Saved in:
| Main Authors: | Kim, Yujin, Dean, Sarah |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.20612 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tensor Dynamic Mode Decomposition
by: He, Ziqin, et al.
Published: (2025)
by: He, Ziqin, et al.
Published: (2025)
Parametric Interpolation of Dynamic Mode Decomposition for Predicting Nonlinear Systems
by: Chakrabarti, Ananda, et al.
Published: (2026)
by: Chakrabarti, Ananda, et al.
Published: (2026)
Learning Linear Dynamics from Bilinear Observations
by: Sattar, Yahya, et al.
Published: (2024)
by: Sattar, Yahya, et al.
Published: (2024)
Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs
by: Saha, Priyabrata, et al.
Published: (2024)
by: Saha, Priyabrata, et al.
Published: (2024)
Identifying Large-Scale Linear Parameter Varying Systems with Dynamic Mode Decomposition Methods
by: Jordanou, Jean Panaioti, et al.
Published: (2025)
by: Jordanou, Jean Panaioti, et al.
Published: (2025)
Finite Sample Identification of Partially Observed Bilinear Dynamical Systems
by: Sattar, Yahya, et al.
Published: (2025)
by: Sattar, Yahya, et al.
Published: (2025)
Explore-then-Commit for Nonstationary Linear Bandits with Latent Dynamics
by: Choi, Sunmook, et al.
Published: (2025)
by: Choi, Sunmook, et al.
Published: (2025)
Multiplicative Dynamic Mode Decomposition
by: Boullé, Nicolas, et al.
Published: (2024)
by: Boullé, Nicolas, et al.
Published: (2024)
Random Features Approximation for Control-Affine Systems
by: Kazemian, Kimia, et al.
Published: (2024)
by: Kazemian, Kimia, et al.
Published: (2024)
Policy Verification in Stochastic Dynamical Systems Using Logarithmic Neural Certificates
by: Badings, Thom, et al.
Published: (2024)
by: Badings, Thom, et al.
Published: (2024)
Reinforced Model Predictive Control via Trust-Region Quasi-Newton Policy Optimization
by: Brandner, Dean, et al.
Published: (2024)
by: Brandner, Dean, et al.
Published: (2024)
Rigged Dynamic Mode Decomposition: Data-Driven Generalized Eigenfunction Decompositions for Koopman Operators
by: Colbrook, Matthew J., et al.
Published: (2024)
by: Colbrook, Matthew J., et al.
Published: (2024)
Sub-optimality of the Separation Principle for Quadratic Control from Bilinear Observations
by: Sattar, Yahya, et al.
Published: (2025)
by: Sattar, Yahya, et al.
Published: (2025)
Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics
by: He, Zhiyu, et al.
Published: (2025)
by: He, Zhiyu, et al.
Published: (2025)
Neural Spline Operators for Risk Quantification in Stochastic Systems
by: Wang, Zhuoyuan, et al.
Published: (2025)
by: Wang, Zhuoyuan, et al.
Published: (2025)
Neural Coordination and Capacity Control for Inventory Management
by: Eisenach, Carson, et al.
Published: (2024)
by: Eisenach, Carson, et al.
Published: (2024)
Dual Control of Linear Systems from Bilinear Observations with Belief Space Model Predictive Control
by: Cao, Daniel, et al.
Published: (2026)
by: Cao, Daniel, et al.
Published: (2026)
Learning Dissipative Neural Dynamical Systems
by: Xu, Yuezhu, et al.
Published: (2023)
by: Xu, Yuezhu, et al.
Published: (2023)
Neural Two-Stage Stochastic Optimization for Solving Unit Commitment Problem
by: Shao, Zhentong, et al.
Published: (2025)
by: Shao, Zhentong, et al.
Published: (2025)
Policy Design for Two-sided Platforms with Participation Dynamics
by: Kiyohara, Haruka, et al.
Published: (2025)
by: Kiyohara, Haruka, et al.
Published: (2025)
Learning Subsystem Dynamics in Nonlinear Systems via Port-Hamiltonian Neural Networks
by: van Otterdijk, G. J. E., et al.
Published: (2024)
by: van Otterdijk, G. J. E., et al.
Published: (2024)
Stochastic Dynamic Power Dispatch with High Generalization and Few-Shot Adaption via Contextual Meta Graph Reinforcement Learning
by: Deng, Bairong, et al.
