9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Efficient and Mathematically Robust Operations for Certified Neural Networks Inference
Fabien Geyer, Johannes Freitag, Tobias Schulz +1
In recent years, machine learning (ML) and neural networks (NNs) have gained widespread use and attention across various domains, particularly in transportation for achieving auton…
quant-ph2022★ 9 cited
eXplainable AI for Quantum Machine Learning
Patrick Steinmüller, Tobias Schulz, Ferdinand Graf +1
Parametrized Quantum Circuits (PQCs) enable a novel method for machine learning (ML). However, from a computational point of view they present a challenge to existing eXplainable A…