14 citations · 32 across the 21 of their papers we have counts for
4 papers · 2 filters
Fast BATLLNN: Fast Box Analysis of Two-Level Lattice Neural Networks
James Ferlez, Haitham Khedr, Yasser Shoukry
In this paper, we present the tool Fast Box Analysis of Two-Level Lattice Neural Networks (Fast BATLLNN) as a fast verifier of box-like output constraints for Two-Level Lattice (TL…
Assured Neural Network Architectures for Control and Identification of Nonlinear Systems
James Ferlez, Yasser Shoukry
In this paper, we consider the problem of automatically designing a Rectified Linear Unit (ReLU) Neural Network (NN) architecture (number of layers and number of neurons per layer)…
Provably Safe Model-Based Meta Reinforcement Learning: An Abstraction-Based Approach
Xiaowu Sun, Wael Fatnassi, Ulices Santa Cruz +1
While conventional reinforcement learning focuses on designing agents that can perform one task, meta-learning aims, instead, to solve the problem of designing agents that can gene…
Safe-by-Repair: A Convex Optimization Approach for Repairing Unsafe Two-Level Lattice Neural Network Controllers
Ulices Santa Cruz, James Ferlez, Yasser Shoukry
In this paper, we consider the problem of repairing a data-trained Rectified Linear Unit (ReLU) Neural Network (NN) controller for a discrete-time, input-affine system. That is we…