Identifiability

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16 papers in the last four weeks, up 167% on the four weeks before. 0.2% of all new papers.

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

    Sep 30, 2026Wenjie Wang, Yuanyuan Wang, Zixiang Jiang +2System IdentificationIdentifiability

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

  2. Identifiability Guarantees for Drivers and Dynamics of Delayed Physical Systems

    Sep 29, 2026Julien Boussard, Antoine Debouchage, Théo SaulusIdentifiabilityOrdinary Differential Equations

    School of Computer Science, McGill University, Canada · Mila - Quebec AI Institute, Canada · LaMMe, Université Évry Paris-Saclay, France +1

  3. Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance

    Sep 29, 2026Fabian A. Mikulasch, Friedemann ZenkeLatent PredictionIdentifiability

    Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland · Faculty of Science, University of Basel, Switzerland

  4. Beyond Gradient Flow: Identifiability and Recovery from Distribution Snapshots

    Sep 28, 2026Nam D. Nguyen, Valeriya MalyshevaFokker--Planck EquationSnapshots

    VIB, Center for Molecular Neurology, Antwerp, Belgium · VIB, Center for AI and Computational Biology, Leuven, Belgium · Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Antwerp, Belgium +2

  5. On Parameter Symmetries and Conservation Laws in Gradient Flow

    Sep 28, 2026Khang Nguyen, Guido MontúfarSymmetryGradient

    UCLA · UCLA & MPI MiS

  6. Finite Probes Suffice: Identifiability and Universality for Weight-Space Learning

    Sep 27, 2026Soutrik Sarangi, Yonatan Sverdlov, Adir Dayan +2Neural NetworkHidden States

    Microsoft · Faculty of Mathematics, Technion – Israel Institute of Technology · Faculty of Electrical and Computer Engineering, Technion – Israel Institute of Technology +1

  7. Sparsity by Default: The Theory and Practice of ARD in Gaussian Process Regression for Variable Selection

    Sep 27, 2026Jia CaiGaussian ProcessSparsity

    Department of Statistics, George Mason University, Fairfax, Virginia/USA

  8. Towards Identifiable Representations under Misspecified Structure

    Sep 27, 2026Yuke Li, Yujia Zheng, Ziyi Chen +2IdentifiabilityLatent Variable

    University of Maryland College Park, College Park, MD, USA · Carnegie Mellon University, Pittsburgh PA, USA

  9. GroundedGEO: Auditing the Evidence Gap in Generative Search Rankings

    Sep 21, 2026Yihan Xia, Huiling Fan, Kangrong Zhong +1Evidence-Grounded QuestionsEvidence Conflict

    Shenzhen University Shenzhen, China

  10. Testing, not presuming, adequacy: calibrating generative social simulators against emergent network structure

    Sep 21, 2026Tengfei Shao, Chao Li, Xu Wang +1Scaling Improve Social SimulationNetwork Science

    Global Education Center, Waseda University, Tokyo, Japan · Department of Industrial and Management Systems Engineering, Waseda University, Tokyo, Japan · School of Informatics, Gunma University, Gunma, Japan

  11. Blind Thermodynamic Ontology Discovery from Anonymous Experiments

    Sep 20, 2026Linzhe Zhang, Changming XuThermodynamicsStatistical Physics

    Graduate School, Northeastern University.

  12. Discovering Physical Representation Languages

    Sep 20, 2026Linzhe Zhang, Changming XuIdentifiabilityPhysics-Aware Models

    Graduate School, Northeastern University.

