parameter identification

Physics-Informed DeepONets for drift-diffusion on metric graphs: simulation and parameter identification ICML 2025 Conditions for parameter unidentifiability of linear ARX systems for enhancing security L4DC 2024 Interpretable Meta-Learning of Physical Systems ICLR 2024 On the Complexity of Identification in Linear Structural Causal Models NeurIPS 2024 Physics-informed Neural Networks with Unknown Measurement Noise L4DC 2024 Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models AISTATS 2023 Neural Implicit Representations for Physical Parameter Inference From a Single Video WACV 2023 Operator Learning for Nonlinear Adaptive Control L4DC 2023 End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control RSS 2022 Local Identifiability of Deep ReLU Neural Networks: the Theory NeurIPS 2022 Efficient Algorithms for Learning Depth-2 Neural Networks with General ReLU Activations NeurIPS 2021 Identifying Mechanical Models of Unknown Objects with Differentiable Physics Simulations L4DC 2020 Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs AISTATS 2019 Parameter identification in Markov chain choice models ALT 2017 A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics RSS 2006