University Pierre et Marie Curie - LIP6 - UPMC
4 Place Jussieu - 75005 PARIS
Tel : +33 1 44 27 84 23
Fax : +33 1 44 27 70 00
ludovic[dot]denoyer[at]lip6[dot]fr
- Full Professor in the Machine Learning and Information Access Team
- Co-head of the Data-Science Master Data, Machine Learning and Knowledge (DAC)
- Chargé de Mission Open Data/Research auprès de la présidence de l'UPMC
- Habilitation to Drive Research: http://www-connex.lip6.fr/~denoyer/HDR.pdf
Présentations
- Présentation Google 2017 -- Sequential Budgeted Learning with focus on Deep Sequential Neural Networks and Budgeted Option Discovery -- google_2017
- Présentation Critéo 2016 -- Learning Graph Embeddings -- criteo_2017
- Séminaire Facebook FAIR 2016 -- Sequential Budgeted Learning with focus on Sequential Information Acquisition --facebook_2016
Softwares
- A RL package for PyTorch : https://github.com/ludc/rl
- A RL simple package for Torch and OpenAI Gym : https://github.com/ludc/rltorch
- Source code of the Social Network Embeddings paper : https://github.com/ludc/social_network_diffusion_embeddings
- A simple google map interface for Torch: https://github.com/ludc/googlemaps
News
Three new papers:
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Multi-view Generative Adversarial Networks pdf Mickael Chen, Ludovic Denoyer
- NIPS Adversarial Learning workshop 2016
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Options Discovery with Budgeted Reinforcement Learning pdf Aurelia Leon, Ludovic Denoyer
- NIPS Deep Reinforcement Learning workshop 2016
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Modelling Relational Time Series using Gaussian Embeddings pdf Ludovic Dos Santos, Ali Ziat, Ludovic Denoyer, Benjamin Piwowarski, Patrick Gallinari
- NIPS Time Series workshop 2016
- ICONIP 2016 : Recurrent Neural Networks for Adaptive Feature Acquisition -- G Contardo, L Denoyer, T Artières -- Best student paper award
- ESANN 2016 : Policy-gradient methods for Decision Trees -- A Léon, L Denoyer
- ESANN 2016 : Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series -- A Ziat, G Contardo, N Baskiotis, L Denoyer
- May 2015 : New article "Reinforced Decision Trees"
- 23rd of december, 2014 : New article "Representation Learning for Cold Start Recommendation"
- November 2014: Focus on "Deep Sequential Neural Networks"
Current students
- Wenjie Zheng - Decentralized Machine Learning (co-supervised with Patrick Gallinari)
- Ali Ziat - Representation Learning models for heterogeneous temporal data (co-supervised with Nicolas Baskiotis) with VEDECOM
- Gabriella Contardo - Online Budgeted Learning (co-supervised with Thierry Artieres)
- Nassim Aklil - Budgeted approaches to Robot Navigation (co-supervised with Mehdi Khamassi)
- Mickael Chen - Multiview Learning (co-supervised with Thierry Artieres)
- Edouard Delasalles - Temporal Learning (co-supervised with Sylvain Lamprier)
Past Students
- Loreta Maag - Machine Learning approach to privacy in dynamic social networks (Alcatel)
- Gabriel Dulac-Arnold - A General Sequential Model for Constrained (Budgeted) Classification - Phd Obtained in 2014, now at DeepMind
- Yann Jacob - Machine Learning for mutilrelational and heterogeneous networks - PhD obtained in 2013 - now working at a data scientist at iRaiser
- Sheng Gao - Latent Factor Models for Link Prediction Problems - PhD obtained in 2013 - now working as a Lecturer atthe Beijing Unniversity of Post and Telecommunication
- Francis Maes - Reinforcement Learning for Structured Output Prediction - PhD obtained in 2009 - now CEO of D-Labs
Main publications
Sequential Learning Models
Classification with Reinforcement Learning
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- G. Dulac-Arnold, L. Denoyer, N. Thome, M. Cord, and P. Gallinari, "Sequentially generated instance-dependent image representations for classification," Internation conference on learning representations - iclr 2014, 2014.
