4 citations · 17 across the 19 of their papers we have counts for
5 papers · 1 filter
Quantization-aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks
Mathias Lechner, Đorđe Žikelić, Krishnendu Chatterjee +2
We study the problem of training and certifying adversarially robust quantized neural networks (QNNs). Quantization is a technique for making neural networks more efficient by runn…
Learning Control Policies for Stochastic Systems with Reach-avoid Guarantees
Đorđe Žikelić, Mathias Lechner, Thomas A. Henzinger +1
We study the problem of learning controllers for discrete-time non-linear stochastic dynamical systems with formal reach-avoid guarantees. This work presents the first method for p…
Learning Provably Stabilizing Neural Controllers for Discrete-Time Stochastic Systems
Matin Ansaripour, Krishnendu Chatterjee, Thomas A. Henzinger +2
We consider the problem of learning control policies in discrete-time stochastic systems which guarantee that the system stabilizes within some specified stabilization region with…
Learning Stabilizing Policies in Stochastic Control Systems
Đorđe Žikelić, Mathias Lechner, Krishnendu Chatterjee +1
In this work, we address the problem of learning provably stable neural network policies for stochastic control systems. While recent work has demonstrated the feasibility of certi…
Differential Cost Analysis with Simultaneous Potentials and Anti-potentials
Đorđe Žikelić, Bor-Yuh Evan Chang, Pauline Bolignano +1
We present a novel approach to differential cost analysis that, given a program revision, attempts to statically bound the difference in resource usage, or cost, between the two pr…