Ludovic Dos Santos

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 18

Top Venues

CoRR

NeurIPS

AAMAS

ECML/PKDD (2)

Pierre and Marie Curie University, Paris, France (PHD)

Education History

Pierre and Marie Curie University, Paris, France

PHD

Publications

Paul Daoudi, Bogdan Robu, Christophe Prieur, Ludovic Dos Santos, Merwan Barlier
Enhancing Reinforcement Learning Agents with Local Guides. CoRR (2024)
Thibaut Issenhuth, Ludovic Dos Santos, Jean-Yves Franceschi, Alain Rakotomamonjy
Improving Consistency Models with Generator-Induced Coupling. CoRR (2024)
Paul Daoudi, Bojan Mavkov, Bogdan Robu, Christophe Prieur, Emmanuel Witrant, Merwan Barlier, Ludovic Dos Santos
Improving a Proportional Integral Controller with Reinforcement Learning on a Throttle Valve Benchmark. CoRR (2024)
Paul Daoudi, Bogdan Robu, Christophe Prieur, Ludovic Dos Santos, Merwan Barlier
Enhancing Reinforcement Learning Agents with Local Guides. AAMAS (2023)
Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy
Unifying GANs and Score-Based Diffusion as Generative Particle Models. CoRR (2023)
Veronika Shilova, Ludovic Dos Santos, Flavian Vasile, Gaëtan Racic, Ugo Tanielian
AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting. CoRR (2023)
Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy
Unifying GANs and Score-Based Diffusion as Generative Particle Models. NeurIPS (2023)
Paul Daoudi, Christophe Prieur, Bogdan Robu, Merwan Barlier, Ludovic Dos Santos
A Trust Region Approach for Few-Shot Sim-to-Real Reinforcement Learning. CoRR (2023)
Kevin Scaman, Cédric Malherbe, Ludovic Dos Santos
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness. ICML (2022)
Sarah Kamel, Hartmut Hafermann, Dylan Le Gac, Ludovic Dos Santos, Balázs Kégl, Yann Frignac, Gabriel Charlet
OSNR prediction for optical links via learned noise figures. ECOC (2021)
George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux
Coloring Graph Neural Networks for Node Disambiguation. IJCAI (2020)
Kevin Scaman, Ludovic Dos Santos, Merwan Barlier, Igor Colin
A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration. NeurIPS (2020)
Igor Colin, Ludovic Dos Santos, Kevin Scaman
Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning. NeurIPS (2019)
George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux
Coloring graph neural networks for node disambiguation. CoRR (2019)
Igor Colin, Ludovic Dos Santos, Kevin Scaman
Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning. CoRR (2019)
Ludovic Dos Santos, Benjamin Piwowarski, Ludovic Denoyer, Patrick Gallinari
Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks. ACM Trans. Knowl. Discov. Data 12 (5) (2018)
Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari
Gaussian Embeddings for Collaborative Filtering. SIGIR (2017)
Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari
Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings. ECML/PKDD (2) (2016)
Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari
Graph Based Method Approach to the ImageCLEF2015 Task1 - Image Annotation. CLEF (Working Notes) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ludovic Dos Santos