  13. Epidemiological Causal Graph Identification: Challenges, Identifiability and Algorithms

    Sep 17, 2026Sambit Mishra, Yingying Wang, Christine K. Johnson +1Causal Discovery MethodsCausal Graph

    University of Southern California · University of California, Davis

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

    Sep 17, 2026Saber SalehkaleybarIdentifiabilityStochastic Differential Equations

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

  15. On the Identifiability of Mixed Ordinal and Exponential Family Causal DAGs under Linear Parametric Models

    Sep 16, 2026Sambit Mishra, Urbashi MitraLinear Structural Equation ModelsIdentifiability

    Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los Angeles, CA 90089, USA

  16. Identifiability of Nonnegative Tensor Decompositions via Positive Scattering

    Sep 10, 2026Haoming Wang, Ming YuanTensor DecompositionIdentifiability

    Columbia University

  17. Resolution-Aware Experimental Design under Partial Identifiability

    Sep 3, 2026Sofianos Panagiotis FotiasBayesian Experimental DesignIdentifiability

    National Technical University of Athens

  18. Privacy Leakage in Federated Learning: Gradient-Based Client Identity Inference and Defenses for Inertial Sensing in Vehicular Edge Networks

    Sep 2, 2026Ali Akarma, Toqeer Ali Syed, Muhammad Khan +2Federated LearningPrivacy

    Islamic University of Madinah, Madinah, Saudi Arabia · King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia · AI Center, Faculty of Computer and Information Systems Islamic University of Madinah, Madinah 42351, Saudi Arabia +2

  19. Beyond Local Accuracy: A Protocol-Level Identifiability Audit for Controlled LLM Reasoning Evaluation

    Aug 13, 2026Junhao Luo, Ning Huang, Ziqi Sha +2Evaluation ProtocolsModel Auditing

    School of Statistics and Data Science, Southwestern University of Finance and Economics · School of Statistics and Data Science, Southwestern University of Finance and Economics Chengdu, China

  20. Foundations of Independent Component Analysis

    Aug 13, 2026Patrick ForréIndependent Component AnalysisIdentifiability

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

  21. Operationalising Relative Causal Knowledge: Backbone Identifiability from Private Reports on a Shared Outcome

    Aug 11, 2026Fabrizio Russo, Mark SomersCausal Discovery MethodsIdentifiability

    Department of Computing, Imperial College London · London, UK · Fifty One Degrees Ltd

  22. Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability

    Aug 10, 2026Ashim Dhor, Pin-Yu ChenMechanistic InterpretabilityInterpretability

    1IISER Bhopal · 2IBM Research

  23. From Optimal Actions to World Models: Identifiability of Transition Kernels in Discounted MDPs

    Aug 7, 2026Neal BatraMarkov Decision ProcessesTransition Learning

    Dovetail Research · University of Warwick

  24. Innovation-Residual Auditing of Autonomous Analysis Agents: Localization, Detection Limits, Error Control, and Identifiability

    Aug 6, 2026Ahmed Hassoon, Mark DredzeModel AuditingRobustness Verification

    Johns Hopkins University

  25. An Identifiability Theory of Masked Prediction: Mode Blindness and Mask Schedules

    Aug 2, 2026Yichao Cai, Javen Qinfeng ShiIdentifiabilityPredictability

    Australian Institute for Machine Learning, Adelaide University · Responsible AI Research Centre

  26. Spatiotemporal Proximal Causal Inference under Hidden Confounding and Interference

    Aug 2, 2026Omar Faruque, Pavan Raj Ravi, Jianwu WangLatent ConfoundersIdentifiability

    University of Maryland, Baltimore County

  27. Sparsity Induced Identifiability in Matrix Tri-Factorisation

    Jul 29, 2026Tingting MuRestricted Bernoulli Matrix FactorizationSparsity

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

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

    Jul 29, 2026Kaizhen Tan, Xin Xu, Siru Tao +4Latent World ModelsIdentifiability

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

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

    Jul 25, 2026Ankit Bhardwaj, Lakshminarayanan SubramanianAir PollutionIdentifiability

    Department of Computer Science, New York University

  30. Beyond ICA: Identifiability by Symmetry Breaking

    Jul 25, 2026Pengzhou WuIdentifiabilityIndependent Component Analysis

    SANKEN, University of Osaka

  31. On the Identifiability of Controlled World Models

    Jul 24, 2026Xiangteng Zhang, Yang Guan, Bo Zhang +3Latent World ModelsControllability

