Ill-Posed Inverse Problem

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  1. Beyond MMSE: Enhancing PnP Restoration with ProxiMAP

    May 12, 2026Kenta Vert, Giacomo Meanti, Scott Pesme +2Image DenoisingInverse Problem

  2. Improving Diffusion Posterior Samplers with Lagged Temporal Corrections for Image Restoration

    May 12, 2026Davide Evangelista, Elena Morotti, Francesco Pivi +1Posterior SamplingDiffusion Sampling

  3. hh-control: Training-Free Camera Control via Block-Conditional Gibbs Refinement

    May 12, 2026Yuzhu Wang, Xi Ye, Duo Su +2Camera ControlControllable Video Generation

  4. Stop Marginalizing My Dreams: Model Inversion via Laplace Kernel for Continual Learning

    May 12, 2026Patryk Krukowski, Jacek Tabor, Przemysław Spurek +2Efficient Continual LearningContinual Learning Methods

  5. Principled Design of Diffusion-based Optimizers for Inverse Problems

    May 12, 2026Julio Oscanoa, Irmak Sivgin, Cagan Alkan +4Score-Based Diffusion ModelIll-Posed Inverse Problem

  6. A Stability Benchmark of Generative Regularizers for Inverse Problems

    May 11, 2026Alexander Denker, Johannes Hertrich, Sebastian NeumayerIll-Posed Inverse ProblemInverse Problem

  7. Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View

    May 11, 2026Jinping Wang, Zixin Tong, Zhiwu Xie +1Loss FunctionNeural Collapse

  8. Enabling Structure-Only Initialization and Out-of-Distribution Generalization in GNN-based Molecular Dynamics Simulators

    May 10, 2026S. A. Shteingolts, Salman N. Salman, Dan MendelsMolecular DynamicsInverse Design

  9. Inverse Design of Metainterfaces for Static Friction Control: Beyond the Hertzian Limit

    May 10, 2026Jacopo Bilotto, Arnav Singhal, Joaquin Garcia-Suarez +3FrictionInverse Design

  10. Outlier-Robust Diffusion Solvers for Inverse Problems

    May 10, 2026Yang Zheng, Jiahua Liu, Tongyao Pang +2Ill-Posed Inverse ProblemInverse Problem

  11. Inverse Design for Conditional Distribution Matching

    May 10, 2026Ori Meidler, Shaul Tolkovsky, Or ZukGenerative Inverse DesignConditional Distribution

  12. Discrete Langevin-Inspired Posterior Sampling

    May 10, 2026Chaitanya Amballa, Sattwik Basu, Jorge Vančo Sampedro +1Posterior SamplingIll-Posed Inverse Problem

  13. FlowADMM: Plug-and-play ADMM with Flow-based Renoise-Denoise Priors

    May 9, 2026Hendrik Sommerhoff, Michael MoellerIll-Posed Inverse ProblemImage Denoising

  14. P-Flow: Proxy-gradient Flows for Linear Inverse Problems

    May 8, 2026Zehua Jiang, Fenghao Zhu, Xinquan Wang +2Ill-Posed Inverse ProblemInverse Problem

  15. Consistency Regularised Gradient Flows for Inverse Problems

    May 8, 2026Alessio Spagnoletti, Tim Y. J. Wang, Marcelo Pereyra +1Ill-Posed Inverse ProblemInverse Problem

  16. Bayesian Rain Field Reconstruction using Commercial Microwave Links and Diffusion Model Priors

    May 6, 2026Badr Moufad, Albina Ilina, Hai Victor Habi +4PrecipitationDiffusion Priors

  17. Inverse Design of Multi-Layer Sub-Pixel-Resolution RF Passives Through Grayscale Diffusion with Flexible S-Parameter Conditioning

    May 6, 2026Tommaso Dreossi, Christopher M. Bryant, Hao Liu +4Generative Inverse DesignAnd Mixed-Signal Circuits

  18. Conditional Diffusion Under Linear Constraints: Langevin Mixing and Information-Theoretic Guarantees

    May 6, 2026Ahmad Aghapour, Erhan Bayraktar, Asaf CohenIll-Posed Inverse ProblemLangevin Dynamics

  19. A Deeper Dive into the Irreversibility of PolyProtect: Making Protected Face Templates Harder to Invert

    May 5, 2026Vedrana Krivokuća Hahn, Jérémy Maceiras, Sébastien MarcelBiometricsFacial Recognition

  20. Neighbor2Inverse: Self-Supervised Denoising for Low-Dose Region-of-Interest Phase Contrast CT

    May 1, 2026Johannes B. Thalhammer, Lorenzo D'Amico, Lucy Costello +11Low-Dose Computed TomographyAdaptive Histogram Equalization

