Ludovic Dos Santos

According to our database1, Ludovic Dos Santos authored at least 17 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Improving Consistency Models with Generator-Induced Coupling.
CoRR, 2024

A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Improving a Proportional Integral Controller with Reinforcement Learning on a Throttle Valve Benchmark.
Proceedings of the IEEE Conference on Control Technology and Applications, 2024

2023
A Trust Region Approach for Few-Shot Sim-to-Real Reinforcement Learning.
CoRR, 2023

AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting.
CoRR, 2023

Unifying GANs and Score-Based Diffusion as Generative Particle Models.
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.
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.
Proceedings of the International Conference on Machine Learning, 2022

2021
OSNR prediction for optical links via learned noise figures.
Proceedings of the European Conference on Optical Communication, 2021

2020
A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration.
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.
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.
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.
ACM Trans. Knowl. Discov. Data, 2018

2017
Representation learning for relational data. (Apprentissage de représentations pour les données relationnelles).
PhD thesis, 2017

Gaussian Embeddings for Collaborative Filtering.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015
Graph Based Method Approach to the ImageCLEF2015 Task1 - Image Annotation.
Proceedings of the Working Notes of CLEF 2015, 2015


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