Ludovic Dos Santos

According to our database, Ludovic Dos Santos authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Improving a Proportional Integral Controller with Reinforcement Learning on a Throttle Valve Benchmark.

Paul Daoudi, Bojan Mavkov, Bogdan Robu, Christophe Prieur, Emmanuel Witrant, Merwan Barlier, Ludovic Dos Santos

CoRR, 2024

2023

A Trust Region Approach for Few-Shot Sim-to-Real Reinforcement Learning.

Paul Daoudi, Christophe Prieur, Bogdan Robu, Merwan Barlier, Ludovic Dos Santos

CoRR, 2023

AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting.

Veronika Shilova, Ludovic Dos Santos, Flavian Vasile, Gaëtan Racic, Ugo Tanielian

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhancing Reinforcement Learning Agents with Local Guides.

Paul Daoudi, Bogdan Robu, Christophe Prieur, Ludovic Dos Santos, Merwan Barlier

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness.

Kevin Scaman, Cédric Malherbe, Ludovic Dos Santos

Proceedings of the International Conference on Machine Learning, 2022

2021

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

Proceedings of the European Conference on Optical Communication, 2021

2020

A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration.

Kevin Scaman, Ludovic Dos Santos, Merwan Barlier, Igor Colin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Coloring Graph Neural Networks for Node Disambiguation.

George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning.

Igor Colin, Ludovic Dos Santos, Kevin Scaman

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

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

2017

Representation learning for relational data. (Apprentissage de représentations pour les données relationnelles).

Ludovic Dos Santos

PhD thesis, 2017

Gaussian Embeddings for Collaborative Filtering.

Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2016

Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings.

Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015

Graph Based Method Approach to the ImageCLEF2015 Task1 - Image Annotation.

Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari

Proceedings of the Working Notes of CLEF 2015, 2015