Modeling Deep Temporal Dependencies with Recurrent "Grammar Cells". - Vincent Michalski; Roland Memisevic; Kishore Reddy Konda (NIPS, 2014)

The role of spatio-temporal synchrony in the encoding of motion. - Kishore Reddy Konda; Roland Memisevic; Vincent Michalski (ICLR (Poster), 2014)

Modeling sequential data using higher-order relational features and predictive training. - Vincent Michalski; Roland Memisevic; Kishore Reddy Konda (CoRR, 2014)

Recurrent Neural Networks for Emotion Recognition in Video. - Samira Ebrahimi Kahou; Vincent Michalski; Kishore Reddy Konda; Roland Memisevic; Christopher Joseph Pal (ICMI, 2015)

RATM: Recurrent Attentive Tracking Model. - Samira Ebrahimi Kahou; Vincent Michalski; Roland Memisevic (CoRR, 2015)

Theano: A Python framework for fast computation of mathematical expressions. - Rami Al-Rfou; Guillaume Alain; Amjad Almahairi; Christof Angermüller; Dzmitry Bahdanau; Nicolas Ballas; Frédéric Bastien; Justin Bayer; Anatoly Belikov; Alexander Belopolsky; Yoshua Bengio; Arnaud Bergeron; et al. (CoRR, 2016)

EmoNets: Multimodal deep learning approaches for emotion recognition in video. - Samira Ebrahimi Kahou; Xavier Bouthillier; Pascal Lamblin; Çaglar Gülçehre; Vincent Michalski; Kishore Konda; Sébastien Jean; Pierre Froumenty; Yann N. Dauphin; Nicolas Boulanger-Lewandowski; Raul Chandias Ferrari; Mehdi Mirza; et al. (J. Multimodal User Interfaces, 2016)

RATM: Recurrent Attentive Tracking Model. - Samira Ebrahimi Kahou; Vincent Michalski; Roland Memisevic; Christopher Joseph Pal; Pascal Vincent (CVPR Workshops, 2017)

The "Something Something" Video Database for Learning and Evaluating Visual Common Sense. - Raghav Goyal; Samira Ebrahimi Kahou; Vincent Michalski; Joanna Materzynska; Susanne Westphal; Heuna Kim; Valentin Haenel; Ingo Fründ; Peter Yianilos; Moritz Mueller-Freitag; Florian Hoppe; Christian Thurau; et al. (ICCV, 2017)

A Deep Reinforcement Learning Chatbot. - Iulian Vlad Serban; Chinnadhurai Sankar; Mathieu Germain; Saizheng Zhang; Zhouhan Lin; Sandeep Subramanian; Taesup Kim; Michael Pieper; Sarath Chandar; Nan Rosemary Ke; Sai Mudumba; Alexandre de Brébisson; et al. (CoRR, 2017)

FigureQA: An Annotated Figure Dataset for Visual Reasoning. - Samira Ebrahimi Kahou; Vincent Michalski; Adam Atkinson; Ákos Kádár; Adam Trischler; Yoshua Bengio (ICLR (Workshop), 2018)

ChatPainter: Improving Text to Image Generation using Dialogue. - Shikhar Sharma 001; Dendi Suhubdy; Vincent Michalski; Samira Ebrahimi Kahou; Yoshua Bengio (ICLR (Workshop), 2018)

Towards Deep Conversational Recommendations. - Raymond Li; Samira Ebrahimi Kahou; Hannes Schulz; Vincent Michalski; Laurent Charlin; Chris Pal (NeurIPS, 2018)

A Deep Reinforcement Learning Chatbot (Short Version). - Iulian Vlad Serban; Chinnadhurai Sankar; Mathieu Germain; Saizheng Zhang; Zhouhan Lin; Sandeep Subramanian; Taesup Kim; Michael Pieper; Sarath Chandar; Nan Rosemary Ke; Sai Rajeswar; Alexandre de Brébisson; et al. (CoRR, 2018)

An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation. - Vincent Michalski; Vikram Voleti; Samira Ebrahimi Kahou; Anthony Ortiz; Pascal Vincent; Chris Pal; Doina Precup (CoRR, 2019)

Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent Networks. - Md Rifat Arefin; Vincent Michalski; Pierre-Luc St-Charles; Alfredo Kalaitzis; Sookyung Kim; Samira Ebrahimi Kahou; Yoshua Bengio (CVPR Workshops, 2020)

HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery. - Michel Deudon; Alfredo Kalaitzis; Israel Goytom; Md Rifat Arefin; Zhichao Lin; Kris Sankaran; Vincent Michalski; Samira Ebrahimi Kahou; Julien Cornebise; Yoshua Bengio (CoRR, 2020)

Accounting for Variance in Machine Learning Benchmarks. - Xavier Bouthillier; Pierre Delaunay; Mirko Bronzi; Assya Trofimov; Brennan Nichyporuk; Justin Szeto; Nazanin Mohammadi Sepahvand; Edward Raff; Kanika Madan; Vikram Voleti; Samira Ebrahimi Kahou; Vincent Michalski; et al. (MLSys, 2021)

Accounting for Variance in Machine Learning Benchmarks. - Xavier Bouthillier; Pierre Delaunay; Mirko Bronzi; Assya Trofimov; Brennan Nichyporuk; Justin Szeto; Naz Sepah; Edward Raff; Kanika Madan; Vikram Voleti; Samira Ebrahimi Kahou; Vincent Michalski; et al. (CoRR, 2021)

Learning Robust Dynamics through Variational Sparse Gating. - Arnav Kumar Jain; Shivakanth Sujit; Shruti Joshi; Vincent Michalski; Danijar Hafner; Samira Ebrahimi Kahou (NeurIPS, 2022)

On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization. - Jordi Armengol-Estapé; Vincent Michalski; Ramnath Kumar; Pierre-Luc St-Charles; Doina Precup; Samira Ebrahimi Kahou (CoRR, 2024)

Empowering Clinicians with Medical Decision Transformers: A Framework for Sepsis Treatment. - Aamer Abdul Rahman; Pranav Agarwal; Rita Noumeir; Philippe Jouvet; Vincent Michalski; Samira Ebrahimi Kahou (CoRR, 2024)

Behaviour Discovery and Attribution for Explainable Reinforcement Learning. - Rishav Rishav; Somjit Nath; Vincent Michalski; Samira Ebrahimi Kahou (CoRR, 2025)