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2020 – today
- 2023
[c91]Anthony Kobanda
, Valliappan C. A., Joshua Romoff, Ludovic Denoyer:
Learning Computational Efficient Bots with Costly Features. CoG 2023: 1-8- [c90]Mingxi Tan, Andong Tian, Ludovic Denoyer:
Policy Diversity for Cooperative Agents. CoG 2023: 1-4 - [c89]Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu:
Building a Subspace of Policies for Scalable Continual Learning. ICLR 2023 - [i42]Anthony Kobanda, Valliappan C. A., Joshua Romoff, Ludovic Denoyer:
Learning Computational Efficient Bots with Costly Features. CoRR abs/2308.09629 (2023) - [i41]Mingxi Tan, Andong Tian, Ludovic Denoyer:
Policy Diversity for Cooperative Agents. CoRR abs/2308.14308 (2023) - 2022
- [c88]Tyler L. Hayes, Maximilian Nickel, Christopher Kanan, Ludovic Denoyer, Arthur Szlam:
Can I see an Example? Active Learning the Long Tail of Attributes and Relations. BMVC 2022: 134 - [c87]Mingxi Tan, Andong Tian, Ludovic Denoyer:
Regularized Soft Actor-Critic for Behavior Transfer Learning. CoG 2022: 516-519 - [c86]Pierre Erbacher, Ludovic Denoyer, Laure Soulier:
Interactive Query Clarification and Refinement via User Simulation - Abstract. CIRCLE 2022 - [c85]Lucas Caccia, Jing Xu, Myle Ott, Marc'Aurelio Ranzato, Ludovic Denoyer:
On Anytime Learning at Macroscale. CoLLAs 2022: 165-182 - [c84]Jean-Baptiste Gaya, Laure Soulier, Ludovic Denoyer:
Learning a subspace of policies for online adaptation in Reinforcement Learning. ICLR 2022 - [c83]Pierre-Alexandre Kamienny, Jean Tarbouriech, Sylvain Lamprier, Alessandro Lazaric, Ludovic Denoyer:
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching. ICLR 2022 - [c82]Pierre Erbacher, Ludovic Denoyer, Laure Soulier:
Interactive Query Clarification and Refinement via User Simulation. SIGIR 2022: 2420-2425 - [c81]Akram Erraqabi, Marlos C. Machado, Mingde Zhao, Sainbayar Sukhbaatar, Alessandro Lazaric, Ludovic Denoyer, Yoshua Bengio:
Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL. UAI 2022: 641-651 - [i40]Pierre Erbacher, Laure Soulier, Ludovic Denoyer:
State of the Art of User Simulation approaches for conversational information retrieval. CoRR abs/2201.03435 (2022) - [i39]Tyler L. Hayes, Maximilian Nickel, Christopher Kanan, Ludovic Denoyer, Arthur Szlam:
Can I see an Example? Active Learning the Long Tail of Attributes and Relations. CoRR abs/2203.06215 (2022) - [i38]Akram Erraqabi, Marlos C. Machado, Mingde Zhao, Sainbayar Sukhbaatar, Alessandro Lazaric, Ludovic Denoyer, Yoshua Bengio:
Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL. CoRR abs/2203.11369 (2022) - [i37]Pierre Erbacher, Ludovic Denoyer, Laure Soulier:
Interactive Query Clarification and Refinement via User Simulation. CoRR abs/2205.15918 (2022) - [i36]Mingxi Tan, Andong Tian, Ludovic Denoyer:
Regularized Soft Actor-Critic for Behavior Transfer Learning. CoRR abs/2209.13224 (2022) - [i35]Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu:
Building a Subspace of Policies for Scalable Continual Learning. CoRR abs/2211.10445 (2022) - 2021
- [j19]Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer:
Deep dynamic neural networks for temporal language modeling in author communities. Knowl. Inf. Syst. 63(3): 733-757 (2021) - [c80]Tom Veniat, Ludovic Denoyer, Marc'Aurelio Ranzato:
Efficient Continual Learning with Modular Networks and Task-Driven Priors. ICLR 2021 - [c79]Federico Errica, Fabrizio Silvestri, Bora Edizel, Ludovic Denoyer, Fabio Petroni, Vassilis Plachouras, Sebastian Riedel:
Concept Matching for Low-Resource Classification. IJCNN 2021: 1-8 - [i34]Lucas Caccia, Jing Xu, Myle Ott, Marc'Aurelio Ranzato, Ludovic Denoyer:
On Anytime Learning at Macroscale. CoRR abs/2106.09563 (2021) - [i33]Jean-Baptiste Gaya, Laure Soulier, Ludovic Denoyer:
Learning a subspace of policies for online adaptation in Reinforcement Learning. CoRR abs/2110.05169 (2021) - [i32]Ludovic Denoyer, Alfredo De la Fuente, Song Duong, Jean-Baptiste Gaya, Pierre-Alexandre Kamienny, Daniel H. Thompson:
SaLinA: Sequential Learning of Agents. CoRR abs/2110.07910 (2021) - [i31]Pierre-Alexandre Kamienny, Jean Tarbouriech, Alessandro Lazaric, Ludovic Denoyer:
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching. CoRR abs/2110.14457 (2021) - 2020
- [j18]Qi Wang, Thierry Artières, Mickaël Chen, Ludovic Denoyer:
Adversarial learning for modeling human motion. Vis. Comput. 36(1): 141-160 (2020) - [c78]Perrine Cribier-Delande, Raphaël Puget, Vincent Guigue, Ludovic Denoyer:
Time Series Prediction using Disentangled Latent Factors. ESANN 2020: 115-120 - [c77]Perrine Cribier-Delande, Raphaël Puget, Camille Noûs, Vincent Guigue, Ludovic Denoyer:
Time series prediction & generation from disentangled latent factors: new opportunities for smart cities. ITSC 2020: 1-6 - [i30]Pierre-Alexandre Kamienny, Matteo Pirotta, Alessandro Lazaric, Thibault Lavril, Nicolas Usunier, Ludovic Denoyer:
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization. CoRR abs/2005.02934 (2020) - [i29]Federico Errica, Ludovic Denoyer, Bora Edizel, Fabio Petroni, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel:
Concept Matching for Low-Resource Classification. CoRR abs/2006.00937 (2020) - [i28]Tom Veniat, Ludovic Denoyer, Marc'Aurelio Ranzato:
Efficient Continual Learning with Modular Networks and Task-Driven Priors. CoRR abs/2012.12631 (2020)
2010 – 2019
- 2019
- [j17]Edouard Delasalles, Ali Ziat, Ludovic Denoyer, Patrick Gallinari:
Spatio-temporal neural networks for space-time data modeling and relation discovery. Knowl. Inf. Syst. 61(3): 1241-1267 (2019) - [c76]Patrick S. H. Lewis, Ludovic Denoyer, Sebastian Riedel:
Unsupervised Question Answering by Cloze Translation. ACL (1) 2019: 4896-4910 - [c75]Wafa Aissa, Laure Soulier, Ludovic Denoyer:
Modèle de compréhension du besoin en information pour la recherche d'information conversationnelle. CORIA 2019 - [c74]Tom Véniat, Olivier Schwander, Ludovic Denoyer:
Stochastic Adaptive Neural Architecture Search for Keyword Spotting. ICASSP 2019: 2842-2846 - [c73]Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer:
Learning Dynamic Author Representations with Temporal Language Models. ICDM 2019: 120-129 - [c72]Guillaume Lample, Sandeep Subramanian, Eric Michael Smith, Ludovic Denoyer, Marc'Aurelio Ranzato, Y-Lan Boureau:
Multiple-Attribute Text Rewriting. ICLR (Poster) 2019 - [c71]Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer:
Dynamic Neural Language Models. ICONIP (3) 2019: 282-294 - [c70]Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou:
Large Memory Layers with Product Keys. NeurIPS 2019: 8546-8557 - [c69]Mickaël Chen, Thierry Artières, Ludovic Denoyer:
Unsupervised Object Segmentation by Redrawing. NeurIPS 2019: 12705-12716 - [i27]Diane Bouchacourt, Ludovic Denoyer:
EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction. CoRR abs/1905.11852 (2019) - [i26]Mickaël Chen, Thierry Artières, Ludovic Denoyer:
Unsupervised Object Segmentation by Redrawing. CoRR abs/1905.13539 (2019) - [i25]Patrick S. H. Lewis, Ludovic Denoyer, Sebastian Riedel:
Unsupervised Question Answering by Cloze Translation. CoRR abs/1906.04980 (2019) - [i24]Thomas Gerald, Aurélia Léon, Nicolas Baskiotis, Ludovic Denoyer:
Binary Stochastic Representations for Large Multi-class Classification. CoRR abs/1906.09838 (2019) - [i23]Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou:
Large Memory Layers with Product Keys. CoRR abs/1907.05242 (2019) - [i22]Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer:
Learning Dynamic Author Representations with Temporal Language Models. CoRR abs/1909.04985 (2019) - 2018
- [j16]Nassim Aklil, Benoît Girard, Ludovic Denoyer, Mehdi Khamassi:
Sequential Action Selection and Active Sensing for Budgeted Localization in Robot Navigation. Int. J. Semantic Comput. 12(1): 109-128 (2018) - [j15]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): 62:1-62:33 (2018) - [c68]Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer:
Apprentissage de l'évolution langagière dans des communautés d'auteurs. CORIA 2018 - [c67]Tom Veniat, Ludovic Denoyer:
Learning Time/Memory-Efficient Deep Architectures With Budgeted Super Networks. CVPR 2018: 3492-3500 - [c66]Wafa Aissa, Laure Soulier, Ludovic Denoyer:
A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems. SCAI@EMNLP 2018: 33-39 - [c65]Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato:
Phrase-Based & Neural Unsupervised Machine Translation. EMNLP 2018: 5039-5049 - [c64]Qi Wang, Mickaël Chen, Thierry Artières, Ludovic Denoyer:
transferring style in motion capture sequences with adversarial learning. ESANN 2018 - [c63]Mickaël Chen, Ludovic Denoyer, Thierry Artières:
Multi-View Data Generation Without View Supervision. ICLR (Poster) 2018 - [c62]Guillaume Lample, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato:
Unsupervised Machine Translation Using Monolingual Corpora Only. ICLR (Poster) 2018 - [c61]Guillaume Lample, Alexis Conneau, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou:
Word translation without parallel data. ICLR (Poster) 2018 - [c60]Aurélia Léon, Ludovic Denoyer:
Budgeted Hierarchical Reinforcement Learning. IJCNN 2018: 1-8 - [i21]Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato:
Phrase-Based & Neural Unsupervised Machine Translation. CoRR abs/1804.07755 (2018) - [i20]Ali Ziat, Edouard Delasalles, Ludovic Denoyer, Patrick Gallinari:
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery. CoRR abs/1804.08562 (2018) - [i19]Wafa Aissa, Laure Soulier, Ludovic Denoyer:
A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems. CoRR abs/1809.01495 (2018) - [i18]Sandeep Subramanian, Guillaume Lample, Eric Michael Smith, Ludovic Denoyer, Marc'Aurelio Ranzato, Y-Lan Boureau:
Multiple-Attribute Text Style Transfer. CoRR abs/1811.00552 (2018) - [i17]Tom Véniat, Olivier Schwander, Ludovic Denoyer:
Stochastic Adaptive Neural Architecture Search for Keyword Spotting. CoRR abs/1811.06753 (2018) - 2017
- [c59]Ali Ziat, Edouard Delasalles, Ludovic Denoyer, Patrick Gallinari:
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery. ICDM 2017: 705-714 - [c58]Thomas Gerald, Nicolas Baskiotis, Ludovic Denoyer:
Binary Stochastic Representations for Large Multi-class Classification. ICONIP (1) 2017: 155-165 - [c57]Nassim Aklil, Benoît Girard, Mehdi Khamassi, Ludovic Denoyer:
Sequential Action Selection for Budgeted Localization in Robots. IRC 2017: 97-100 - [c56]Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato:
Fader Networks: Manipulating Images by Sliding Attributes. NIPS 2017: 5967-5976 - [c55]Gabriella Contardo, Ludovic Denoyer, Thierry Artières:
A Meta-Learning Approach to One-Step Active-Learning. AutoML@PKDD/ECML 2017: 28-40 - [c54]Mickaël Chen, Ludovic Denoyer:
Multi-view Generative Adversarial Networks. ECML/PKDD (2) 2017: 175-188 - [i16]Tom Veniat, Ludovic Denoyer:
Learning Time-Efficient Deep Architectures with Budgeted Super Networks. CoRR abs/1706.00046 (2017) - [i15]Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato:
Fader Networks: Manipulating Images by Sliding Attributes. CoRR abs/1706.00409 (2017) - [i14]Gabriella Contardo, Ludovic Denoyer, Thierry Artières:
A Meta-Learning Approach to One-Step Active Learning. CoRR abs/1706.08334 (2017) - [i13]Alexis Conneau, Guillaume Lample, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou:
Word Translation Without Parallel Data. CoRR abs/1710.04087 (2017) - [i12]Guillaume Lample, Ludovic Denoyer, Marc'Aurelio Ranzato:
Unsupervised Machine Translation Using Monolingual Corpora Only. CoRR abs/1711.00043 (2017) - [i11]Mickaël Chen, Ludovic Denoyer, Thierry Artières:
Multi-View Data Generation Without View Supervision. CoRR abs/1711.00305 (2017) - 2016
- [c53]Aurélia Léon, Ludovic Denoyer:
Policy-gradient methods for Decision Trees. ESANN 2016 - [c52]Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer:
Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series. ESANN 2016 - [c51]Gabriella Contardo, Ludovic Denoyer, Thierry Artières:
Recurrent Neural Networks for Adaptive Feature Acquisition. ICONIP (3) 2016: 591-599 - [c50]Gabriella Contardo, Ludovic Denoyer, Thierry Artières:
Sequential Cost-Sensitive Feature Acquisition. IDA 2016: 284-294 - [c49]Ali Ziat, Bertrand Leroy, Nicolas Baskiotis, Ludovic Denoyer:
Joint prediction of road-traffic and parking occupancy over a city with representation learning. ITSC 2016: 725-730 - [i10]Gabriella Contardo, Ludovic Denoyer, Thierry Artières:
Sequential Cost-Sensitive Feature Acquisition. CoRR abs/1607.03691 (2016) - [i9]Mickaël Chen, Ludovic Denoyer:
Multi-view Generative Adversarial Networks. CoRR abs/1611.02019 (2016) - [i8]Aurélia Léon, Ludovic Denoyer:
Options Discovery with Budgeted Reinforcement Learning. CoRR abs/1611.06824 (2016) - 2015
- [j14]Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier:
Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux. Document Numérique 18(2-3): 39-58 (2015) - [c48]Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier:
Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux. CORIA 2015: 7-22 - [c47]Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer:
Car-Traffic Forecasting: A Representation Learning Approach. MUD@ICML 2015: 85-87 - [c46]Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier:
WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media. ICWSM 2015: 130-139 - [c45]Gabriella Contardo, Ludovic Denoyer, Thierry Artières:
Representation Learning for cold-start recommendation. ICLR (Workshop) 2015 - [i7]Aurélia Léon, Ludovic Denoyer:
Reinforced Decision Trees. CoRR abs/1505.00908 (2015) - 2014
- [c44]Maria Laura Maag, Ludovic Denoyer, Patrick Gallinari:
Graph Anonymization Using Machine Learning. AINA 2014: 1111-1118 - [c43]Simon Bourigault, Cédric Lagnier, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari:
Apprentissage de représentation pour la diffusion d'Information dans les réseaux sociaux. CORIA-CIFED 2014: 155-170 - [c42]Yann Jacob, Ludovic Denoyer, Patrick Gallinari:
Learning latent representations of nodes for classifying in heterogeneous social networks. WSDM 2014: 373-382 - [c41]Simon Bourigault, Cédric Lagnier, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari:
Learning social network embeddings for predicting information diffusion. WSDM 2014: 393-402 - [c40]Gabriella Contardo, Ludovic Denoyer, Thierry Artières, Patrick Gallinari:
Learning States Representations in POMDP. ICLR (Workshop Poster) 2014 - [c39]Gabriel Dulac-Arnold, Ludovic Denoyer, Nicolas Thome, Matthieu Cord, Patrick Gallinari:
