Gatsis, Konstantinos

6 publications

L4DC 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

ICML 2024 How Deep Do We Need: Accelerating Training and Inference of Neural ODEs via Control Perspective Keyan Miao, Konstantinos Gatsis

UAI 2024 Walking the Values in Bayesian Inverse Reinforcement Learning Ondrej Bajgar, Alessandro Abate, Konstantinos Gatsis, Michael Osborne

L4DC 2023 Learning Robust State Observers Using Neural ODEs Keyan Miao, Konstantinos Gatsis

NeurIPSW 2023 Towards Optimal Network Depths: Control-Inspired Acceleration of Training and Inference in Neural ODEs Keyan Miao, Konstantinos Gatsis

L4DC 2021 Linear Regression over Networks with Communication Guarantees Konstantinos Gatsis