional neural control variates for variance reduction in Bayesian inverse problems UAI 2026 Constrained Particle Seeking: Solving Diffusion Inverse Problems with Just Forward Passes AAAI 2026 Dual Ascent Diffusion for Inverse Problems CVPR 2026 Dynamic Black-hole Emission Tomography with Physics-informed Neural Fields CVPR 2026 Efficient Unrolled Networks for Large-Scale 3D Inverse Problems CVPR 2026 FluenceFormer: Transformer-Driven Multi-Beam Fluence Map Regression for Radiotherapy Planning MIDL 2026 FourierPET: Deep Fourier-based Unrolled Network for Low-count PET Reconstruction AAAI 2026 Generative Diffusion Priors for 3D Mapping of the Dark Universe CVPR 2026 GSNR: Graph Smooth Null-Space Representation for Inverse Problems CVPR 2026 KLIP: Localized Distribution Shift Detection via KL-Divergence with Diffusion Priors in Inverse Problems CVPR 2026 On the Dataless Training of Neural Networks AAAI 2026 Outlier-Robust Diffusion Solvers for Inverse Problems CVPR 2026 PnP-CM: Consistency Models as Plug-and-Play Priors for Inverse Problems CVPR 2026 Solving a Nonlinear Blind Inverse Problem for Tagged MRI with Physics and Deep Generative Priors CVPR 2026 Unsupervised Multi-Parameter Inverse Solving for Reducing Ring Artifacts in 3D X-Ray CBCT AAAI 2026 Unsupervised Single-Channel Audio Separation with Diffusion Source Priors AAAI 2026 Variance Reduction for Non-Log-Concave Sampling with Applications to Inverse Problems UAI 2026 Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data ICLR 2025 A Mixture-Based Framework for Guiding Diffusion Models ICML 2025 A statistical perspective on algorithm unrolling models for inverse problems JMLR 2025 Augmenting Perceptual Super-Resolution via Image Quality Predictors CVPR 2025