Ill-Posed Inverse Problem

Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

Period ending 2026-09-21

7 new papers

A weekly snapshot of new work published in Ill-Posed Inverse Problem.

Period ending 2026-09-14

5 new papers

A weekly snapshot of new work published in Ill-Posed Inverse Problem.

Period ending 2026-09-07

6 new papers

A weekly snapshot of new work published in Ill-Posed Inverse Problem.

Inside this field

Focused directions

247 papers

Latest in Ill-Posed Inverse Problem

Browse all topics →
CardsList

  1. When is the combined load identifiable from a stress-intensity profile? A coupled forward-inverse study on SIFBench finite-element data

    Jul 12, 2026Giansalvo Cirrincione, Filippo GrassiaInverse ProblemFinite Element Method

  2. Incremental Transformer for Surrogate-Based Inverse Design of Geopolymer Mixtures

    Jul 12, 2026Giansalvo Cirrincione, Filippo GrassiaGenerative Inverse DesignInverse Design

  3. Large language model agents accelerate inverse design of metal-organic frameworks for gas separation

    Jul 12, 2026Zhaolin Hu, Hehe Fan, Wangyihan Guo +4Large Language Model AgentsAgent Framework

  4. Robustly Invertible Nonlinear Dynamics and the BiLipREN: From Inversion-Based Control to Generative Trajectory Modelling

    Jul 10, 2026Yurui Zhang, Ruigang Wang, Ian R. ManchesterInverse DynamicsNonlinear Dynamics

  5. Statistical inverse learning and ℓ1\ell^1-regularization

    Jul 8, 2026Abhishake Rastogi, Tatiana A. Bubba, Tapio Helin +1Ill-Posed Inverse ProblemRegularization Techniques

  6. Compression Asymmetry and Trajectory Binding in Noise-Anchored Diffusion Inversion

    Jul 8, 2026Yongseong Park, Joeun Kim, HoEun Kim +1Inverse DesignGaussian Noise

  7. A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems

    Jul 7, 2026Fabian Schneider, Tapio Helin, Leila TaghizadehIll-Posed Inverse ProblemNeural-Network Approximation

  8. Target-Guided Selective Reweighting for Physics-Informed Neural Network Inverse Problems: A Transfer Learning Approach

    Jul 6, 2026Qian Hu, Bin Fan, Yao Xiao +2Conventional Physics-Informed Neural NetworksAdvection-Reaction-Diffusion

  9. Uncertainty-aware damage identification in short-span bridges via physics-informed variational autoencoder

    Jul 6, 2026Ana Fernandez-Navamuel, A. Javier Omella, Diego Zamora-Sanchez +1Structural Health MonitoringVariational Autoencoder

  10. Joint Velocity Slope Diffusion Prior for Structurally Constrained Velocity Model Building

    Jul 6, 2026Francesco Brandolin, Tariq AlkhalifahDiffusion PriorsIll-Posed Inverse Problem

  11. Transplanting, inverting, and preventing a misalignment persona: method-conditional emergent misalignment in Qwen2.5

    Jul 5, 2026Lyndon Drake, Zandi EberstadtMisalignmentLarge Language Model Alignment

  12. Generative wave propagator

    Jul 5, 2026Shijun Cheng, Tariq AlkhalifahWaveFull Waveform Inversion

  13. Data-Driven Forward and Inverse Modeling of V-Beam Thermal Sensors

    Jul 4, 2026Tudor Bartha, Radu Chiorean, Adrian GrozaGenerative Inverse DesignOptimal Sensor Placement

  14. Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data

    Jul 3, 2026Lei Sun, Yusuke Tanaka, Tomoharu IwataMeta-LearningUnlabeled Data

  15. SE-UNet: Singular Equivariant Imaging for Real-World Constrained Generation

    Jul 2, 2026Kanishk AwadhiyaLarge-Scale Image GenerationGenerative Priors

  16. Mirror Illusion Art

    Jul 2, 2026Xiaopei Zhu, Zeyuan Li, Jun Zhu +1InpaintingInverse Design

  17. High-dimensional Embedding Prior for Noisy K-space Domain MRIReconstruction

    Jul 1, 2026Yu Guan, Tianjia Huang, Qinrong Cai +3Magnetic Resonance Imaging ReconstructionIll-Posed Inverse Problem

  18. GAIA: Geometry-Adaptive Operator Learning for Forward and Inverse Problems

    Jul 1, 2026Meenakshi Krishnan, Pranav Pulijala, Ke Chen +2Ill-Posed Inverse ProblemInverse Problem

