2001 |
Modélisation des effets réseaux dans le transport des matières dangereuses |
Benterki, Amina |
Crainic, Teodor Gabriel; Gendreau, Michel |
2001 |
Évaluation de la performance d'une application de type commerce électronique |
Helou, Charles |
Crainic, Teodor Gabriel; Dssouli, Rachida |
2020-12 |
Towards deep unsupervised inverse graphics |
Parent-Lévesque, Jérôme |
Courville, Aaron; Nowrouzezahrai, Derek |
2016-12 |
Speech synthesis using recurrent neural networks |
Rodríguez Sotelo, José Manuel |
Courville, Aaron; Bengio, Yoshua |
2016-05 |
Towards deep semi supervised learning |
Pezeshki, Mohammad |
Courville, Aaron; Bengio, Yoshua |
2019-05 |
Representation learning for dialogue systems |
Serban, Iulian Vlad |
Courville, Aaron; Bengio, Yoshua |
2024-05 |
Beyond the status quo in deep reinforcement learning |
Agarwal, Rishabh |
Courville, Aaron; Bellemare, Marc |
2022-05 |
Advances in generative models for dynamic scenes |
Castrejon Subira, Lluis Enric |
Courville, Aaron; Ballas, Nicolas |
2021-04 |
Continuous coordination as a realistic scenario for lifelong learning |
Badrinaaraayanan, Akilesh |
Courville, Aaron; Anbil Parthipan, Sarath Chandar |
2019-12 |
Representation learning in unsupervised domain translation |
Lavoie-Marchildon, Samuel |
Courville, Aaron |
2018-07 |
Generative models : a critical review |
Lamb, Alexander |
Courville, Aaron |
2022-01 |
On iterated learning for task-oriented dialogue |
Singhal, Soumye |
Courville, Aaron |
2024-03 |
Self-supervision for reinforcement learning |
Anand, Ankesh |
Courville, Aaron |
2023-08 |
Coordination in generative modeling, automatic differentiation and multi-agent learning |
Cooijmans, Tim M.E. |
Courville, Aaron |
2017-08 |
Generative models for natural images |
Ahmed, Faruk |
Courville, Aaron |
2019-12 |
Emerging communication between competitive agents |
Noukhovitch, Mikhail |
Courville, Aaron |
2016-08 |
Influencing the Properties of Latent Spaces |
Zumer, Jeremie |
Courville, Aaron |
2020-08 |
On improving variational inference with low-variance multi-sample estimators |
Dhekane, Eeshan Gunesh |
Courville, Aaron |
2023-07 |
Differentiable best response shaping |
Aghajohari, Milad |
Courville, Aaron |
2021-12 |
AI alignment and generalization in deep learning |
Krueger, David |
Courville, Aaron |
2023-05 |
Emergence of language-like latents in deep neural networks |
Lu, Yuchen |
Courville, Aaron |
2020-03 |
Deep learning and reinforcement learning methods for grounded goal-oriented dialogue |
de Vries, Harm |
Courville, Aaron |
2022-08 |
On discovering and learning structure under limited supervision |
Mudumba, Sai Rajeswar |
Courville, Aaron |
2023-08 |
Improving predictive behavior under distributional shift |
Ahmed, Faruk |
Courville, Aaron |
2018-12 |
Advances in deep learning with limited supervision and computational resources |
Almahairi, Amjad |
Courville, Aaron |
2018-08 |
Latent variable language models |
Tan, Shawn |
Courville, Aaron |
2019-07 |
Towards learning sentence representation with self-supervision |
Hosseini, Seyedarian |
Courville, Aaron |
2019-08 |
No Press Diplomacy |
Paquette, Philip |
Courville, Aaron |
2022-08 |
Syntactic inductive biases for deep learning methods |
Shen, Yikang |
Courville, Aaron |
2018-04 |
Sequence to sequence learning and its speech applications |
Zhang, Ying |
Courville, Aaron |
2023-08 |
Sequential decision modeling in uncertain conditions |
Kastner, Kyle |
Courville, Aaron |
2020-09 |
Estimation neuronale de l'information mutuelle |
Belghazi, Mohamed |
Courville, Aaron |
2017-12 |
Deep Learning for Video Modelling |
Mastropietro, Olivier |
Courville, Aaron |
2023-10 |
Probability flows in deep learning |
Huang, Chin-Wei |
Courville, Aaron |
2002 |
Modèle d'équilibre dans les réseaux de transport en commun : le cas des capacités explicites des services |
Cepeda, Manuel |
Cominetti, Roberto; Florian, Michael |
2000 |
Allotment of aircraft spare parts using genetic algorithms |
Batchoun, Pascale |
Cleroux, Robert; Ferland, Jacques |
2020-12 |
Recommandation conversationnelle : écoutez avant de parlez |
Vachon, Nicholas |
Charlin, Laurent; Pal, Christopher |
2021-10 |
Better representation learning for TPMS |
Raza, Amir |
Charlin, Laurent; Farnadi, Golnoosh |
2021-06 |
Self-supervision for data interpretability in image classification and sample efficiency in reinforcement learning |
Rajkumar, Nitarshan |
Charlin, Laurent |
2001 |
Model reductions in MDG-based model checking |
Hou, Jin |
Cerny, Eduard; Song, Xiaoyu |