[Bibtex]@article{dulac2014sequentially, title={Sequentially Generated Instance-Dependent Image Representations for Classification}, author={Dulac-Arnold, Gabriel and Denoyer, Ludovic and Thome, Nicolas and Cord, Matthieu and Gallinari, Patrick}, journal={Internation Conference on Learning Representations - ICLR 2014}, year={2014} }
- G. Dulac-Arnold, L. Denoyer, N. Thome, M. Cord, and P. Gallinari, "Sequentially generated instance-dependent image representations for classification," Internation conference on learning representations - iclr 2014, 2014.
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- G. Dulac-Arnold, L. Denoyer, P. Preux, and P. Gallinari, "Sequential approaches for learning datum-wise sparse representations," Machine learning, vol. 89, iss. 1-2, pp. 87-122, 2012.
[Bibtex]@article{dulac2012sequential, title={Sequential approaches for learning datum-wise sparse representations}, author={Dulac-Arnold, Gabriel and Denoyer, Ludovic and Preux, Philippe and Gallinari, Patrick}, journal={Machine learning}, volume={89}, number={1-2}, pages={87--122}, year={2012}, publisher={Springer US} }
- G. Dulac-Arnold, L. Denoyer, P. Preux, and P. Gallinari, "Sequential approaches for learning datum-wise sparse representations," Machine learning, vol. 89, iss. 1-2, pp. 87-122, 2012.
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- G. Dulac-Arnold, L. Denoyer, and P. Gallinari, "Text classification: a sequential reading approach," in Advances in information retrieval (ecir), 2011, pp. 411-423.
[Bibtex]@inproceedings{dulac2011text, title={Text classification: a sequential reading approach}, author={Dulac-Arnold, Gabriel and Denoyer, Ludovic and Gallinari, Patrick}, booktitle={Advances in Information Retrieval (ECIR)}, pages={411--423}, year={2011}, organization={Springer Berlin/Heidelberg} }
- G. Dulac-Arnold, L. Denoyer, and P. Gallinari, "Text classification: a sequential reading approach," in Advances in information retrieval (ecir), 2011, pp. 411-423.
Structured Output Prediction with Reinforcement Learning
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- F. Maes, L. Denoyer, and P. Gallinari, "Structured prediction with reinforcement learning," Machine learning, vol. 77, iss. 2-3, pp. 271-301, 2009.
[Bibtex]@article{maes2009structured, title={Structured prediction with reinforcement learning}, author={Maes, Francis and Denoyer, Ludovic and Gallinari, Patrick}, journal={Machine learning}, volume={77}, number={2-3}, pages={271--301}, year={2009}, publisher={Springer US} }
- F. Maes, L. Denoyer, and P. Gallinari, "Structured prediction with reinforcement learning," Machine learning, vol. 77, iss. 2-3, pp. 271-301, 2009.
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- F. Maes, L. Denoyer, and P. Gallinari, "Sequence labeling with reinforcement learning and ranking algorithms," in Machine learning: ecml 2007, 2007, pp. 648-657.
[Bibtex]@inproceedings{maes2007sequence, title={Sequence labeling with reinforcement learning and ranking algorithms}, author={Maes, Francis and Denoyer, Ludovic and Gallinari, Patrick}, booktitle={Machine Learning: ECML 2007}, pages={648--657}, year={2007}, organization={Springer Berlin/Heidelberg} }
- F. Maes, L. Denoyer, and P. Gallinari, "Sequence labeling with reinforcement learning and ranking algorithms," in Machine learning: ecml 2007, 2007, pp. 648-657.
Deep Neural Networks and Reinforcement Learning
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- L. Denoyer and P. Gallinari, "Deep sequential neural network," Arxiv preprint arxiv:1410.0510, 2014.
