Co-occurring keywords · papers mentioning both
Papers
Universal Learning of Stochastic Dynamics for Exact Belief Propagation Using Bernstein Normalizing Flows
AAAI 2026
Verifying Nonlinear Neural Feedback Systems using Polyhedral Enclosures
L4DC 2026
Data-Driven Near-Optimal Control of Nonlinear Systems Over Finite Horizon
L4DC 2025
MamKO: Mamba-based Koopman operator for modeling and predictive control
ICLR 2025
ParaSolver: A Hierarchical Parallel Integral Solver for Diffusion Models
ICLR 2025
Phase transitions for the existence of unregularized M-estimators in single index models
ICML 2025
Convergence guarantees for adaptive model predictive control with kinky inference
L4DC 2024
Data-driven bifurcation analysis via learning of homeomorphism
L4DC 2024
Data driven verification of positive invariant sets for discrete, nonlinear systems
L4DC 2024
Deep model-free KKL observer: A switching approach
L4DC 2024
Exploring the Low-Pass Filtering Behavior in Image Super-Resolution
ICML 2024
Causal Discovery for Non-stationary Non-linear Time Series Data Using Just-In-Time Modeling
CLeaR 2023
DRCFS: Doubly Robust Causal Feature Selection
ICML 2023
Learning Robust State Observers using Neural ODEs
L4DC 2023
Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers
AAAI 2023
Task-Oriented Koopman-Based Control with Contrastive Encoder
CoRL 2023
The Power of Learned Locally Linear Models for Nonlinear Policy Optimization
ICML 2023
Adaptive Variants of Optimal Feedback Policies
L4DC 2022
A Piecewise Learning Framework for Control of Unknown Nonlinear Systems with Stability Guarantees
L4DC 2022
Data-Driven Controller Synthesis of Unknown Nonlinear Polynomial Systems via Control Barrier Certificates
L4DC 2022
Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation
AAAI 2022
Safe Control Under Input Limits with Neural Control Barrier Functions
CoRL 2022
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems
RSS 2021
Data-Driven Reachability Analysis Using Matrix Zonotopes
L4DC 2021
Learning Recurrent Neural Net Models of Nonlinear Systems
L4DC 2021