Parameter Identifiability

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3 papers in the last four weeks, down 50% on the four weeks before. 0.0% of all new papers.

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  1. LLM-IDEA: Identifiability-Driven Experimental Agent for Autonomous Discovery of Mechanistic World Models

    Oct 8, 2026Surya Shetty, Ulisses Braga-NetoAutonomous Scientific DiscoveryAutonomous Experimentation

    Texas A&M University · Polara Labs Inc.

  2. Informationally Decoupled Trajectory Design for Sim-to-Real System Identification

    Oct 7, 2026Sangwoo Shin, Ashvin Anilkumar, Ryan Gao +1Robot Dynamics IdentificationParameter Identifiability

    University of Wisconsin–Madison

  3. Identifiability of a dissipative knowledge-dynamics model: exact recovery under designed excitation, degeneration on observational data

    Oct 7, 2026Arman Kostanian, Armen BeklaryanParameter IdentifiabilityNonlinear System Identification

    Innopolis University, Innopolis, Russia · HSE University, Moscow, Russia

  4. On the Computational Complexity of Hidden Markov Model Identification

    Oct 6, 2026Markel Zubia, Nils JansenParameter IdentifiabilityHidden Markov Models

    Ruhr University Bochum · Radboud University Nijmegen

  5. Inferring physical fields in coupled systems with unknown parameters from incomplete observations using physics-constrained attentive neural operators

    Oct 5, 2026Shilun Wei, Xiaoqiang Sun, Wei Li +1Parameter IdentifiabilityPhysics-Informed Neural Operators

    School of Mathematics, Sun Yat-sen University, Guangzhou, China · School of Sciences, Great Bay University, Dongguan, China · John Hopcroft Center for Computer Science, School of Computer Science, Shanghai Jiao Tong University, Shanghai, China

  6. On Parameters of Nonlinear Scalar Dynamics from Video: Invariants, Calibration, and Identifiability

    Sep 30, 2026Wenjie Wang, Yuanyuan Wang, Zixiang Jiang +2Parameter EstimationParameter Identifiability

    University of Melbourne · Mohamed bin Zayed University of Artificial Intelligence · Carnegie Mellon University

  7. Blind Thermodynamic Ontology Discovery from Anonymous Experiments

    Sep 20, 2026Linzhe Zhang, Changming XuParameter IdentifiabilitySystem Identification

    Graduate School, Northeastern University.

  8. One Intervention per Component is Enough: Towards Identifiability in Linear Stochastic Dynamics from Steady State

    Sep 17, 2026Saber SalehkaleybarParameter EstimationStochastic Differential Equations

    Leiden Institute of Advanced Computer Science, Leiden University, The Netherlands

  9. Contact-Constrained Lower-Limb Joint-Offset Calibration for Humanoid Robots

    Sep 2, 2026Kaixiang Lu, Haiyu Lan, Chunxiao Qiao +5Model CalibrationHumanoid Robotics

    AGIBOT

  10. Multi-Head Self Attention is a Parameter Identification Mechanism

    Sep 1, 2026W. Ross MorrowSoftmax AttentionParameter Identifiability

  11. Foundations of Independent Component Analysis

    Aug 13, 2026Patrick ForréParameter IdentifiabilityIndependent Component Analysis

    AI4Science Lab Korteweg-de Vries Institute for Mathematics University of Amsterdam

  12. Sinkhorn Linearization and the Spectral Proxy: Unifying the Statistical and Algorithmic Theory of Feature-Parameterized Inverse Optimal Transport via a Single Spectral Sandwich

    Aug 13, 2026Han Dong, Jiaming Li, Yongqiang Gong +2Inverse Optimal TransportParameter Identifiability

    School of Medicine, Nankai University · College of Artificial Intelligence, Nankai University

  13. When Is a General Factor Distinguishable? Non-Proportionality, Stable Structure, and the Bifactor Decision

    Aug 11, 2026Jinsong ChenLatent Variable ModelsParameter Identifiability

    Faculty of Education, The University of Hong Kong

  14. Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability

    Aug 10, 2026Ashim Dhor, Pin-Yu ChenRepresentation IdentifiabilityParameter Identifiability

    1IISER Bhopal · 2IBM Research

  15. Wrong Operator or Blind Design? A Reference-Free Diagnostic for Physics-Informed Coefficient Learning

    Aug 4, 2026Eric FockParameter EstimationParameter Identifiability

    PIMENT Laboratory, Universit´e de La R´eunion, Le Tampon 97430, La R´eunion, France

  16. A Physics-Chemistry-Informed Neural Network (PCINN) for Real-Time Spatial-ALD Coverage Prediction and Reliable Kinetics Inversion