Sequentially Generated Instance-Dependent Image Representations for Classification. ICLR 2014 - [c38]Cédric Lagnier, Simon Bourigault, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari:
Learning Information Spread in Content Networks. ICLR (Workshop Poster) 2014 - [i6]Ludovic Denoyer, Patrick Gallinari:
Deep Sequential Neural Network. CoRR abs/1410.0510 (2014) - 2013
- [c37]Ricardo Lage, Ludovic Denoyer, Patrick Gallinari, Peter Dolog:
Choosing which message to publish on social networks: a contextual bandit approach. ASONAM 2013: 620-627 - [c36]Yann Jacob, Ludovic Denoyer, Patrick Gallinari:
Classification dans les graphes hétérogènes basée sur une représentation latente des noeuds. CORIA 2013: 85-100 - [c35]Cédric Lagnier, Ludovic Denoyer, Éric Gaussier, Patrick Gallinari:
Predicting Information Diffusion in Social Networks Using Content and User's Profiles. ECIR 2013: 74-85 - [c34]Sheng Gao, Ludovic Denoyer, Patrick Gallinari, Jun Guo:
Latent Factor BlockModel for Modelling Relational Data. ECIR 2013: 447-458 - 2012
- [j13]Yann Jacob, Ludovic Denoyer, Patrick Gallinari:
Apprentissage automatique de la propagation des étiquettes dans les réseaux sociaux multirelationnels. Document Numérique 15(1): 79-99 (2012) - [j12]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Prédiction de liens temporels en intégrant les informations de contenu et de structure. Ingénierie des Systèmes d Inf. 17(6): 75-90 (2012) - [j11]Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari:
Sequential approaches for learning datum-wise sparse representations. Mach. Learn. 89(1-2): 87-122 (2012) - [j10]Stéphane Peters, Yann Jacob, Ludovic Denoyer, Patrick Gallinari:
Iterative Multi-label Multi-relational Classification Algorithm for complex social networks. Soc. Netw. Anal. Min. 2(1): 17-29 (2012) - [c33]Gabriel Dulac-Arnold, Ludovic Denoyer, Patrick Gallinari:
Lecture Séquentielle de Documents pour la Classification. CORIA 2012: 245-259 - [c32]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Probabilistic Latent Tensor Factorization model for link pattern prediction. IC-NIDC 2012: 549-553 - [c31]Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari:
Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization. ECML/PKDD (2) 2012: 180-194 - [c30]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Link prediction via latent factor BlockModel. WWW (Companion Volume) 2012: 507-508 - [c29]Anis Najar, Ludovic Denoyer, Patrick Gallinari:
Predicting information diffusion on social networks with partial knowledge. WWW (Companion Volume) 2012: 1197-1204 - [p2]Francis Maes, Ludovic Denoyer, Patrick Gallinari:
Corpus-Based Structure Mapping of XML Document Corpora: A Reinforcement Learning Based Model. Modeling, Learning, and Processing of Text Technological Data Structures 2012: 249-266 - [i5]Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari:
Fast Reinforcement Learning with Large Action Sets using Error-Correcting Output Codes for MDP Factorization. CoRR abs/1203.0203 (2012) - [i4]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Modeling Relational Data via Latent Factor Blockmodel. CoRR abs/1204.2581 (2012) - [i3]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks. CoRR abs/1204.2588 (2012) - 2011
- [c28]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Link Pattern Prediction with tensor decomposition in multi-relational networks. CIDM 2011: 333-340 - [c27]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Temporal link prediction by integrating content and structure information. CIKM 2011: 1169-1174 - [c26]Yann Jacob, Ludovic Denoyer, Patrick Gallinari:
Classification and annotation in social corpora using multiple relations. CIKM 2011: 1215-1220 - [c25]Yann Jacob, Ludovic Denoyer, Patrick Gallinari:
Apprentissage des schémas de propagation dans les multi-graphes. CORIA 2011: 159-174 - [c24]Gabriel Dulac-Arnold, Ludovic Denoyer, Patrick Gallinari:
Text Classification: A Sequential Reading Approach. ECIR 2011: 411-423 - [c23]Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari:
Datum-Wise Classification: A Sequential Approach to Sparsity. ECML/PKDD (1) 2011: 375-390 - [i2]Gabriel Dulac-Arnold, Ludovic Denoyer, Patrick Gallinari:
Text Classification: A Sequential Reading Approach. CoRR abs/1107.1322 (2011) - [i1]Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari:
Datum-Wise Classification: A Sequential Approach to Sparsity. CoRR abs/1108.5668 (2011) - 2010
- [j9]Thomas Beckers, Patrice Bellot, Gianluca Demartini, Ludovic Denoyer, Christopher M. De Vries, Antoine Doucet, Khairun Nisa Fachry, Norbert Fuhr, Patrick Gallinari, Shlomo Geva, Wei Chi Huang, Tereza Iofciu, Jaap Kamps, Gabriella Kazai, Marijn Koolen, Sangeetha Kutty, Monica Landoni, Miro Lehtonen, Véronique Moriceau, Richi Nayak, Ragnar Nordlie, Nils Pharo, Eric SanJuan, Ralf Schenkel, Xavier Tannier, Martin Theobald, James A. Thom, Andrew Trotman, Arjen P. de Vries:
Report on INEX 2009. SIGIR Forum 44(1): 38-57 (2010) - [c22]Stéphane Peters, Ludovic Denoyer, Patrick Gallinari:
Iterative Annotation of Multi-relational Social Networks. ASONAM 2010: 96-103 - [c21]Ludovic Denoyer, Patrick Gallinari:
Modèles d'Ordonnancement pour l'Annotation Automatique d'Images dans les Réseaux Sociaux. CORIA 2010: 115-129 - [c20]Ludovic Denoyer, Patrick Gallinari:
A Ranking Based Model for Automatic Image Annotation in a Social Network. ICWSM 2010
2000 – 2009
- 2009
- [j8]Francis Maes, Ludovic Denoyer, Patrick Gallinari:
Structured prediction with reinforcement learning. Mach. Learn. 77(2-3): 271-301 (2009) - [j7]Gianluca Demartini, Ludovic Denoyer, Antoine Doucet, Khairun Nisa Fachry, Patrick Gallinari, Shlomo Geva, Darren Wei Che Huang, Tereza Iofciu, Jaap Kamps, Gabriella Kazai, Marijn Koolen, Monica Landoni, Ragnar Nordlie, Nils Pharo, Ralf Schenkel, Martin Theobald, Andrew Trotman, Arjen P. de Vries, Alan Woodley, Jianhan Zhu:
Report on INEX 2008. SIGIR Forum 43(1): 17-36 (2009) - [c19]Ali Fakeri-Tabrizi, Sabrina Tollari, Ludovic Denoyer, Patrick Gallinari:
UPMC/LIP6 at ImageCLEFannotation2009: Large Scale Visual Concept Detection and Annotation. CLEF (Working Notes) 2009 - [c18]Richi Nayak, Christopher M. De Vries, Sangeetha Kutty, Shlomo Geva, Ludovic Denoyer, Patrick Gallinari:
Overview of the INEX 2009 XML Mining Track: Clustering and Classification of XML Documents. INEX 2009: 366-378 - [c17]Francis Maes, Stéphane Peters, Ludovic Denoyer, Patrick Gallinari:
Simulated Iterative Classification A New Learning Procedure for Graph Labeling. ECML/PKDD (2) 2009: 47-62 - [r1]Ludovic Denoyer:
Semi-Structured Document Classification. Encyclopedia of Data Warehousing and Mining 2009: 1779-1786 - 2008
- [j6]Ludovic Denoyer, Patrick Gallinari:
Report on the XML mining track at INEX 2007 categorization and clustering of XML documents. SIGIR Forum 42(1): 22-28 (2008) - [c16]Francis Maes, Ludovic Denoyer, Patrick Gallinari:
Apprentissage de conversion de documents semi-structurés à partir d'exemples. CORIA 2008: 181-196 - [c15]Francis Maes, Ludovic Denoyer, Patrick Gallinari:
Applications of Reinforcement Learning to Structured Prediction. EWRL 2008: 205-219 - [c14]Ludovic Denoyer, Patrick Gallinari:
Overview of the INEX 2008 XML Mining Track. INEX 2008: 401-411 - [p1]Ludovic Denoyer, Patrick Gallinari:
Machine Learning for Semi-structured Multimedia Documents: Application to Pornographic Filtering and Thematic Categorization. Machine Learning Techniques for Multimedia 2008: 227-247 - 2007
- [j5]Guillaume Wisniewski, Francis Maes, Ludovic Denoyer:
Modèle probabiliste pour l'extraction de structures dans les documents web. Document Numérique 10(1): 89-107 (2007) - [j4]Ludovic Denoyer, Patrick Gallinari:
Report on the XML mining track at INEX 2005 and INEX 2006: categorization and clustering of XML documents. SIGIR Forum 41(1): 79-90 (2007) - [c13]Adam Meyers, Nancy Ide, Ludovic Denoyer, Yusuke Shinyama:
Shared Corpora Working Group Report. LAW@ACL 2007: 184-190 - [c12]Francis Maes, Ludovic Denoyer, Patrick Gallinari:
Sequence Labeling with Reinforcement Learning and Ranking Algorithms. ECML 2007: 648-657 - [c11]Guillaume Wisniewski, Francis Maes, Ludovic Denoyer, Patrick Gallinari:
Probabilistic Model for Structured Document Mapping. MLDM 2007: 854-867 - 2006
- [j3]Ludovic Denoyer, Patrick Gallinari:
The Wikipedia XML corpus. SIGIR Forum 40(1): 64-69 (2006) - [c10]Guillaume Wisniewski, Ludovic Denoyer, Francis Maes, Patrick Gallinari:
Modèle probabiliste pour l'extraction de structures dans les documents semistructurés - Application aux documents Web. CORIA 2006: 169-180 - [c9]Ludovic Denoyer, Patrick Gallinari:
The Wikipedia XML Corpus. INEX 2006: 12-19 - [c8]Ludovic Denoyer, Patrick Gallinari, Anne-Marie Vercoustre:
Report on the XML Mining Track at INEX 2005 and INEX 2006. INEX 2006: 432-443 - [c7]Francis Maes, Ludovic Denoyer, Patrick Gallinari:
XML Structure Mapping. INEX 2006: 540-551 - 2005
- [c6]Guillaume Wisniewski, Ludovic Denoyer, Patrick Gallinari:
Classification automatique de documents structurés. Application au corpus d'arbres étiquetés de type XML. CORIA 2005: 167-184 - [c5]Guillaume Wisniewski, Ludovic Denoyer, Patrick Gallinari:
Restructuration automatique de documents dans les corpus semi-structurés hétérogènes. EGC 2005: 227-238 - 2004
- [j2]Ludovic Denoyer, Patrick Gallinari:
Un modèle de mixture de modèles génératifs pour les documents structurés multimédias. Application à la classification de documents XML et HTML. Document Numérique 8(3): 35-54 (2004) - [j1]Ludovic Denoyer, Patrick Gallinari:
Bayesian network model for semi-structured document classification. Inf. Process. Manag. 40(5): 807-827 (2004) - 2003
- [c4]Ludovic Denoyer, Jean-Noël Vittaut, Patrick Gallinari, Sylvie Brunessaux, Stephan Brunessaux:
Structured multimedia document classification. ACM Symposium on Document Engineering 2003: 153-160 - [c3]Huyen-Trang Vu, Ludovic Denoyer, Patrick Gallinari:
Un modèle statistique pour la classification de documents structurés. EGC 2003: 233-246 - [c2]Ludovic Denoyer, Patrick Gallinari:
A Belief Networks-Based Generative Model for Structured Documents. An Application to the XML Categorization. MLDM 2003: 328-342 - [c1]Ludovic Denoyer, Patrick Gallinari:
Using Belief Networks and Fisher Kernels for Structured Document Classification. PKDD 2003: 120-131
Coauthor Index
[j17] [j15] [i20] [c59] [j14] [c48] [c46] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [i6] [c37] [c36] [c35] [c34] [j13] [j12] [j11] [j10] [c33] [c32] [c31] [c30] [c29] [p2] [i5] [i4] [i3] [c28] [c27] [c26] [c25] [c24] [c23] [i2] [i1] [j9] [c22] [c21] [c20] [j8] [j7] [c19] [c18] [c17] [j6] [c16] [c15] [c14] [p1] [j4] [c12] [c11] [j3] [c10] [c9] [c8] [c7] [c6] [c5] [j2] [j1] [c4] [c3] [c2] [c1]
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