  19. Radial Interaction Tomography: Recognizing Non-Transitive Evolutionary Games from One Range-Expansion Image

    Jul 1, 2026Faruk Alpay, Baris BasaranBacterial Colony CountingBoundaries

  20. Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets

    Jun 30, 2026Vinay Kulkarni, V. V. ReddyRadarDirection-Of-Arrival Estimation

  21. CSO-LLM: Class Subspace Orthogonalization for Post-Training Backdoor Detection and Trigger Inversion in LLMs

    Jun 30, 2026Zhengxing Li, David J. Miller, Guangmingmei Yang +1Language Model Evasion AttacksBackdoor Attacks

  22. Probabilistic Inversion with Flow Matching

    Jun 30, 2026Baldur Paulwitz, Stefan BuskeIll-Posed Inverse ProblemFull Waveform Inversion

  23. Diffusion-Based Material Regularization for Physics-Based Inverse Rendering

    Jun 30, 2026Jingwang Ling, Lifan Wu, Feng Xu +1Inverse RenderingSurface Reconstruction

  24. A Distributionally Robust Framework for Learned Reconstructions in Inverse Problems

    Jun 29, 2026Floor van Maarschalkerwaart, Subhadip Mukherjee, Christoph Brune +1Ill-Posed Inverse ProblemInverse Problem

  25. Gravitational Duals from Equations of State II: Large Hierarchies and False Vacua

    Jun 29, 2026Raul Jimenez, David Mateos, Pavlos Protopapas +3Renormalization GroupIll-Posed Inverse Problem

  26. Stochastic Optimal Control Sampling for Diffusion Inverse Problems

    Jun 27, 2026Jie Zhang, Youmei Qiu, Hanling Tian +3Ill-Posed Inverse ProblemDiffusion Sampling

  27. Recovering Sharp Conductivity Features in the Finite-Data Calderón Problem with Physics-Informed Neural Networks

    Jun 26, 2026Ali AlHadi Kalout, Pablo Tejerina-Pérez, Konstantin Karchev +5Conventional Physics-Informed Neural NetworksBoundary Value Problems

  28. Inverse Design of Compact and Wideband Inverted Doherty Power Amplifiers Using Deep Learning

    Jun 25, 2026Han Zhou, Haojie Chang, David Widen +1Generative Inverse DesignUltra-Wideband

  29. Latent Diffusion Posterior Sampling with Surrogate Likelihood Guidance for PDE Inverse Problems

    Jun 25, 2026Yuanzhe Wang, Alexandre M. TartakovskyIll-Posed Inverse ProblemPosterior Sampling

  30. EvoFlock: evolved inverse design of multi-agent motion

    Jun 24, 2026Craig ReynoldsSwarmsMulti-Agent Evolution

  31. Laplace-Fisher Gate Identities for Optimal Matrix-Gated Blended Score Estimation

    Jun 23, 2026Alois Duston, Tan Bui-ThanhBiasing Score EstimationIll-Posed Inverse Problem

  32. Solving Inverse Problems of Chaotic Systems with Bidirectional Conditional Flow Matching

    Jun 23, 2026Peiyan Hu, Jian Zhang, Jiashu Pan +6Ill-Posed Inverse ProblemChaos

  33. TRACER: Training-Free Closed-Loop Structured Inference for Traffic Accident Reconstruction

    Jun 23, 2026Yanchen Guan, Chengyue Wang, Bin Rao +5AccidentsIll-Posed Inverse Problem

  34. What Do Flow-Based Inverse Solvers Approximate? A Posterior-Transport View

    Jun 23, 2026Jian Xu, Delu Zeng, John Paisley +1Ill-Posed Inverse ProblemPosterior Sampling

  35. What Do Language Priors Contribute to Darcy-Flow Inversion? A Mechanistic Audit

    Jun 23, 2026Taiga Saito, Yu Otake, Daijiro Mizutani +1Ill-Posed Inverse ProblemGeological Semantic Understanding

  36. Flow Annealing Posterior Sampling for Function-Space Regression and Inverse Problems

    Jun 21, 2026Yaozhong Shi, Zachary E. Ross, Yisong YuePosterior SamplingIll-Posed Inverse Problem

  37. Don't Blindly Trust It: How Unreliable Feedback Breaks Tool-Using LLM Agents

    Jun 19, 2026Chubin Zhang, Zhenglin Wan, Xingrui Yu +5Multi-Turn Tool-Use AgentAgentic Evaluations

  38. Inverting the Bellman Equation: From QQ-Values to World Models

    Jun 19, 2026Alistair Letcher, Mattie Fellows, Alexander D. Goldie +3Model-Free Reinforcement LearningGoal-Conditioned Reinforcement Learning

  39. ShuffleFlow: Scalable Posterior Inference for Bayesian Inverse Imaging

    Jun 19, 2026Tianao Li, Tjitske Starkenburg, Yu Sun +1Image ReconstructionIll-Posed Inverse Problem

