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20172026
most citedCertifiable Robustness and Robust Training for Graph Convolutional Networks

106 citations · 312 across the 67 of their papers we have counts for

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quant-ph2024

Certifiably Robust Encoding Schemes

Aman Saxena, Tom Wollschläger, Nicola Franco +2

Quantum machine learning uses principles from quantum mechanics to process data, offering potential advances in speed and performance. However, previous work has shown that these m…

quant-ph2023

Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness

Nicola Franco, Tom Wollschläger, Benedikt Poggel +2

Emerging quantum computing technologies, such as Noisy Intermediate-Scale Quantum (NISQ) devices, offer potential advancements in solving mathematical optimization problems. Howeve…