Published: (2024)
by: Deng, Bairong, et al.
Published: (2024)
LUCID: Learning-Enabled Uncertainty-Aware Certification of Stochastic Dynamical Systems
by: Casablanca, Ernesto, et al.
Published: (2025)
by: Casablanca, Ernesto, et al.
Published: (2025)
Optimizing Operation Recipes with Reinforcement Learning for Safe and Interpretable Control of Chemical Processes
by: Brandner, Dean, et al.
Published: (2025)
by: Brandner, Dean, et al.
Published: (2025)
Scalable Learning of Intrusion Responses through Recursive Decomposition
by: Hammar, Kim, et al.
Published: (2023)
by: Hammar, Kim, et al.
Published: (2023)
Certified Neural Approximations of Nonlinear Dynamics
by: Mathiesen, Frederik Baymler, et al.
Published: (2025)
by: Mathiesen, Frederik Baymler, et al.
Published: (2025)
Inverse Design with Dynamic Mode Decomposition
by: Zhu, Yunpeng, et al.
Published: (2025)
by: Zhu, Yunpeng, et al.
Published: (2025)
A Graph Neural Network with Auxiliary Task Learning for Missing PMU Data Reconstruction
by: Li, Bo, et al.
Published: (2025)
by: Li, Bo, et al.
Published: (2025)
Universal Learning of Stochastic Dynamics for Exact Belief Propagation using Bernstein Normalizing Flows
by: Amorese, Peter, et al.
Published: (2025)
by: Amorese, Peter, et al.
Published: (2025)
Sparse Kalman Identification for Partially Observable Systems via Adaptive Bayesian Learning
by: Mei, Jilan, et al.
Published: (2025)
by: Mei, Jilan, et al.
Published: (2025)
Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions
by: Stolz, Roland, et al.
Published: (2025)
by: Stolz, Roland, et al.
Published: (2025)
Efficient Sampling for Data-Driven Frequency Stability Constraint via Forward-Mode Automatic Differentiation
by: Xu, Wangkun, et al.
Published: (2024)
by: Xu, Wangkun, et al.
Published: (2024)
Computationally efficient Gauss-Newton reinforcement learning for model predictive control
by: Brandner, Dean, et al.
Published: (2025)
by: Brandner, Dean, et al.
Published: (2025)
Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems
by: Authier, Jules, et al.
Published: (2023)
by: Authier, Jules, et al.
Published: (2023)
Incremental Correction in Dynamic Systems Modelled with Neural Networks for Constraint Satisfaction
by: Cho, Namhoon, et al.
Published: (2022)
by: Cho, Namhoon, et al.
Published: (2022)
Peer-to-Peer Learning Dynamics of Wide Neural Networks
by: Chaudhari, Shreyas, et al.
Published: (2024)
by: Chaudhari, Shreyas, et al.
Published: (2024)
An Exploration-free Method for a Linear Stochastic Bandit Driven by a Linear Gaussian Dynamical System
by: Gornet, Jonathan, et al.
Published: (2025)
by: Gornet, Jonathan, et al.
Published: (2025)
Runtime-Certified Bounded-Error Quantized Attention
by: Calver, Dean
Published: (2026)
by: Calver, Dean
Published: (2026)
Future-Oriented Navigation: Dynamic Obstacle Avoidance with One-Shot Energy-Based Multimodal Motion Prediction
by: Zhang, Ze, et al.
Published: (2025)
by: Zhang, Ze, et al.
Published: (2025)
The Silence that Speaks: Neural Estimation via Communication Gaps
by: Aggarwal, Shubham, et al.
Published: (2025)
by: Aggarwal, Shubham, et al.
Published: (2025)
Similar Items
-
Tensor Dynamic Mode Decomposition
by: He, Ziqin, et al.
Published: (2025) -
Parametric Interpolation of Dynamic Mode Decomposition for Predicting Nonlinear Systems
by: Chakrabarti, Ananda, et al.
Published: (2026) -
Learning Linear Dynamics from Bilinear Observations
by: Sattar, Yahya, et al.
Published: (2024) -
Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs
by: Saha, Priyabrata, et al.
Published: (2024) -
Identifying Large-Scale Linear Parameter Varying Systems with Dynamic Mode Decomposition Methods
by: Jordanou, Jean Panaioti, et al.
Published: (2025)