[Bibtex]@article{denoyer2014deep, title={Deep Sequential Neural Network}, author={Denoyer, Ludovic and Gallinari, Patrick}, journal={arXiv preprint arXiv:1410.0510}, year={2014} }
- L. Denoyer and P. Gallinari, "Deep sequential neural network," Arxiv preprint arxiv:1410.0510, 2014.
Representation Learning
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- Y. Jacob, L. Denoyer, and P. Gallinari, "Learning latent representations of nodes for classifying in heterogeneous social networks," in Proceedings of the 7th acm international conference on web search and data mining, 2014, pp. 373-382.
[Bibtex]@inproceedings{jacob2014learning, title={Learning latent representations of nodes for classifying in heterogeneous social networks}, author={Jacob, Yann and Denoyer, Ludovic and Gallinari, Patrick}, booktitle={Proceedings of the 7th ACM international conference on Web search and data mining}, pages={373--382}, year={2014}, organization={ACM} }
- Y. Jacob, L. Denoyer, and P. Gallinari, "Learning latent representations of nodes for classifying in heterogeneous social networks," in Proceedings of the 7th acm international conference on web search and data mining, 2014, pp. 373-382.
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- S. Bourigault, C. Lagnier, S. Lamprier, L. Denoyer, and P. Gallinari, "Learning social network embeddings for predicting information diffusion," in Proceedings of the 7th acm international conference on web search and data mining, 2014, pp. 393-402.
[Bibtex]@inproceedings{bourigault2014learning, title={Learning social network embeddings for predicting information diffusion}, author={Bourigault, Simon and Lagnier, Cedric and Lamprier, Sylvain and Denoyer, Ludovic and Gallinari, Patrick}, booktitle={Proceedings of the 7th ACM international conference on Web search and data mining}, pages={393--402}, year={2014}, organization={ACM} }
- S. Bourigault, C. Lagnier, S. Lamprier, L. Denoyer, and P. Gallinari, "Learning social network embeddings for predicting information diffusion," in Proceedings of the 7th acm international conference on web search and data mining, 2014, pp. 393-402.
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- G. Contardo, L. Denoyer, T. Artieres, and P. Gallinari, "Learning states representations in pomdp," Internation conference on learning representations (poster) iclr 2014, 2014.
[Bibtex]@article{contardo2014learning, title={Learning States Representations in POMDP}, author={Contardo, Gabriella and Denoyer, Ludovic and Artieres, Thierry and Gallinari, Patrick}, journal={Internation Conference on Learning Representations (poster) ICLR 2014}, year={2014} }
- G. Contardo, L. Denoyer, T. Artieres, and P. Gallinari, "Learning states representations in pomdp," Internation conference on learning representations (poster) iclr 2014, 2014.
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- L. Denoyer and P. Gallinari, "Deep sequential neural network," Arxiv preprint arxiv:1410.0510, 2014.
[Bibtex]@article{denoyer2014deep, title={Deep Sequential Neural Network}, author={Denoyer, Ludovic and Gallinari, Patrick}, journal={arXiv preprint arXiv:1410.0510}, year={2014} }
- L. Denoyer and P. Gallinari, "Deep sequential neural network," Arxiv preprint arxiv:1410.0510, 2014.
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- C. Lagnier, S. Bourigault, S. Lamprier, L. Denoyer, and P. Gallinari, "Learning information spread in content networks," Internation conference on learning representations (poster) iclr 2014, 2014.
[Bibtex]@article{lagnier2014learning, title={Learning Information Spread in Content Networks}, author={Lagnier, C{\'e}dric and Bourigault, Simon and Lamprier, Sylvain and Denoyer, Ludovic and Gallinari, Patrick}, journal={Internation Conference on Learning Representations (poster) ICLR 2014}, year={2014} }
- C. Lagnier, S. Bourigault, S. Lamprier, L. Denoyer, and P. Gallinari, "Learning information spread in content networks," Internation conference on learning representations (poster) iclr 2014, 2014.
