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cs.LG2026
Quadratic Characterizations for Reachability Analysis of Neural Networks
Elias Khalife, Mazen Farhood, Pierre-Loic Garoche
Quadratic constraints (QCs) are widely used to characterize nonlinearities and uncertainties, but generic analytical characterizations can be conservative on bounded domains. This…
eess.SY2026
Learning Families of Fixed-Wing Aircraft Control Policies with Hypernetwork-Conditioned Reinforcement Learning
Dennis Marquis, Mazen Farhood
This paper investigates whether it is more effective to condition reinforcement learning policies across changing dynamics using standard input augmentation or hypernetwork-based p…