Keyan Miao

According to our database, Keyan Miao authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity.

Han Wang, Keyan Miao, Diego de S. Madeira, Antonis Papachristodoulou

CoRR, June, 2025

Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version).

Keyan Miao, Liqun Zhao, Han Wang, Konstantinos Gatsis, Antonis Papachristodoulou

CoRR, April, 2025

NLBAC: A neural ODE-based algorithm for state-wise stable and safe reinforcement learning.

Liqun Zhao, Keyan Miao, Hongpeng Cao, Konstantinos Gatsis, Antonis Papachristodoulou

Neurocomputing, 2025

Opt-ODENet: Neural ODE Controller Design with Differentiable Optimization Layers for Safety and Stability.

Keyan Miao, Liqun Zhao, Han Wang, Konstantinos Gatsis, Antonis Papachristodoulou

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

2024

NLBAC: A Neural Ordinary Differential Equations-based Framework for Stable and Safe Reinforcement Learning.

Liqun Zhao, Keyan Miao, Konstantinos Gatsis, Antonis Papachristodoulou

CoRR, 2024

How Deep Do We Need: Accelerating Training and Inference of Neural ODEs via Control Perspective.

Keyan Miao, Konstantinos Gatsis

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Learning Robust State Observers using Neural ODEs.

Keyan Miao, Konstantinos Gatsis

Proceedings of the Learning for Dynamics and Control Conference, 2023

2022

Learning Robust State Observers using Neural ODEs (longer version).

Keyan Miao, Konstantinos Gatsis

CoRR, 2022