| 2018 |
Improved training of generative models |
Goyal, Anirudh |
Bengio, Yoshua |
| 2006 |
Collaborative filtering techniques for drug discovery |
Erhan, Dumitru |
Bengio, Yoshua |
| 2020 |
Advances in deep learning methods for speech recognition and understanding |
Serdyuk, Dmitriy |
Bengio, Yoshua |
| 2022 |
Latent data augmentation and modular structure for improved generalization |
Lamb, Alexander |
Bengio, Yoshua |
| 2020 |
Neural approaches to dialog modeling |
Sankar, Chinnadhurai |
Bengio, Yoshua |
| 2011 |
Incorporating complex cells into neural networks for pattern classification |
Bergstra, James |
Bengio, Yoshua |
| 2024 |
Deep learning applications to climate change mitigation |
Schmidt, Victor |
Bengio, Yoshua |
| 2017 |
Feedforward deep architectures for classification and synthesis |
Warde-Farley, David |
Bengio, Yoshua |
| 2012 |
Algorithmes d'apprentissage pour la recommandation |
Bisson, Valentin |
Bengio, Yoshua |
| 2013 |
Algorithmes d’apprentissage profonds supervisés et non-supervisés: applications et résultats théoriques |
Thibodeau-Laufer, Eric |
Bengio, Yoshua |
| 2026 |
Understanding and improving vision-language models through the lens of the binding problem |
Assouel, Rim |
Bengio, Yoshua |
| 2020 |
A deep learning theory for neural networks grounded in physics |
Scellier, Benjamin |
Bengio, Yoshua |
| 2019 |
Deep neural networks for natural language processing and its acceleration |
Lin, Zhouhan |
Bengio, Yoshua |
| 2019 |
Learning competitive ensemble of information-constrained primitives |
Sodhani, Shagun |
Bengio, Yoshua |
| 2024 |
Generative flow networks : theory and applications to structure learning |
Deleu, Tristan |
Bengio, Yoshua |
| 2018 |
Auto-Encoders, Distributed Training and Information Representation in Deep Neural Networks |
Alain, Guillaume |
Bengio, Yoshua |
| 2018 |
Analyzing the benefits of communication channels between deep learning models |
Lacaille, Philippe |
Bengio, Yoshua |
| 2013 |
Improving sampling, optimization and feature extraction in Boltzmann machines |
Desjardins, Guillaume |
Bengio, Yoshua; Courville, Aaron |
| 2014 |
Distributed conditional computation |
Léonard, Nicholas |
Bengio, Yoshua; Courville, Aaron |
| 2014 |
Leveraging noisy side information for disentangling of factors of variation in a supervised setting |
Carrier, Pierre Luc |
Bengio, Yoshua; Courville, Aaron |
| 2025 |
Learning generative models from a control perspective |
Zhang, Dinghuai |
Bengio, Yoshua; Courville, Aaron |
| 2018 |
Representation Learning for Visual Data |
Dumoulin, Vincent |
Bengio, Yoshua; Courville, Aaron |
| 2016 |
Sequential modeling, generative recurrent neural networks, and their applications to audio |
Mehri, Soroush |
Bengio, Yoshua; Courville, Aaron |
| 2017 |
Learning visual representations with neural networks for video captioning and image generation |
Yao, Li |
Bengio, Yoshua; Courville, Aaron |
| 2014 |
Deep learning of representations and its application to computer vision |
Goodfellow, Ian |
Bengio, Yoshua; Courville, Aaron |
| 2017 |
Exploring Attention Based Model for Captioning Images |
Xu, Kelvin |
Bengio, Yoshua; Courville, Aaron |
| 2020 |
Méta-enseignement : génération active d’exemples par apprentissage par renforcement |
Larocque, Stéphanie |
Bengio, Yoshua; Frejinger, Emma |
| 2000 |
Architecture et programme d'entraînement pour agents qui apprennent par renforcement |
Desaulniers, Julien |
Bengio, Yoshua; Gendreau, Michel |
| 2025 |
Evaluating and improving mathematical reasoning in large language models via skill combinations |
Shah, Vedant |
Bengio, Yoshua; Goyal, Anirudh |
| 2021 |
Locality and compositionality in representation learning for complex visual tasks |
Sylvain, Tristan |
Bengio, Yoshua; Hjelm, Rex Devon |
| 2009 |
Modèle informatique du coapprentissage des ganglions de la base et du cortex :
l'apprentissage par renforcement et le développement de représentations |
Rivest, François |
Bengio, Yoshua; Kalaska, John Francis |
| 2004 |
Réduction de dimension pour modèles graphiques probabilistes appliqués à la désambiguïsation sémantique |
Boisvert, Maryse |
Bengio, Yoshua; Kegl, Balazs |
| 2020 |
Towards better understanding and improving optimization in recurrent neural networks |
Kanuparthi, Bhargav |
Bengio, Yoshua; Lajoie, Guillaume |
| 2003 |
Quelques modèles de langage statistiques et graphiques lissés avec WordNet |
Jauvin, Christian |
Bengio, Yoshua; Langlais, Philippe |
| 2019 |
On challenges in training recurrent neural networks |
Anbil Parthipan, Sarath Chandar |
Bengio, Yoshua; Larochelle, Hugo |
| 2026 |
Applications of machine learning for biodiversity monitoring |
Teng, Mélisande |
Bengio, Yoshua; Larochelle, Hugo; Rolnick, David |
| 2019 |
Natural image processing and synthesis using deep learning |
Ganin, Iaroslav |
Bengio, Yoshua; Lempitsky, Victor |
| 2023 |
Learning and planning with noise in optimization and reinforcement learning |
Thomas, Valentin |
Bengio, Yoshua; Le Roux, Nicolas |
| 2016 |
Designing Regularizers and Architectures for Recurrent Neural Networks |
Krueger, David |
Bengio, Yoshua; Memisevic, Roland |
| 2016 |
Structured prediction and generative modeling using neural networks |
Kastner, Kyle |
Bengio, Yoshua; Memisevic, Roland |
| 2014 |
Modeling High-Dimensional Audio Sequences with Recurrent Neural Networks |
Boulanger-Lewandowski, Nicolas |
Bengio, Yoshua; Vincent, Pascal |
| 2024 |
Intrinsic exploration for reinforcement learning beyond rewards |
Creus-Castanyer, Roger |
Berseth, Glen |
| 2023 |
Deep learning on signals : discretization invariance, lossless compression and nonuniform compression |
Demeule, Léa |
Berseth, Glen |
| 2022 |
Stability-aware simplification of curve networks |
Neveu, William |
Bessmeltsev, Mikhail |
| 2025 |
Interpreting and generating drawings via learning, geometry processing, and optimization |
Puhachov, Ivan |
Bessmeltsev, Mikhail |
| 2025 |
Inferring 2D and 3D character animation from sketches |
Brodt, Kirill |
Bessmeltsev, Mikhail |
| 1990 |
Sélection et implantation de séquences de tests pour le protocole de liaison des réseaux numériques multiservices |
Boucher, Jean |
Bochmann, Gregor V. |
| 2000 |
Vers la construction automatique d'un module inconnu dans un système composé |
Drissi, Jawad |
Bochmann, Gregor V. |
| 1997 |
Développement d'un éditeur graphique pour les suites de tests de protocoles de communication |
Soukeur, Abdelouahed |
Bochmann, Gregor V. |
| 1992 |
Synthèse de spécifications de protocole à partir de spécifications de service |
Antonescu, Christian Kant |
Bochmann, Gregor V. |