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Chamorro, S. (2024). Reinforcement Learning for Stair Climbing with Ascento: A Two-Wheeled Legged Robot [Master's thesis, Polytechnique Montréal]. Restricted access
Simard, J.-G. (2021). Learned Image Compression for Machine Visual Perception [Master's thesis, Polytechnique Montréal]. Available
El Hattami, A. (2021). Large Scale Conditional Multitask Learning for Natural Language Processing [Master's thesis, Polytechnique Montréal]. Available
Li, R. (2018). Recommandations conversationnelles dans le domaine des films [Master's thesis, École Polytechnique de Montréal]. Available
Beckham, C. (2017). Techniques in Ordinal Classification and Image-to-Image Translation [Master's thesis, École Polytechnique de Montréal]. Available
Thong, W. (2015). Apprentissage de représentations pour la classification d'images biomédicales [Master's thesis, École Polytechnique de Montréal]. Available
Berthou, L. (2012). Apprentissage de modèles probabilistes pour la vision stéréoscopique en temps réel [Master's thesis, École Polytechnique de Montréal]. Available
Puech, F. (2012). Vers plus de robustesse en reconnaissance d'objets et de visages pour l'analyse d'images issues de vidéos de concert [Master's thesis, École Polytechnique de Montréal]. Available
Ma, L. Y. (2012). Traitement et analyse d'images stéréoscopiques avec les approches du calcul générique sur un processeur graphique [Master's thesis, École Polytechnique de Montréal]. Available
Roy, J. (2024). Effective Reward Specification in Deep Reinforcement Learning [Ph.D. thesis, Polytechnique Montréal]. Restricted access
Beckham, C. (2024). Generalisation with Generative Models [Ph.D. thesis, Polytechnique Montréal]. Restricted access
Ke, N. (2023). From "What" to "Why": Towards Causal Deep Learning [Ph.D. thesis, Polytechnique Montréal]. Restricted access
Angelard-Gontier, N. (2023). Natural Language Reasoning with Transformer Language Models [Ph.D. thesis, Polytechnique Montréal]. Restricted access
Casanova Paga, A. (2023). Active Learning, Controllable Generative Models and Dataset Augmentation [Ph.D. thesis, Polytechnique Montréal]. Restricted access
Maharaj, T. (2022). Generalizing in the Real World with Representation Learning [Ph.D. thesis, Polytechnique Montréal]. Available
Gingras Harvey, F. (2021). Deep Representation Learning of 3D Human Motion with Recurrent Neural Networks [Ph.D. thesis, Polytechnique Montréal]. Available
Vorontsov, E. (2020). On Medical Image Segmentation and on Modeling Long Term Dependencies [Ph.D. thesis, Polytechnique Montréal]. Available
Trabelsi, C. (2019). Stabilizing and Enhancing Learning for Deep Complex and Real Neural Networks [Ph.D. thesis, Polytechnique Montréal]. Available
Ebrahimi Kahou, S. (2016). Emotion Recognition with Deep Neural Networks [Ph.D. thesis, École Polytechnique de Montréal]. Available
Ibrahim, M. (2015). Using Constraint Satisfaction Techniques and Variational Methods for Probabilistic Reasoning [Ph.D. thesis, École Polytechnique de Montréal]. Available
Hasan, M.D. K. (2014). Face Mining in Wikipedia Biographies [Ph.D. thesis, École Polytechnique de Montréal]. Available
Rim, D. (2013). Weakly-Labeled Data and Identity-Normalization for Facial Image Analysis [Ph.D. thesis, École Polytechnique de Montréal]. Available