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- G. Dulac-Arnold, L. Denoyer, N. Thome, M. Cord, and P. Gallinari, "Sequentially generated instance-dependent image representations for classification," Internation conference on learning representations - iclr 2014, 2014.
[Bibtex]@article{dulac2014sequentially, title={Sequentially Generated Instance-Dependent Image Representations for Classification}, author={Dulac-Arnold, Gabriel and Denoyer, Ludovic and Thome, Nicolas and Cord, Matthieu and Gallinari, Patrick}, journal={Internation Conference on Learning Representations - ICLR 2014}, year={2014} }
- G. Dulac-Arnold, L. Denoyer, N. Thome, M. Cord, and P. Gallinari, "Sequentially generated instance-dependent image representations for classification," Internation conference on learning representations - iclr 2014, 2014.
Machine Learning on Graphs and Social Networks
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- Heterogeneous Graphs
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- Y. Jacob, L. Denoyer, and P. Gallinari, "Learning latent representations of nodes for classifying in heterogeneous social networks," in Proceedings of the 7th acm international conference on web search and data mining, 2014, pp. 373-382.
[Bibtex]@inproceedings{jacob2014learning, title={Learning latent representations of nodes for classifying in heterogeneous social networks}, author={Jacob, Yann and Denoyer, Ludovic and Gallinari, Patrick}, booktitle={Proceedings of the 7th ACM international conference on Web search and data mining}, pages={373--382}, year={2014}, organization={ACM} }
- Y. Jacob, L. Denoyer, and P. Gallinari, "Learning latent representations of nodes for classifying in heterogeneous social networks," in Proceedings of the 7th acm international conference on web search and data mining, 2014, pp. 373-382.
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- Multi-Relational Graphs
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- S. Peters, Y. Jacob, L. Denoyer, and P. Gallinari, "Iterative multi-label multi-relational classification algorithm for complex social networks," Social network analysis and mining, vol. 2, iss. 1, pp. 17-29, 2012.
[Bibtex]@article{peters2012iterative, title={Iterative multi-label multi-relational classification algorithm for complex social networks}, author={Peters, St{\'e}phane and Jacob, Yann and Denoyer, Ludovic and Gallinari, Patrick}, journal={Social Network Analysis and Mining}, volume={2}, number={1}, pages={17--29}, year={2012}, publisher={Springer Vienna} }
- S. Peters, Y. Jacob, L. Denoyer, and P. Gallinari, "Iterative multi-label multi-relational classification algorithm for complex social networks," Social network analysis and mining, vol. 2, iss. 1, pp. 17-29, 2012.
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- Y. Jacob, L. Denoyer, and P. Gallinari, "Classification and annotation in social corpora using multiple relations," in Proceedings of the 20th acm international conference on information and knowledge management, 2011, pp. 1215-1220.
[Bibtex]@inproceedings{jacob2011classification, title={Classification and annotation in social corpora using multiple relations}, author={Jacob, Yann and Denoyer, Ludovic and Gallinari, Patrick}, booktitle={Proceedings of the 20th ACM international conference on Information and knowledge management}, pages={1215--1220}, year={2011}, organization={ACM} }
- Y. Jacob, L. Denoyer, and P. Gallinari, "Classification and annotation in social corpora using multiple relations," in Proceedings of the 20th acm international conference on information and knowledge management, 2011, pp. 1215-1220.
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- S. Gao, L. Denoyer, and P. Gallinari, "Link pattern prediction with tensor decomposition in multi-relational networks," in Computational intelligence and data mining (cidm), 2011 ieee symposium on, 2011, pp. 333-340.
