3 papers
quant-ph2025
A Hybrid Quantum Solver for Gaussian Process Regression
Kerem Bükrü, Steffen Leger, M. Lautaro Hickmann +3
Gaussian processes are widely known for their ability to provide probabilistic predictions in supervised machine learning models. Their non-parametric nature and flexibility make t…
quant-ph2025
Hybrid quantum tensor networks for aeroelastic applications
M. Lautaro Hickmann, Pedro Alves, David Quero +2
We investigate the application of hybrid quantum tensor networks to aeroelastic problems, harnessing the power of Quantum Machine Learning (QML). By combining tensor networks with…
cs.CL2021
Analysis of GraphSum's Attention Weights to Improve the Explainability of Multi-Document Summarization
M. Lautaro Hickmann, Fabian Wurzberger, Megi Hoxhalli +3
Modern multi-document summarization (MDS) methods are based on transformer architectures. They generate state of the art summaries, but lack explainability. We focus on graph-based…