Graph Based Method Approach to the ImageCLEF2015 Task1 - Image Annotation. - Ludovic Dos Santos; Benjamin Piwowarski; Patrick Gallinari (CLEF (Working Notes), 2015)

Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings. - Ludovic Dos Santos; Benjamin Piwowarski; Patrick Gallinari (ECML/PKDD (2), 2016)

Gaussian Embeddings for Collaborative Filtering. - Ludovic Dos Santos; Benjamin Piwowarski; Patrick Gallinari (SIGIR, 2017)

Representation learning for relational data. (Apprentissage de représentations pour les données relationnelles). - Ludovic Dos Santos (2017)

Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks. - Ludovic Dos Santos; Benjamin Piwowarski; Ludovic Denoyer; Patrick Gallinari (ACM Trans. Knowl. Discov. Data, 2018)

Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning. - Igor Colin; Ludovic Dos Santos; Kevin Scaman (NeurIPS, 2019)

Coloring Graph Neural Networks for Node Disambiguation. - George Dasoulas; Ludovic Dos Santos; Kevin Scaman; Aladin Virmaux (IJCAI, 2020)

A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration. - Kevin Scaman; Ludovic Dos Santos; Merwan Barlier; Igor Colin (NeurIPS, 2020)

OSNR prediction for optical links via learned noise figures. - Sarah Kamel; Hartmut Hafermann; Dylan Le Gac; Ludovic Dos Santos; Balázs Kégl; Yann Frignac; Gabriel Charlet (ECOC, 2021)

Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness. - Kevin Scaman; Cédric Malherbe; Ludovic Dos Santos (ICML, 2022)

Enhancing Reinforcement Learning Agents with Local Guides. - Paul Daoudi; Bogdan Robu; Christophe Prieur 001; Ludovic Dos Santos; Merwan Barlier (AAMAS, 2023)

Unifying GANs and Score-Based Diffusion as Generative Particle Models. - Jean-Yves Franceschi; Mike Gartrell; Ludovic Dos Santos; Thibaut Issenhuth; Emmanuel de Bézenac; Mickaël Chen; Alain Rakotomamonjy (NeurIPS, 2023)

AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting. - Veronika Shilova; Ludovic Dos Santos; Flavian Vasile; Gaëtan Racic; Ugo Tanielian (CoRR, 2023)

A Trust Region Approach for Few-Shot Sim-to-Real Reinforcement Learning. - Paul Daoudi; Christophe Prieur 001; Bogdan Robu; Merwan Barlier; Ludovic Dos Santos (CoRR, 2023)

Improving a Proportional Integral Controller with Reinforcement Learning on a Throttle Valve Benchmark. - Paul Daoudi; Bojan Mavkov; Bogdan Robu; Christophe Prieur 001; Emmanuel Witrant; Merwan Barlier; Ludovic Dos Santos (CCTA, 2024)

A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning. - Paul Daoudi; Christophe Prieur 001; Bogdan Robu; Merwan Barlier; Ludovic Dos Santos (IJCAI, 2024)

Improving Consistency Models with Generator-Induced Coupling. - Thibaut Issenhuth; Ludovic Dos Santos; Jean-Yves Franceschi; Alain Rakotomamonjy (CoRR, 2024)