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Books and Theses
- 2017
[b1]Théo Trouillon:
Modèles d'embeddings à valeurs complexes pour les graphes de connaissances. (Complex-Valued Embedding Models for Knowledge Graphs). Grenoble Alpes University, France, 2017
Journal Articles
- 2019
- [j2]Théo Trouillon, Éric Gaussier, Christopher R. Dance, Guillaume Bouchard:
On Inductive Abilities of Latent Factor Models for Relational Learning. J. Artif. Intell. Res. 64: 21-53 (2019) - 2017
- [j1]Théo Trouillon, Christopher R. Dance, Éric Gaussier, Johannes Welbl, Sebastian Riedel, Guillaume Bouchard:
Knowledge Graph Completion via Complex Tensor Factorization. J. Mach. Learn. Res. 18: 130:1-130:38 (2017)
Conference and Workshop Papers
- 2016
- [c2]Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard:
Complex Embeddings for Simple Link Prediction. ICML 2016: 2071-2080 - 2015
- [c1]Guillaume Bouchard, Sameer Singh, Théo Trouillon:
On Approximate Reasoning Capabilities of Low-Rank Vector Spaces. AAAI Spring Symposia 2015
Informal and Other Publications
- 2017
- [i5]Théo Trouillon, Christopher R. Dance, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard:
Knowledge Graph Completion via Complex Tensor Factorization. CoRR abs/1702.06879 (2017) - [i4]Théo Trouillon, Maximilian Nickel:
Complex and Holographic Embeddings of Knowledge Graphs: A Comparison. CoRR abs/1707.01475 (2017) - [i3]Théo Trouillon, Éric Gaussier, Christopher R. Dance, Guillaume Bouchard:
On Inductive Abilities of Latent Factor Models for Relational Learning. CoRR abs/1709.05666 (2017) - 2016
- [i2]Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard:
Complex Embeddings for Simple Link Prediction. CoRR abs/1606.06357 (2016) - 2015
- [i1]Guillaume Bouchard, Théo Trouillon, Julien Perez, Adrien Gaidon:
Accelerating Stochastic Gradient Descent via Online Learning to Sample. CoRR abs/1506.09016 (2015)
Coauthor Index
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