Parameter Identifiability

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Overview

Parameter identifiability asks whether different parameter values or models can produce the same observations, and which aspects of a system can therefore be recovered. Researchers analyze symmetries and equivalence classes, use rank and Fisher-information conditions, and design informative experiments with sufficient excitation, diverse trajectories, or interventions. These ideas apply to dynamical systems, inverse problems, latent-variable models, and neural networks, where tools such as structural analysis, Bayesian inference, and constrained estimation help distinguish unique recovery from uncertainty or partial identification. A central tension is that accurate predictions do not guarantee uniquely or precisely identified parameters: structural ambiguities may persist regardless of data volume, while finite, noisy data can make even identifiable parameters difficult to estimate.

Latest papers

CardsList

103 papers13 papers in the last four weeks, up 160% on the four weeks before. 0.1% of all new papers.

  1. Provable Subspace Identification of Nonlinear Multi-view CCA

    Feb 27, 2026Zhiwei Han, Stefan Matthes, Hao ShenRepresentation IdentifiabilityParameter Identifiability

    Chair of Data Processing, Technical University of Munich, Germany · fortiss GmbH, Munich, Germany

  2. PHAST: Port-Hamiltonian Architecture for Structured Temporal Dynamics Forecasting

    Feb 20, 2026Shubham Bhardwaj, Chandrajit BajajTime Series ForecastingPort-Hamiltonian Systems

    Department of Computer Science, Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, USA

  3. 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 KaoInverse RenderingParameter Identifiability

    Computer Science and Information Engineering, Tamkang University, New Taipei City, Taiwan (R.O.C.) · Department of Information Management, Central Police University, Taoyuan, Taiwan

  4. Complete Identification of Deep ReLU Networks through Łukasiewicz Logic

    Jan 30, 2026Yani Zhang, Helmut BölcskeiParameter IdentifiabilityReLU Neural Networks

    Chair for Mathematical Information Science, ETH Zürich

  5. Uncertainty-aware Causal Decision Making via Effect Bound Decomposition

    Jan 30, 2026Md Musfiqur Rahman, Ziwei Jiang, Hilaf Hasson +1Causal Effect EstimationParameter Identifiability

    Electrical and Computer Engineering, Purdue University · Computer Science, Johns Hopkins University · Cohesity

  6. Nonnegative matrix factorizations and related compositional models: Equivalence, identifiability, and an application on the grain-size analysis of sediments

    Dec 25, 2025Qianqian Qi, Peter G. M. van der Heijden, Maarten A. PrinsLatent Variable ModelsParameter Identifiability

    Hangzhou Dianzi University, China · Utrecht University, the Netherlands · University of Southampton, UK +1

  7. Variational Physics-Informed Ansatz for Reconstructing Hidden Interaction Networks from Steady States

    Dec 6, 2025Kaiming LuoParameter Identifiability

    School of Information Science and Technology, Fudan University, Shanghai, 200438, China

  8. The Alexander-Hirschowitz theorem for neurovarieties

    Nov 24, 2025A. Massarenti, M. MellaPolynomial Neural NetworksParameter Identifiability

  9. Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors

    Oct 6, 2025Zhiwei Han, Stefan Matthes, Hao ShenRepresentation LearningParameter Identifiability

    fortiss GmbH, Munich, Germany · Technical university of Munich

  10. Identifiable Convex-Concave Regression via Sub-gradient Regularised Least Squares

    Jun 22, 2025William ChungParameter IdentifiabilityNonparametric Regression

    Department of Decision Analytics and Operations, City University of Hong Kong, Hong Kong

  11. Identifiability Analysis of Linear ODE Systems with Hidden Confounders

    Oct 29, 2024Yuanyuan Wang, Biwei Huang, Wei Huang +2Parameter IdentifiabilityCausal Identifiability

    The University of Melbourne · University of California, San Diego

  12. Epsilon-Identifiability of Causal Quantities

    Jan 27, 2023Ang Li, Scott Mueller, Xin Shu +1Causal IdentifiabilityCausal Inference

    Cognitive Systems Laboratory, Department of Computer Science, University of California, Los Angeles, Los Angeles, California, USA.

  13. Symbolic Recovery of Differential Equations: The Identifiability Problem

    Oct 15, 2022Philipp Scholl, Aras Bacho, Holger Boche +1Parameter IdentifiabilityAutonomous Scientific Discovery

    Ludwig-Maximilians-Universität München Munich Germany · Technische Universität München Munich Center for Quantum Science and Technology (MCQST) Munich Quantum Valley (MQV) Munich Germany · Ludwig-Maximilians-Universität München University of Tromsø DLR-German Aerospace Center Munich Center for Machine Learning (MCML) Munich Germany