Extends structural identifiability analysis to functional components of differential equation models and characterizes conditions for unique recovery using differential algebra techniques.
On Structural Identifiability,
8 Pith papers cite this work. Polarity classification is still indexing.
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The paper introduces a protocol-resolved framework for virological measurements, defining an observation operator that maps latent ensembles to observed data and recasting plaque assays as estimates of protocol-conditioned infectious concentration.
The reachable subspace dynamics of LTI systems remain uniquely identifiable from any experiment, even when the full system is not.
Symbolic rational-function networks recover an admissible PDE from noiseless complete measurements and select the regularization-minimizing parameterization within the architecture.
Geometric analysis shows that delayed aiding measurements admit a continuous symmetry for a larger class of degenerate trajectories than previously reported, preventing unique delay-and-state recovery.
Generative sequence models for physical tasks exhibit physical misgeneralization where local prediction errors propagate through physical measurements to distort aggregate distributions over quantities like distance or energy; a data deviation kernel explains and predicts the shifts and supports a内核
Forward-operator geometry analysis shows identifiability limits in ultrasonic models arise from parameter coupling, anisotropic sensitivity, and stochastic variability, with combined observables improving conditioning.
A tutorial on using StructuralIdentifiability.jl to assess local and global identifiability in ODE models with examples from epidemiology, pharmacokinetics, and systems biology.
citing papers explorer
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Structural functional identifiability and model discovery in differential equation models
Extends structural identifiability analysis to functional components of differential equation models and characterizes conditions for unique recovery using differential algebra techniques.
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Experimental Collapse in Virophysics: Protocol-Resolved Observation, Inference, and Plaque-Assay Blindness
The paper introduces a protocol-resolved framework for virological measurements, defining an observation operator that maps latent ensembles to observed data and recasting plaque assays as estimates of protocol-conditioned infectious concentration.
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Limits of Learning Linear Dynamics from Experiments
The reachable subspace dynamics of LTI systems remain uniquely identifiable from any experiment, even when the full system is not.
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Symbolic recovery of PDEs from measurement data
Symbolic rational-function networks recover an admissible PDE from noiseless complete measurements and select the regularization-minimizing parameterization within the architecture.
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On the Identifiability of Aided Inertial Navigation Under Measurement Delays: A Geometric Approach
Geometric analysis shows that delayed aiding measurements admit a continuous symmetry for a larger class of degenerate trajectories than previously reported, preventing unique delay-and-state recovery.
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Mechanisms of Misgeneralization in Physical Sequence Modeling
Generative sequence models for physical tasks exhibit physical misgeneralization where local prediction errors propagate through physical measurements to distort aggregate distributions over quantities like distance or energy; a data deviation kernel explains and predicts the shifts and supports a内核
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Identifiability Limits in Ultrasonic Microstructure Characterisation: A Canonical and Stochastic Framework
Forward-operator geometry analysis shows identifiability limits in ultrasonic models arise from parameter coupling, anisotropic sensitivity, and stochastic variability, with combined observables improving conditioning.
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A Tutorial on Symbolic Structural Identifiability Analysis of ODE Models in Julia
A tutorial on using StructuralIdentifiability.jl to assess local and global identifiability in ODE models with examples from epidemiology, pharmacokinetics, and systems biology.