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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On the Identifiability of Aided Inertial Navigation Under Measurement Delays: A Geometric Approach
Jun 28, 2026Jonathan KellyParameter Identifiability Inertial Navigation
Disentangling Continuous-Time Latent Dynamics: Identifiability of Latent SDEs via Diffusion Shifts
Jun 26, 2026Yuanyuan Wang, Wenjie Wang, Haoxuan Li +2Stochastic Differential Equations Causal Representation Learning
Mohamed bin Zayed University of Artificial Intelligence · The University of Melbourne · Peking University +1
Recovering Governing Equations from Solution Data: Identifiability Bounds for Linear and Nonlinear ODEs
Jun 25, 2026Yang Pan, Helmut BölcskeiParameter Identifiability Sample Complexity
The Degeneracy Distillery
Jun 22, 2026T. Lucas Makinen, Deaglan J. Bartlett, Niall Jeffrey +1Simulation-Based Inference Parameter Estimation
Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Wilberforce Rd, Cambridge CB3 0WA, United Kingdom · Imperial Centre for Inference and Cosmology (ICIC), Imperial College London, Prince Consort Road, London SW7 2AZ, United Kingdom · Astrophysics, University of Oxford, Oxford OX1 3RH, United Kingdom +5
Identification and Inference for Algorithmic Frontiers with Selective Labels
Jun 12, 2026Yiqi Liu, Francesca Molinari, Amilcar VelezDebiased ML Parameter Identifiability
Department of Economics, Cornell University
Physics-Informed Discovery of Yield Functions in Plasticity via Convex Neural Representations
Jun 12, 2026Hyeonbin Moon, Donghyuk Cho, Jecheon Yu +2Parameter Identifiability Physics-Informed ML
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea · School of Engineering, Deakin University, 75 Pigdons Road, Waurn Ponds, Victoria, 3216, Australia · KAIST InnoCORE PRISM-AI Center, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea +1
Extracting Governing Equations from Latent Dynamics via Multi-View Contrastive Learning
Jun 11, 2026Paolo Muratore, Mackenzie Weygandt MathisContrastive Learning Parameter Identifiability
EPFL
Physics-Informed Neural Networks for Chemotherapy Pharmacokinetics: Benchmarking the Clinical Estimator and Exposing Parameter Identifiability
Jun 10, 2026Riya Bisht, Dhruv AgarwalDynamical Systems Parameter Estimation
Computational Identifiability
Jun 8, 2026Lucius E. J. Bynum, Rajesh Ranganath, Kyunghyun ChoCausal Effect Estimation Parameter Identifiability
New York University
When Are Neural Interaction Discoveries Real? Identifiability, Recoverability, and a Pre-Fit Diagnostic
Jun 7, 2026Valentina Kuskova, Dmitry Zaytsev, Michael CoppedgeFeature Interaction Modeling Parameter Identifiability
Lucy Family Institute for Data & Society · University of Notre Dame · Notre Dame, IN, USA +1
Identifiability and Estimation for Unlabeled Finite Mixtures under Marginal Independence
Jun 6, 2026Takafumi Kanamori, Yushi Hirose, Shohei YamamotoLatent Variable Models Parameter Identifiability
Department of Mathematical and Computing Science, Institute of Science Tokyo · RIKEN Center for Advanced Intelligence Project
The Geometry of Last-Layer Model Stealing
Jun 5, 2026Snigdha Chandan KhilarParameter Identifiability Model Extraction Attacks
Independent Researcher.
A Fiber Criterion for Representation Identifiability in Supervised Learning
May 31, 2026Vasileios SevetlidisRepresentation Identifiability Parameter Identifiability
Athena Research Center, Kimmeria Campus, Xanthi, Greece · Democritus University of Thrace, Vas. Sofias Campus, Xanthi, Greece · International Hellenic University, Serres, Greece
Toward Identifiable Sparse Autoencoders
May 29, 2026Walter Nelson, Theofanis Karaletsos, Francesco LocatelloParameter Identifiability Sparse Autoencoders
Institute of Science and Technology Austria · 2Pyramidal Inc. · and Achira Inc., USA.
Physics from Video: Identifiability of Time-Invariant Second-Order ODEs under Minimal Trajectory Conditions
May 27, 2026Yuanyuan Wang, Wenjie Wang, Kun Zhang +1Parameter Identifiability Latent Dynamics Modeling
Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE · University of Melbourne, Melbourne, Australia · Carnegie Mellon University, Pittsburgh, USA
When Does LeJEPA Learn a World Model?
May 25, 2026David Klindt, Yann LeCun, Randall BalestrieroWorld Model Learning Representation Identifiability
Cold Spring Harbor Laboratory · New York University · Brown University
From DPPs to $k$ -DPPs: identifiability analysis via spectral decomposition
May 25, 2026Hideitsu Hino, Keisuke YanoParameter Identifiability Determinantal Point Process
The Institute of Statistical Mathematics, 10-3 Midori cho, Tachikawa City, 190-8562, Tokyo, Japan.
On the Epistemic Uncertainty of Overparametrized Neural Networks
May 24, 2026David RügamerBayesian Neural Networks Parameter Identifiability
