Co-occurring keywords · papers mentioning both
Papers
Stability of Certainty-Equivalent Adaptive LQR for Linear Systems with Unknown Time-Varying Parameters
L4DC 2026
On the Stability of Expressive Positional Encodings for Graphs
ICLR 2024
Parameter-adaptive approximate MPC: Tuning neural-network controllers without retraining
L4DC 2024
Scalable Algorithms for Individual Preference Stable Clustering
AISTATS 2024
A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions
NeurIPS 2023
Designing System Level Synthesis Controllers for Nonlinear Systems with Stability Guarantees
L4DC 2023
Limitless Stability for Graph Convolutional Networks
ICLR 2023
Stability Guarantees for Feature Attributions with Multiplicative Smoothing
NeurIPS 2023
Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees
NeurIPS 2023
Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies
CoRL 2023
A Computationally Efficient Framework for Vector Representation of Persistence Diagrams
JMLR 2022
Distributed Neural Network Control with Dependability Guarantees: a Compositional Port-Hamiltonian Approach
L4DC 2022
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees
NeurIPS 2022
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems
AAAI 2022
Verified Path Following Using Neural Control Lyapunov Functions
CoRL 2022
Enforcing robust control guarantees within neural network policies
ICLR 2021
LEOC: A Principled Method in Integrating Reinforcement Learning and Classical Control Theory
L4DC 2021
Black-box continuous-time transfer function estimation with stability guarantees: a kernel-based approach
L4DC 2020
Data-driven Identification of Approximate Passive Linear Models for Nonlinear Systems
L4DC 2020
Neural Lyapunov Control
NeurIPS 2019
Safe Model-based Reinforcement Learning with Stability Guarantees
NeurIPS 2017