:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yang, Jielong, Ding, Rui, Ji, Feng, Wang, Hongbin, Xie, Linbo
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2410.09708
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards a Reward-Free Reinforcement Learning Framework for Vehicle Control
by: Yang, Jielong, et al.
Published: (2025)

Semantically-Guided Inference for Conditional Diffusion Models: Enhancing Covariate Consistency in Time Series Forecasting
by: Ding, Rui, et al.
Published: (2025)

Neural Lyapunov Differentiable Predictive Control
by: Mukherjee, Sayak, et al.
Published: (2022)

Actor-Critic Physics-informed Neural Lyapunov Control
by: Wang, Jiarui, et al.
Published: (2024)

Stability Enhancement in Reinforcement Learning via Adaptive Control Lyapunov Function
by: Chen, Donghe, et al.
Published: (2025)

Lyapunov Stability Learning with Nonlinear Control via Inductive Biases
by: Lu, Yupu, et al.
Published: (2025)

DeltaGNN: Graph Neural Network with Information Flow Control
by: Mancini, Kevin, et al.
Published: (2025)

Lyapunov Neural ODE State-Feedback Control Policies
by: Ip, Joshua Hang Sai, et al.
Published: (2024)

Controllable Continual Test-Time Adaptation
by: Shi, Ziqi, et al.
Published: (2024)

Learned Lyapunov Shielding for Adaptive Control
by: Cirrincione, Giansalvo, et al.
Published: (2026)

Formally Verified Physics-Informed Neural Control Lyapunov Functions
by: Liu, Jun, et al.
Published: (2024)

Improving the Stability of GNN Force Field Models by Reducing Feature Correlation
by: Zeng, Yujie, et al.
Published: (2025)

Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control
by: Shi, Zhouxing, et al.
Published: (2024)

Parametric $ρ$-Norm Scaling Calibration
by: Zhang, Siyuan, et al.
Published: (2024)

Directed Link Prediction using GNN with Local and Global Feature Fusion
by: Zhang, Yuyang, et al.
Published: (2025)

DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs
by: Luo, Yuebo, et al.
Published: (2025)

Finite-Time Minimax Bounds and an Optimal Lyapunov Policy in Queueing Control
by: Liu, Yujie, et al.
Published: (2025)

Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
by: Yang, Lujie, et al.
Published: (2024)

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
by: Ding, Mucong, et al.
Published: (2024)

DivControl: Knowledge Diversion for Controllable Image Generation
by: Xie, Yucheng, et al.
Published: (2025)

MSACL: Multi-Step Actor-Critic Learning with Lyapunov Certificates for Exponentially Stabilizing Control
by: Zhang, Yongwei, et al.
Published: (2025)

engGNN: A Dual-Graph Neural Network for Omics-Based Disease Classification and Feature Selection
by: Yang, Tiantian, et al.
Published: (2026)

ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting
by: Guo, Jingwei, et al.
Published: (2022)

Test-time GNN Model Evaluation on Dynamic Graphs
by: Li, Bo, et al.
Published: (2025)

ADA-GNN: Atom-Distance-Angle Graph Neural Network for Crystal Material Property Prediction
by: Huang, Jiao, et al.
Published: (2024)

Utilizing Lyapunov Exponents in designing deep neural networks
by: Mittra, Tirthankar
Published: (2024)

Beyond Test-Time Memory: State-Space Optimal Control for LLM Reasoning
by: Wang, Peihao, et al.
Published: (2026)

Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning
by: Lopez, Antonio, et al.
Published: (2024)

Lyapunov-Stable Adaptive Control for Multimodal Concept Drift
by: Pan, Tianyu Bell, et al.
Published: (2025)

Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features
by: Mukherjee, Kunal, et al.
Published: (2023)

Provably Convergent Subgraph-wise Sampling for Fast GNN Training
by: Wang, Jie, et al.
Published: (2023)

Recurrent Neural Goodness-of-Fit Test for Time Series
by: Zhang, Aoran, et al.
Published: (2024)

GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback
by: Xu, Ruiyao, et al.
Published: (2026)

Stability and Generalization of Quantum Neural Networks
by: Yang, Jiaqi, et al.
Published: (2025)

TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features
by: Pan, Hengyue, et al.
Published: (2024)

Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
by: Lu, Jielong, et al.
Published: (2025)

Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors
by: Lu, Jielong, et al.
Published: (2025)

MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure
by: Yuan, Peng, et al.
Published: (2024)

ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability
by: Chen, Hongjiang, et al.
Published: (2026)

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training
by: Colussi, Marco, et al.
Published: (2024)