Daniel Thuerck
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View article: Predominant Aspects on Security for Quantum Machine Learning: Literature Review
Predominant Aspects on Security for Quantum Machine Learning: Literature Review Open
Quantum Machine Learning (QML) has emerged as a promising intersection of quantum computing and classical machine learning, anticipated to drive breakthroughs in computational tasks. This paper discusses the question which security concern…
View article: Learning Cuts via Enumeration Oracles
Learning Cuts via Enumeration Oracles Open
Cutting-planes are one of the most important building blocks for solving large-scale integer programming (IP) problems to (near) optimality. The majority of cutting plane approaches rely on explicit rules to derive valid inequalities that …
View article: Flynn’s Reconciliation
Flynn’s Reconciliation Open
A large portion of the recent performance increase in the High Performance Computing (HPC) and Machine Learning (ML) domains is fueled by accelerator cards. Many popular ML frameworks support accelerators by organizing computations as a co…