On Approximate Reasoning Capabilities of Low-Rank Vector Spaces. - Guillaume Bouchard; Sameer Singh 001; Théo Trouillon (AAAI Spring Symposia, 2015)

Accelerating Stochastic Gradient Descent via Online Learning to Sample. - Guillaume Bouchard; Théo Trouillon; Julien Perez; Adrien Gaidon (CoRR, 2015)

Complex Embeddings for Simple Link Prediction. - Théo Trouillon; Johannes Welbl; Sebastian Riedel 001; Éric Gaussier; Guillaume Bouchard (ICML, 2016)

Complex and Holographic Embeddings of Knowledge Graphs: A Comparison. - Théo Trouillon; Maximilian Nickel (CoRR, 2017)

Knowledge Graph Completion via Complex Tensor Factorization. - Théo Trouillon; Christopher R. Dance; Éric Gaussier; Johannes Welbl; Sebastian Riedel 001; Guillaume Bouchard (J. Mach. Learn. Res., 2017)

Modèles d'embeddings à valeurs complexes pour les graphes de connaissances. (Complex-Valued Embedding Models for Knowledge Graphs). - Théo Trouillon (2017)

On Inductive Abilities of Latent Factor Models for Relational Learning. - Théo Trouillon; Éric Gaussier; Christopher R. Dance; Guillaume Bouchard (J. Artif. Intell. Res., 2019)