  21. Residual-loss Anomaly Analysis of Physics-Informed Neural Networks: An Inverse Method for Change-point Detection in Nonlinear Dynamical Systems with Regime Switching

    Apr 28, 2026Yuhe Bai, Chengli Tan, Jiaqi Li +2Change-Point DetectionNonlinear Dynamics

  22. Jailbreaking Frontier Foundation Models Through Intention Deception

    Apr 27, 2026Xinhe Wang, Katia Sycara, Yaqi XieLarge Language Model JailbreaksJailbreaks

  23. IntentVLM: Open-Vocabulary Intention Recognition through Forward-Inverse Modeling with Video-Language Models

    Apr 27, 2026Hamed Rahimi, Clemence Grislain, Adrien Jacquet Cretides +2Human-Robot InteractionVideo-Language Models

  24. On the Existence of an Inverse Solution for Preference-Based Reductions in Argumentation

    Apr 24, 2026Alessio Zaninotto, Bruno Yun, Nir Oren +1Abstract ArgumentationPairwise Preferences

  25. Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies

    Apr 23, 2026Chris Schneider, Philipp Schoenegger, Ben BariachPersonalizationLow-Rank Adaptation Adapters

  26. Optimizing Diffusion Priors in Image Reconstruction from a Single Observation

    Apr 22, 2026Frederic Wang, Katherine L. BoumanDiffusion PriorsIll-Posed Inverse Problem

  27. Deep Image Prior for photoacoustic tomography can mitigate limited-view artifacts

    Apr 21, 2026Hanna Pulkkinen, Jenni Poimala, Leonid Kunyansky +2Image ReconstructionInverse Design

  28. One-Step Diffusion with Inverse Residual Fields for Unsupervised Industrial Anomaly Detection

    Apr 20, 2026Boan Zhang, Wen Li, Guanhua Yu +3Zero-Shot Anomaly DetectionDiscrete Diffusion Model

  29. An `Inverse' Experimental Framework to Estimate Market Efficiency

    Apr 20, 2026Thomas Asikis, Heinrich H. NaxMatching MarketsMarket

  30. Uncertainty Quantification in PINNs for Turbulent Flows: Bayesian Inference and Repulsive Ensembles

    Apr 18, 2026Khemraj Shukla, Zongren Zou, Theo Kaeufer +2Conventional Physics-Informed Neural NetworksTurbulence

  31. Noise-Adaptive Diffusion Sampling for Inverse Problems Without Task-Specific Tuning

    Apr 18, 2026Yingzhi Xia, Setthakorn Tanomkiattikun, Liangli Zhen +1Ill-Posed Inverse ProblemInverse Problem

  32. SPLIT: Self-supervised Partitioning for Learned Inversion in Nonlinear Tomography

    Apr 17, 2026Markus Haltmeier, Lukas Neumann, Nadja Gruber +1Image ReconstructionIll-Posed Inverse Problem

  33. Learning Affine-Equivariant Proximal Operators

    Apr 16, 2026Oriel Savir, Zhenghan Fang, Jeremias SulamExact EquivarianceProbabilistic Operator Learning

  34. Beyond Prompts: Unconditional 3D Inversion for Out-of-Distribution Shapes

    Apr 16, 2026Victoria Yue Chen, Emery Pierson, Léopold Maillard +13D Generative ModelsGenerative Models

  35. ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics

    Apr 1, 2026Zeyu Xia, Tyler Kim, Trevor Reed +3High Energy PhysicsPhysics-Informed Machine Learning

  36. Generative Inverse Design with Abstention via Diagonal Flow Matching

    Mar 16, 2026Miguel de Campos, Werner Krebs, Hanno GottschalkGenerative Inverse DesignInverse Design

  37. Deep Invertible Autoencoders for Dimensionality Reduction of Dynamical Systems

    Mar 13, 2026Nicolò Botteghi, Silke Glas, Christoph BruneReduced-Order ModelsMasked Autoencoders

  38. Joint 3D Gravity and Magnetic Inversion via Rectified Flow and Ginzburg-Landau Guidance

    Mar 6, 2026Dhruman Gupta, Yashas Shende, Aritra Das +2Sub-Surface Mineral Prospectivity ModellingIll-Posed Inverse Problem

  39. Task Parameter Extrapolation via Learning Inverse Tasks from Forward Demonstrations

    Mar 5, 2026Serdar Bahar, Fatih Dogangun, Matteo Saveriano +2ImitationInverse Design

  40. 3D Field of Junctions: A Noise-Robust, Training-Free Structural Prior for Volumetric Inverse Problems