    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

  32. Learning Bidirectional Causal Interactions with Heteroscedastic Neural Networks

    Jul 24, 2026Masahiro TanakaLinear Structural Equation ModelsHeteroskedasticity

    Faculty of Economics, Fukuoka University, Fukuoka, Japan

  33. Equilibrium Causal Games: Separation, Identification, and the Identifiability of Cyclic Latent States

    Jul 21, 2026Faraz Dadgostari, Neda NazemiCausalIdentifiability

    Department of Mechanical & Industrial Engineering, Montana State University · Gianforte School of Computing, Montana State University

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

    Jul 21, 2026Anuragine S A, Prem JagadeesanNeural ApproximationsApproximation

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

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

    Jul 20, 2026Matteo Gallo, Fabio Anselmi, Paolo LazzariIdentifiabilitySymbolic Regression

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

  36. Semi-Supervised Conditional Diffusion via Label Augmentation

    Jul 18, 2026Jin Su, Yuan Gao, Yong Zhou +1Text-Conditioned Diffusion ModelDiffusion Models

    aDepartment of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China · bSchool of Statistics and Data Science, Nankai University, Tianjin, China · cSchool of Statistics, East China Normal University, Shanghai, China +1

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

    Jul 8, 2026Jeff HelznerUtility MaximizationUncertainty Score

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

    Jul 7, 2026Noel ThomasLow-Rank StructureAdaptive Optimizers

    Mohamed bin Zayed University of Artificial Intelligence

  39. Routing Anonymity and Identifiability of Noisy Quantum Hardware

    Jul 6, 2026Ben Priestley, Mina DoostiAnonymizationIdentifiability

    Centre for Quantum Information and Foundations, DAMTP, University of Cambridge · Quantum Software Lab, School of Informatics, University of Edinburgh

  40. Identifiability of Relational Queries in Multi-View Pretraining

    Jul 6, 2026Ratan Bahadur Thapa, Daniel HernándezIdentifiabilityQueries

    Analytic Computing, KI, University of Stuttgart, Stuttgart, Germany

  41. Reliability and Identifiability in Persona-Trained Monte Carlo: Variance Decomposition, Stability Bounds, and the Identifiability of Heterogeneous News Reaction

    Jul 6, 2026Salavat IshbulatovMonte CarloBias-Variance Decomposition

    Independent researcher

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

    Jul 4, 2026Jonathan Kelly, Phone Thiha Kyaw, Mattew GiamouInertial Navigation SystemsState 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.

  43. On the Identifiability of Aided Inertial Navigation Under Measurement Delays: A Geometric Approach

    Jun 28, 2026Jonathan KellyInertial Navigation SystemsIdentifiability

  44. Disentangling Continuous-Time Latent Dynamics: Identifiability of Latent SDEs via Diffusion Shifts

    Jun 26, 2026Yuanyuan Wang, Wenjie Wang, Haoxuan Li +2IdentifiabilityLatent Dynamics

    Mohamed bin Zayed University of Artificial Intelligence · The University of Melbourne · Peking University +1

  45. Recovering Governing Equations from Solution Data: Identifiability Bounds for Linear and Nonlinear ODEs

    Jun 25, 2026Yang Pan, Helmut BölcskeiOrdinary Differential EquationsIdentifiability

  46. LLM-ACES: Closed-Loop Discovery of Dynamical Systems with LLM-Guided Adaptive Search

    Jun 23, 2026Nikhil Abhyankar, Sha Li, Sanchit Kabra +3Dynamical SystemsClosed Loop

    Virginia Tech

  47. Unsupervised Disentanglement Without Compromises : How Functional Orthogonality Enforces Identifiability

    Jun 19, 2026Mathieu Cyrille Simon, Pascal Frossard, Christophe De VleeschouwerIdentifiabilityOrthogonality

    1UCLouvain, ICTEAM, Louvain-la-Neuve, Belgium · 2EPFL, LTS4 laboratory, Lausanne, Switzerland.