    Jul 31, 2026Ning Hu, Chang Liu, Yunlei Jiang +1Neural Surrogate ModelingParameter Identifiability

    School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou, China · Information Engineering School, Hangzhou Dianzi University, Hangzhou, China

  17. Sparsity Induced Identifiability in Matrix Tri-Factorisation

    Jul 29, 2026Tingting MuParameter IdentifiabilityMatrix Factorization

    Department of Computer Science University of Manchester Manchester M13 9PL, UK

  18. What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations

    Jul 29, 2026Kaizhen Tan, Xin Xu, Siru Tao +4Parameter IdentifiabilityPredictive Representation Learning

    New York University, New York, NY, USA · Carnegie Mellon University, Pittsburgh, PA, USA · Columbia University, New York, NY, USA

  19. Shared Symbolic Backbones for Physically Consistent Multi-Output Symbolic Regression

    Jul 29, 2026Manuel RodriguezParameter IdentifiabilityNonlinear System Identification

    Chemical and Environmental Engineering Department. Universidad Politecnica de Madrid

  20. GeoID-PINN: Identifiability-Aware Regional Epidemic Inference with Geographic Coupling

    Jul 28, 2026Weixiong Hua, Fan BuEpidemic ForecastingParameter Identifiability

    Department of Biostatistics · University of Michigan · Ann Arbor, Michigan, USA

  21. Identifiability-Aware Source Apportionment in City-Scale Advection-Diffusion Systems

    Jul 25, 2026Ankit Bhardwaj, Lakshminarayanan SubramanianParameter IdentifiabilityInverse Problems

    Department of Computer Science, New York University

  22. Beyond ICA: Identifiability by Symmetry Breaking

    Jul 25, 2026Pengzhou WuLatent Variable ModelsRepresentation Identifiability

    SANKEN, University of Osaka

  23. On the Identifiability of Controlled World Models

    Jul 24, 2026Xiangteng Zhang, Yang Guan, Bo Zhang +3Parameter IdentifiabilityLatent Dynamics Modeling

    School of Vehicle and Mobility, Tsinghua University · 2Didi Voyager Labs, Didi Autonomous Driving · School of Computing and Data Science, The University of Hong Kong +2

  24. Functional Equivalence and Geometric Diversity in Neural Network Approximations: An Empirical Characterization

    Jul 21, 2026Anuragine S A, Prem JagadeesanMultilayer PerceptronsNeural Representation Geometry

    Amrita School of Artificial Intelligence Amrita Vishwa Vidyapeetham, Coimbatore, India

  25. The Dynamics of Discoverability: How Trajectories and Priors Shape Equation Recovery

    Jul 20, 2026Matteo Gallo, Fabio Anselmi, Paolo LazzariDynamical SystemsParameter Identifiability

    University of Trieste, Trieste, Italy · National Institute of Oceanography and Applied Geophysics - OGS, Trieste, Italy · NBFC, National Biodiversity Future Center, Palermo, Italy

  26. A zero-one law for one-shot system identification

    Jul 17, 2026Nicolas Boullé, Diana Halikias, Samuel E. Otto +1Parameter IdentifiabilityPDE Discovery

    Department of Mathematics, Imperial College London, London, SW7 2AZ, UK · Courant Institute, New York University, New York, NY 10012, USA · Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA +1

  27. 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 GrassiaParameter IdentifiabilityUncertainty Quantification

    Laboratory of Innovative Technologies (LTI, EA 3899), Université de Picardie Jules Verne, Amiens, 80025, France

  28. Sensitivity to Subjective Expected Utility Maximization: A Methodological Study, with an Illustrative Application to LLM Decision-Making

    Jul 8, 2026Jeff HelznerParameter EstimationParameter Identifiability

  29. No Subspace to Track: Non-Identifiability and Optimizer State in Low-Rank Training

    Jul 7, 2026Noel ThomasDeep Learning OptimizationParameter Identifiability

    Mohamed bin Zayed University of Artificial Intelligence

  30. Lost in Time? Continuous Symmetry and Identifiability in Aided Inertial Navigation with Unknown Measurement Delays

    Jul 4, 2026Jonathan Kelly, Phone Thiha Kyaw, Mattew GiamouParameter IdentifiabilityRobot State Estimation

    Space & Terrestrial Autonomous Robotic Systems (STARS) Laboratory at the University of Toronto Institute for Aerospace Studies (UTIAS), Toronto, Canada. · Autonomous Robotics & Convex Optimization (ARCO) Laboratory in the Department of Computing and Software, McMaster University, Hamilton, Canada.