    Mar 2, 2026Narges Moeini, Namhoon Kim, Justin Romberg +1VolumeImage Denoising

  41. Estimation of instrument and noise parameters for inverse problem based on prior diffusion model

    Feb 12, 2026Jean-François GiovannelliPosterior SamplingInverse Problem

  42. A Gibbs posterior sampler for inverse problem based on prior diffusion model

    Feb 11, 2026Jean-François GiovannelliPosterior SamplingGibbs Measures

  43. Stability and Concentration in Nonlinear Inverse Problems with Block-Structured Parameters: Lipschitz Geometry, Identifiability, and an Application to Gaussian Splatting

    Feb 10, 2026Joe-Mei Feng, Hsin-Hsiung KaoIll-Posed Inverse ProblemGaussian Splatting

  44. Score-based diffusion models for severely ill-posed problems in diffuse optical tomography

    Feb 3, 2026Fabian Schneider, Meghdoot Mozumder, Konstantin Tamarov +4Ill-Posed Inverse ProblemScore-Based Diffusion Model

  45. Variational Sparse Paired Autoencoders (vsPAIR) for Inverse Problems and Uncertainty Quantification

    Feb 3, 2026Jack Michael Solomon, Rishi Leburu, Matthias ChungVariational AutoencoderInverse Problem

  46. Rectification Reimagined: A Unified Mamba Model for Image Correction and Rectangling with Prompts

    Dec 21, 2025Linwei Qiu, Gongzhe Li, Xiaozhe Zhang +2RectificationImage Restoration

  47. Learned iterative networks: An operator learning perspective

    Dec 9, 2025Andreas Hauptmann, Ozan ÖktemImage ReconstructionProbabilistic Operator Learning

  48. InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem

    Dec 5, 2025Yeobin Hong, Suhyeon Lee, Hyungjin Chung +1Pre-Trained Video Diffusion ModelsInpainting

  49. Understanding the Effects of Distractors on Reasoning Vision-Language Models

    Nov 26, 2025Jiyun Bae, Hyunjong Ok, Sangwoo Mo +1Large Vision Language ModelsDistractor

  50. Jacobian-Aware Posterior Sampling for Inverse Problems

    Nov 23, 2025Liav Hen, Tom Tirer, Raja Giryes +1Posterior SamplingDenoising Diffusion Probabilistic Model

  51. DAPS++: Rethinking Diffusion Inverse Problems with Decoupled Posterior Annealing

    Nov 21, 2025Hao Chen, Renzheng Zhang, Scott S. HowardDiffusion PriorsIll-Posed Inverse Problem

  52. Inverse Problem for Partial Differential Equations with Jump Discontinuities in Coefficients by Two-stage Physics-Informed Deep Learning and Statistical Mixture Models

    Oct 16, 2025Zhikun Zhang, Guanyu Pan, Xiangjun Wang +2Physics-Informed Machine LearningPartial Differential Equations

  53. MACS: Measurement-Aware Consistency Sampling for Inverse Problems

    Oct 2, 2025Amirreza Tanevardi, Pooria Abbas Rad Moghadam, Seyed Mohammad Eshtehardian +2Ill-Posed Inverse ProblemDiffusion Sampling

  54. Flow-Matching Guided Deep Unfolding for Hyperspectral Image Reconstruction

    Oct 2, 2025Yi Ai, Yuanhao Cai, Yulun Zhang +2Deep Unfolding NetworksHyperspectral Imaging

  55. A Gradient Flow Approach to Solving Inverse Problems with Latent Diffusion Models

    Sep 23, 2025Tim Y. J. Wang, O. Deniz AkyildizLatent Diffusion ModelIll-Posed Inverse Problem

  56. Breaking the Weak Recovery Limit in Random Phase Retrieval with Learned Regularizers

    Sep 18, 2025Stanislas Ducotterd, Zhiyuan Hu, Michael Unser +1Sparse RecoveryIll-Posed Inverse Problem

  57. Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems

    Aug 5, 2025Jan Tauberschmidt, Sophie Fellenz, Sebastian J. Vollmer +1Ill-Posed Inverse ProblemInverse Problem

  58. A Morse-Bott Framework for Blind Inverse Problems: Local Recovery Guarantees and the Failure of the MAP

    Aug 4, 2025Minh-Hai Nguyen, Edouard Pauwels, Pierre WeissIll-Posed Inverse ProblemMaximum Likelihood

  59. ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning

    Jun 9, 2025Ziwen Wang, Jiajun Fan, Ruihan Guo +3Protein DesignProtein

  60. InverseScope: Scalable Activation Inversion for Interpreting Large Language Models

    Jun 9, 2025Yifan Luo, Zhennan Zhou, Bin DongModel ActivationsModel Interpretability