[Bibtex]@inproceedings{gao2011link, title={Link pattern prediction with tensor decomposition in multi-relational networks}, author={Gao, Sheng and Denoyer, Ludovic and Gallinari, Patrick}, booktitle={Computational Intelligence and Data Mining (CIDM), 2011 IEEE Symposium on}, pages={333--340}, year={2011}, organization={IEEE} }
- S. Gao, L. Denoyer, and P. Gallinari, "Link pattern prediction with tensor decomposition in multi-relational networks," in Computational intelligence and data mining (cidm), 2011 ieee symposium on, 2011, pp. 333-340.
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- Temporal Graphs
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- S. Gao, L. Denoyer, and P. Gallinari, "Temporal link prediction by integrating content and structure information," in Proceedings of the 20th acm international conference on information and knowledge management, 2011, pp. 1169-1174.
[Bibtex]@inproceedings{gao2011temporal, title={Temporal link prediction by integrating content and structure information}, author={Gao, Sheng and Denoyer, Ludovic and Gallinari, Patrick}, booktitle={Proceedings of the 20th ACM international conference on Information and knowledge management}, pages={1169--1174}, year={2011}, organization={ACM} }
- S. Gao, L. Denoyer, and P. Gallinari, "Temporal link prediction by integrating content and structure information," in Proceedings of the 20th acm international conference on information and knowledge management, 2011, pp. 1169-1174.
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- Propagation in Social Networks
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- S. Bourigault, C. Lagnier, S. Lamprier, L. Denoyer, and P. Gallinari, "Learning social network embeddings for predicting information diffusion," in Proceedings of the 7th acm international conference on web search and data mining, 2014, pp. 393-402.
[Bibtex]@inproceedings{bourigault2014learning, title={Learning social network embeddings for predicting information diffusion}, author={Bourigault, Simon and Lagnier, Cedric and Lamprier, Sylvain and Denoyer, Ludovic and Gallinari, Patrick}, booktitle={Proceedings of the 7th ACM international conference on Web search and data mining}, pages={393--402}, year={2014}, organization={ACM} }
- S. Bourigault, C. Lagnier, S. Lamprier, L. Denoyer, and P. Gallinari, "Learning social network embeddings for predicting information diffusion," in Proceedings of the 7th acm international conference on web search and data mining, 2014, pp. 393-402.
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- C. Lagnier, L. Denoyer, E. Gaussier, and P. Gallinari, "Predicting information diffusion in social networks using content and user’s profiles," in Advances in information retrieval, Springer Berlin Heidelberg, 2013, pp. 74-85.
[Bibtex]@incollection{lagnier2013predicting, title={Predicting information diffusion in social networks using content and user’s profiles}, author={Lagnier, C{\'e}dric and Denoyer, Ludovic and Gaussier, Eric and Gallinari, Patrick}, booktitle={Advances in Information Retrieval}, pages={74--85}, year={2013}, publisher={Springer Berlin Heidelberg} }
- C. Lagnier, L. Denoyer, E. Gaussier, and P. Gallinari, "Predicting information diffusion in social networks using content and user’s profiles," in Advances in information retrieval, Springer Berlin Heidelberg, 2013, pp. 74-85.
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- Anonymization
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- M. L. Maag, L. Denoyer, and P. Gallinari, "Graph anonymization using machine learning," in Advanced information networking and applications (aina), 2014 ieee 28th international conference on, 2014, pp. 1111-1118.
[Bibtex]@inproceedings{maag2014graph, title={Graph Anonymization using Machine Learning}, author={Maag, Maria Laura and Denoyer, Ludovic and Gallinari, Patrick}, booktitle={Advanced Information Networking and Applications (AINA), 2014 IEEE 28th International Conference on}, pages={1111--1118}, year={2014}, organization={IEEE} }
- M. L. Maag, L. Denoyer, and P. Gallinari, "Graph anonymization using machine learning," in Advanced information networking and applications (aina), 2014 ieee 28th international conference on, 2014, pp. 1111-1118.
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- Heterogeneous Graphs