  40. Neural network surrogates with uncertainty quantification for inverse problems in partial differential equations

    Jun 18, 2026Christian Jimenez-Beltran, Aretha L. Teckentrup, Antonio Vergari +1Inverse ProblemPartial Differential Equations

  41. Flow Map Denoisers: Traversing the Distortion-Perception Plane for Inverse Problems

    Jun 18, 2026Nicolas Zilberstein, Morteza Mardani, Santiago SegarraIll-Posed Inverse ProblemImage Restoration

  42. Aerial-ground LiDAR place recognition with patch-level self-supervised learning and expanded reciprocal re-ranking

    Jun 17, 2026Yandi Yang, Xianghong Zou, Jianping Li +4LidarVisual Place Recognition

  43. Horizon-Uniform Sensitivity Certificates for Finite-Horizon Pontryagin Systems

    Jun 16, 2026Pyuyi Chufeng Huang, Zikang Song, Xingshu ChenLyapunov FunctionExponential Horizon Dependence

  44. Exact Posterior Score Estimation for Solving Linear Inverse Problems

    Jun 15, 2026Abbas Mammadov, Ozgur Kara, Kaan Oktay +5Ill-Posed Inverse ProblemPosterior Sampling

  45. The Complexity of Min-Max Optimization for Quadratic Polynomials

    Jun 15, 2026Martino Bernasconi, Matteo Castiglioni, Andrea Celli +1Np-HardPolynomials

  46. Latent Space Reinforcement Learning for Inverse Material Estimation in Food Fracture Simulation

    Jun 15, 2026Adrian Ramlal, Yuhao Chen, John S. ZelekInverse ProblemInverse Design

  47. A Perception vs. Distortion Perspective on Score-Based Generative Channel Estimation

    Jun 15, 2026Marco Skocaj, Lukas Eller, Mate BobanJoint Channel EstimationBeamforming

  48. Variance Reduction for Non-Log-Concave Sampling with Applications to Inverse Problems

    Jun 15, 2026M. Berk Sahin, Ahmet Ege Tanriverdi, Behzad Sharif +1Non-Log-ConcaveVariance Reduction

  49. Machine learning enables roughness-driven inverse design of milling processes

    Jun 14, 2026Hadi Bakhshan, Sima Farshbaf, Fernando Rastellini +1Generative Inverse DesignMachine Learning

  50. From Prompts to Responses: Dual-Sided Data Leakage and Defense in Split Large Language Models

    Jun 12, 2026Zixuan Gu, Xiaojun Ye, Yang LiuLanguage Model Evasion AttacksData Leakage

  51. Decoupled Latent Optimization of Diffusion Models for Full Waveform Inversion

    Jun 12, 2026Chen Min, Zheng MaIll-Posed Inverse ProblemDiffusion Priors

  52. Full-Self Diagnostics (FSD): Physics-Grounded Visual Biomarker Inference from Smartphone Video via Inverse Problems and Operator Learning

    Jun 11, 2026Jonathan Thomas, Harsh ThakerPhysiological DataBiomarker

  53. Bridging data-driven priors via the score function for posterior sampling -- Comparative review and experimental study

    Jun 11, 2026Elhadji Cisse Faye, Mame Diarra Fall, Sylvain Delchini +1Posterior SamplingIll-Posed Inverse Problem

  54. Physics-Informed Neural Networks and Radial Basis Functions for PDEs with Dirac Delta Sources

    Jun 10, 2026Manuel Reyna, Alexandre TartakovskyConventional Physics-Informed Neural NetworksRadial Basis Function

  55. A Stabilized Path-Space Approach to Diffusion-Based Posterior Sampling

    Jun 10, 2026Evan Scope Crafts, Umberto Villa, Saviz Mowlavi +3Posterior SamplingDiffusion Sampling

  56. Adjoint Method versus Physics-Informed Neural Networks in PDE-Constrained Inverse Problems

    Jun 10, 2026Zhen Zhang, Alessandro Alla, George Em KarniadakisConventional Physics-Informed Neural NetworksIll-Posed Inverse Problem

  57. Unsupervised Style Representation Learning for AI-Text Detection via Paraphrase Inversion

    Jun 8, 2026Rafael Rivera Soto, Barry Chen, Nicholas AndrewsMachine-Generated Text DetectionAuthorship

  58. Physics-Guided Sequence-Based Generative Framework for Acoustic Metamaterial Inverse Design

    Jun 8, 2026Yijie Li, Jiahao Xu, Ching-Chih Tsao +2MetamaterialsAcoustic

  59. Integrating Out, Twice:The Open-System Case That Neural-Network Ensemble Theory Is Missing

    Jun 8, 2026Jin LeiNeural Tangent KernelNuclear Data

  60. From inverse problems to neural operators: prediction, mechanism, and generalization of data-driven models

    Jun 8, 2026Conor RowanNeural OperatorsNeural Ordinary Differential Equations