conftrace_

system identification

99 papers

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Co-occurring keywords

dynamical system (398) linear dynamical system (86) gaussian process (1200) nonlinear system (36) parameter estimation (274) adaptive control (47) robust control (56) neural network (6616) optimal control (218) sample complexity (1169)

Papers

LILAD: Learning In-context Lyapunov-stable Adaptive Dynamics Models AAAI 2026
Differentiable Sparse Identification of Lagrangian Dynamics AAAI 2026
Learning Physics Informed Neural ODEs with Partial Measurements AAAI 2025
Toward Material-Agnostic System Identification from Videos ICCV 2025
Provably-Safe, Online System Identification RSS 2025
Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations JMLR 2024
GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulation NIPS 2024
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees NIPS 2024
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis CLEAR 2024
Convex approximations for a bi-level formulation of data-enabled predictive control L4DC 2024
HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NIPS 2024
Adaptive neural network based control approach for building energy control under changing environmental conditions L4DC 2024
Learnability of Linear Port-Hamiltonian Systems JMLR 2024
Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target IJCAI 2024
Neural Integro-Differential Equations AAAI 2023
FedSysID: A Federated Approach to Sample-Efficient System Identification L4DC 2023
System Identification of Neural Systems: If We Got It Right, Would We Know? ICML 2023
Simultaneous Learning of Contact and Continuous Dynamics CORL 2023
Frequency Domain Gaussian Process Models for $H^∞$ Uncertainties L4DC 2023
Benchmarking Rigid Body Contact Models L4DC 2023
Finite-time Koopman Identifier: A Unified Batch-online Learning Framework for Joint Learning of Koopman Structure and Parameters JMLR 2023
Scalable Deep Kernel Gaussian Process for Vehicle Dynamics in Autonomous Racing CORL 2023
An Algorithm for Learning Switched Linear Dynamics from Data NIPS 2022
Learning Deep Input-Output Stable Dynamics NIPS 2022
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data NIPS 2022