Department of Statistics, LMU Munich, Munich, Germany · Munich Center for Machine Learning (MCML), Munich, Germany
Feature Learning in Wide Neural Networks under $μ$ P: Identifiability and Sparse-Dictionary Decomposition of the Mean-Field Limit
May 23, 2026Akmal XodarevRepresentation Learning Parameter Identifiability
Independent Researcher · Tashkent, Uzbekistan
A differentiable machine learning small-angle X-ray scattering analysis framework for structure elucidation of lipid nanoparticles
May 22, 2026Maria Bånkestad, Sandra Barman, Magnus Röding +11Parameter Identifiability Materials Science
RISE Research Institutes of Sweden, Division Digital Systems, Computer Science, Kista, Sweden · RISE Research Institutes of Sweden, Division Bioeconomy, Food Research and Innovation, Göteborg, Sweden · Sustainable Innovation & Transformational Excellence, Pharmaceutical Technology & Development, Operations, AstraZeneca Gothenburg, Mölndal, Sweden +5
Learning Individual Dynamics from Sparse Cross-Sectional Snapshots
May 22, 2026Christian Lagemann, Kai Lagemann, Steven L. Brunton +1Parameter Identifiability Latent Dynamics Modeling
Statistics and Machine Learning, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany · MediaTek Research, London, United Kingdom · Department of Mechanical Engineering & AI Institute in Dynamic Systems, University of Washington, Seattle, United States +1
The Symmetries of Three-Layer ReLU Networks
May 18, 2026Johanna Marie Gegenfurtner, Moritz Grillo, Guido MontúfarParameter Identifiability ReLU Neural Networks
Technical University of Denmark · Max Planck Institute for Mathematics in the Sciences · UCLA and MPI MiS
A Reproducible and Physically Feasible Dynamic Parameter Identification Framework for a Low-Cost Robot Arm
May 15, 2026Junji Oaki, Koki Yamane, Koki Inami +1Robot Dynamics Identification Parameter Identifiability
Institute of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan
IV-ICL: Bounding Causal Effects with Instrumental Variables via In-Context Learning
May 13, 2026Vahid Balazadeh, Hamidreza Kamkari, Medha Barath +2Causal Effect Estimation Parameter Identifiability
University of Toronto · Vector Institute · MIT CSAIL +1
Limits of Learning Linear Dynamics from Experiments
May 12, 2026Aybüke Ulusarslan, Niki Kilbertus, Nora SchneiderDynamical Systems Parameter Identifiability
1Technical University of Munich · 2Helmholtz Munich · 3Munich Center for Machine Learning (MCML)
Multi-Agent System Identification with Nonlinear Sheaf Diffusion
May 11, 2026Nivar Anwer, Hans Riess, Matthew HaleParameter Identifiability Nonlinear System Identification
Department of Computer Science, Georgia Tech · Department of Electrical & Computer Engineering, Georgia Tech
Identified-Set Geometry of Distributional Model Extraction under Top- $K$ Censored API Access
May 11, 2026Wenhua Nie, ZiCheng Zhu, Jianan Wu +3Parameter Identifiability Partial Identification
National Taiwan University
Model synthesis and identifiability analysis of stiff chemical reaction systems with inVAErt networks
May 5, 2026Sreejata Dey, Guoxiang Grayson Tong, Jonathan F. MacArt +1Neural Surrogate Modeling Parameter Identifiability
Department of Applied and Computational Mathematics and Statistics, University of Notre Dame · Department of Pediatrics, Stanford University · Department of Aerospace and Mechanical Engineering, University of Notre Dame
Most ReLU Networks Admit Identifiable Parameters
May 5, 2026Moritz Grillo, Guido MontúfarRepresentation Identifiability Parameter Identifiability
Max Planck Institute for Mathematics in the Sciences, Leipzig · Departments of Mathematics and Statistics & Data Science, UCLA
A Unifying Framework for Unsupervised Concept Extraction
Apr 27, 2026Chandler Squires, Pradeep RavikumarUnsupervised Learning Parameter Identifiability
Machine Learning Department, CMU

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

Jonathan Kelly

Parameter Identifiability Inertial Navigation

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In aided inertial navigation, measurements from different sensors are often subject to unknown relative time delays. Consider a single aiding sensor whose measurements have an unknown but constant delay relative to the inertial-measurement data stream. We study the identifiability of the delay and the initial navigation state that parameterizes the trajectory. Identifiability depends on both the temporal structure of the aiding measurements and the form of the trajectory itself. Our geometric analysis shows that, for a larger class of uninformative (i.e., degenerate) trajectories than has previously been reported, the delayed measurement model admits a continuous symmetry that prevents unique delay-and-state recovery.

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