  48. Concept Modulation Models: A Unified Framework for Identifiability and Extrapolation

    Jun 16, 2026Soheun Yi, Yizhou Lu, Chandler Squires +1IdentifiabilityLatent Variable

    Department of Statistics and Data Science, Carnegie Mellon University · Machine Learning Department, Carnegie Mellon University

  49. Physics-Informed Neural Networks for Chemotherapy Pharmacokinetics: Benchmarking the Clinical Estimator and Exposing Parameter Identifiability

    Jun 10, 2026Riya Bisht, Dhruv AgarwalPharmacokineticsKinetics

  50. Identifiability Without Gaussianity: Symbolic World Models and Near-Infinite Temporal Consistency

    Jun 9, 2026Seth Dobrin, Łukasz ChmielIdentifiabilityLatent Dynamics

    1ARYA Labs, PBC

  51. Input-schema identifiability limits in physics-informed surrogates for mechanics-governed flow

    Jun 8, 2026Daniel Cieslak, Andrzej CzyzewskiSurrogate ModelsIdentifiability

    Gdańsk University of Technology, Gdańsk, Poland

  52. Computational Identifiability

    Jun 8, 2026Lucius E. J. Bynum, Rajesh Ranganath, Kyunghyun ChoIdentifiabilityFinite-Sample

    New York University

  53. When Are Neural Interaction Discoveries Real? Identifiability, Recoverability, and a Pre-Fit Diagnostic

    Jun 7, 2026Valentina Kuskova, Dmitry Zaytsev, Michael CoppedgeIdentifiabilityInteraction Prediction

    Lucy Family Institute for Data & Society · University of Notre Dame · Notre Dame, IN, USA +1

  54. Identifiability and Estimation for Unlabeled Finite Mixtures under Marginal Independence

    Jun 6, 2026Takafumi Kanamori, Yushi Hirose, Shohei YamamotoMixture ModelsIdentifiability

    Department of Mathematical and Computing Science, Institute of Science Tokyo · RIKEN Center for Advanced Intelligence Project

  55. RedditPersona: A Modular Framework for Community-Conditioned LLM Adaptation from Reddit

    Jun 4, 2026Amirhossein Ghaffari, Ali Goodarzi, Huong Nguyen +3Large Language Model AdaptationPersona Consistency

    Future Computing Group University of Oulu Oulu, Finland · Centre for Applied Computing University of Oulu Oulu, Finland

  56. Identifiable Markov Switching Models with Instantaneous Effects and Exponential Families

    Jun 1, 2026Roel Hulsman, Carles Balsells-Rodas, Sara MagliacaneCausal Discovery MethodsIdentifiability

    University of Amsterdam · 2Adyen · 3Imperial College London +1

  57. A Fiber Criterion for Representation Identifiability in Supervised Learning

    May 31, 2026Vasileios SevetlidisIdentifiabilitySemi-Supervised Learning

    Athena Research Center, Kimmeria Campus, Xanthi, Greece · Democritus University of Thrace, Vas. Sofias Campus, Xanthi, Greece · International Hellenic University, Serres, Greece

  58. Physics from Video: Identifiability of Time-Invariant Second-Order ODEs under Minimal Trajectory Conditions

    May 27, 2026Yuanyuan Wang, Wenjie Wang, Kun Zhang +1IdentifiabilityOrdinary Differential Equations

    Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE · University of Melbourne, Melbourne, Australia · Carnegie Mellon University, Pittsburgh, USA

  59. Iterative Causal Discovery: Per-Edge Impossibility Certificates, Tier-Aware Oracle Queries, and the 1+K1+K Lower Bound

    May 26, 2026Eichi UeharaCausal Discovery MethodsIdentifiability

    aflo, Inc., Tokyo, Japan

  60. The Need for an External Observer Formalizing the Sufficiency Gap: A Mathematical Extension of Mixture Identifiability and Contextual Grounding in Sequence Models

    May 26, 2026Francesco CorielliSufficiencySequence Modeling