1 citations · 2 across the 4 of their papers we have counts for
4 papers
Unsupervised Quantum Anomaly Detection on Noisy Quantum Processors
Daniel Pranjić, Florian Knäble, Philipp Kunst +6
Whether in fundamental physics, cybersecurity or finance, the detection of anomalies with machine learning techniques is a highly relevant and active field of research, as it poten…
Combining Embeddings and Domain Knowledge for Job Posting Duplicate Detection
Matthias Engelbach, Dennis Klau, Maximilien Kintz +1
Job descriptions are posted on many online channels, including company websites, job boards or social media platforms. These descriptions are usually published with varying text fo…
Bringing Quantum Algorithms to Automated Machine Learning: A Systematic Review of AutoML Frameworks Regarding Extensibility for QML Algorithms
Dennis Klau, Marc Zöller, Christian Tutschku
This work describes the selection approach and analysis of existing AutoML frameworks regarding their capability of a) incorporating Quantum Machine Learning (QML) algorithms into…
Fine-tuning and aligning question answering models for complex information extraction tasks
Matthias Engelbach, Dennis Klau, Felix Scheerer +2
The emergence of Large Language Models (LLMs) has boosted performance and possibilities in various NLP tasks. While the usage of generative AI models like ChatGPT opens up new oppo…