| 2003 |
Gestion de l'information en temps réel pour un répartiteur de véhicules |
Xu, Ying |
Potvin, Jean-Yves; BENYAHIA, ILHAM |
| 1992 |
Un environnement interactif-graphique pour le développement d'algorithmes de génération automatique d'arbres de décisions |
Kervahut, Tanguy |
Potvin, Jean-Yves |
| 2016 |
Méthode de recherche à grand voisinage pour un problème de tournées de véhicules avec flotte privée et transporteur externe |
Edoukou, Frédéric Aka Bilé |
Potvin, Jean-Yves |
| 1993 |
Affectation de clients dans des routes de véhicules à l'aide de réseaux neuronaux |
Robillard, Christian |
Potvin, Jean-Yves |
| 2008 |
Recherche tabou pour un problème de tournées de véhicules avec une flotte privée et un transporteur externe |
Naud, Marc-André |
Potvin, Jean-Yves |
| 1996 |
Approches génétiques pour le problème de répartition de véhicules |
Leclerc, François |
Potvin, Jean-Yves |
| 1993 |
Test generation based on an FSM model with timers and counters |
Liu, Fang |
Petrenko, Alexandre |
| 2025 |
Uncertainty quantification metrics for scientific application |
Sharief, Sammy |
Perreault-Levasseur, Laurence |
| 2020 |
On learning and generalization in unstructured taskspaces |
Mehta, Bhairav |
Paull, Liam; Pal, Christopher |
| 2020 |
Programming tools for intelligent systems |
Considine, Breandan |
Paull, Liam; Famelis, Michalis |
| 2024 |
Understanding our 3D world via generative modeling |
Liu, Zhen |
Paull, Liam; Bengio, Yoshua |
| 2023 |
Generative models : from data generation to representation learning |
Zhang, Ruixiang |
Paull, Liam; Bengio, Yoshua |
| 2021 |
Lifelong topological visual navigation |
Wiyatno, Rey R. |
Paull, Liam |
| 2019 |
Deep active localization |
Gottipati, Vijaya Sai Krishna |
Paull, Liam |
| 2023 |
Fear prediction for training robust RL agents |
Gauthier, Charlie |
Paull, Liam |
| 2021 |
Variational aleatoric uncertainty calibration in neural regression |
Bhatt, Dhaivat |
Paull, Liam |
| 2022 |
Differentiable world programs |
Jatavallabhul, Krishna Murthy |
Paull, Liam |
| 2024 |
Leveraging foundation models towards semantic world representations for robotics |
Kuwajerwala, Alihusein |
Paull, Liam |
| 2025 |
Machine learning through the sciences of the artificial |
Diaz Cabrera, Manfred Ramon |
Paull, Liam |
| 2025 |
CLIP-Enhance : improving CLIP zero-shot classification via von Mises-Fisher clustering |
Sandhu, Mahtab |
Paull, Liam |
| 2023 |
Calibrated uncertainty estimation for SLAM |
Bansal, Dishank |
Paull, Liam |
| 2020 |
Look-ahead meta-learning for continual learning |
Gupta, Gunshi |
Paull, Liam |
| 2023 |
Leveraging self-supervision for visual embodied navigation with neuralized potential fields |
Saavedra Ruiz, Miguel Angel |
Paull, Liam |
| 2022 |
Reinforcement learning applied to the real world : uncertainty, sample efficiency, and multi-agent coordination |
Mai, Vincent |
Paull, Liam |
| 2020 |
Lifelong learning of concepts in CRAFT |
Vasishta, Nithin Venkatesh |
Paull, Liam |
| 2021 |
On quantifying the value of simulation for training and evaluating robotic agents |
Courchesne, Anthony |
Paull, Liam |
| 2021 |
On representation learning for generative models of text |
Subramanian, Sandeep |
Pal, Christopher; Bengio, Yoshua |
| 2024 |
Self-play for human-agent communication |
Gupta, Abhinav |
Pal, Christopher |
| 2024 |
Searching for Q* |
Piché, Alexandre |
Pal, Christopher |
| 2019 |
Towards Understanding Generalization in Gradient-Based Meta-Learning |
Guiroy, Simon |
Pal, Christopher |
| 2024 |
Enhancing factuality and coverage in summarization via referencing key extracted content |
Belanger Albarran, Georges |
Pal, Christopher |
| 2020 |
Deep reinforcement learning for multi-modal embodied navigation |
Weiss, Martin |
Pal, Christopher |
| 2025 |
3D generative models and score-based diffusion in function space |
Lim, Jae Hyun |
Pal, Christopher |
| 2019 |
Balancing signals for semi-supervised sequence learning |
Xu, Ge Ya |
Pal, Christopher |
| 2019 |
Visual question answering with modules and language modeling |
Pahuja, Vardaan |
Pal, Christopher |
| 2019 |
Real-Time Reinforcement Learning |
Ramstedt, Simon |
Pal, Christopher |
| 2019 |
Unsupervised representation learning in interactive environments |
Racah, Evan |
Pal, Christopher |
| 2026 |
Improving language models for underserved languages and communities |
Emezue, Chris Chinenye |
Pal, Christopher |
| 2023 |
Conditional generative modeling for images, 3D animations, and video |
Voleti, Vikram |
Pal, Christopher |
| 2007 |
Amélioration de la perception spatiale et émotive d'un environnement virtuel interactif par la gestion cinématographique des prises de vue |
Cordeau, Marie-Elise |
Ostromoukhov, Victor; Poulin, Pierre |
| 2007 |
Illustration non-photoréaliste de séquences de captures de mouvements |
Bouvier-Zappa, Simon |
Ostromoukhov, Victor; Poulin, Pierre |
| 2011 |
Le rendu en demi-ton avec sensibilité à la structure |
Chang, Jianghao |
Ostromoukhov, Victor |
| 2004 |
Rendu non-photoréaliste de chevelures |
Côté, Martin |
Ostromoukhov, Victor |
| 2009 |
Rendu d'images en demi-tons par diffusion d'erreur sensible à la structure |
Alain, Benoît |
Ostromoukhov, Victor |
| 2004 |
Échantillonnage basé sur les Tuiles de Penrose et applications en infographie |
Donohue, Charles |
Ostromoukhov, Victor |
| 2007 |
Échantillonnage de produits de fonctions |
Rousselle, Fabrice |
Ostromoukhov, Victor |
| 2016 |
Étude des techniques d’estimation de densité et du tracé de chemins pour le rendu des milieux participatifs |
Vibert, Nicolas |
Nowrouzezahrai, Derek |
| 2014 |
Flou de mouvement réaliste en temps réel |
Guertin-Renaud, Jean-Philippe |
Nowrouzezahrai, Derek |
| 2019 |
Accurate and efficient strategies for the appearance filtering of complex materials |
Gamboa Guzman, Luis Eduardo |
Nowrouzezahrai, Derek |
| 2015 |
Theory and numerical integration of subsurface light transport |
Milaenen, David |
Nowrouzezahrai, Derek |