Laurent Vermue

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 8

Top Topics

Partial Least Squares

Subject Matter Experts

Graph Embedding

Bayesian Decision

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

J. Mach. Learn. Res.

Publications

Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann
Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Petr Taborsky, Laurent Vermue, Maciej Korzepa, Morten Mørup
The Bayesian Cut. IEEE Trans. Pattern Anal. Mach. Intell. 43 (11) (2021)
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings. J. Mach. Learn. Res. 22 (2021)
Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank. CoRR (2020)
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. CoRR (2020)
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings. CoRR (2020)
Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods. WI/IAT (2020)
Andreas Baum, Laurent Vermue
Multiblock PLS: Block dependent prediction modeling for Python. J. Open Source Softw. 4 (34) (2019)