Samira Ebrahimi Kahou

93 papers A* 13A 1B 2Misc 1Journal 63Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards Fair In-Context Learning with Tabular Foundation Models. Trans. Mach. Learn. Res. Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
2026	J	`jnl`	Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery. CoRR Xuemin Yu, Ankur Garg, Samira Ebrahimi Kahou, Hassan Sajjad
2025	J	`jnl`	Adaptive Group Robust Ensemble Knowledge Distillation. Trans. Mach. Learn. Res. Patrik Joslin Kenfack, Ulrich Aïvodji, Samira Ebrahimi Kahou
2025	J	`jnl`	Behaviour Discovery and Attribution for Explainable Reinforcement Learning. CoRR Rishav Rishav, Somjit Nath, Vincent Michalski, Samira Ebrahimi Kahou
2025	J	`jnl`	Behaviour Discovery and Attribution for Explainable Reinforcement Learning. Trans. Mach. Learn. Res. Rishav Rishav, Somjit Nath, Vincent Michalski, Samira Ebrahimi Kahou
2025	J	`jnl`	Cross-Layer Discrete Concept Discovery for Interpreting Language Models. CoRR Ankur Garg, Xuemin Yu, Hassan Sajjad, Samira Ebrahimi Kahou
2025	J	`jnl`	Estimating Head Motion in Structural MRI Using a Deep Neural Network Trained on Synthetic Artifacts. CoRR Charles Bricout, Samira Ebrahimi Kahou, Sylvain Bouix
2025	J	`jnl`	GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version Incompatibilities. CoRR Diganta Misra, Nizar Islah, Victor May, Brice Rauby, Zihan Wang, Justine Gehring, Antonio Orvieto, Muawiz Chaudhary, Eilif B. Muller, Irina Rish, Samira Ebrahimi Kahou, Massimo Caccia
2025	A*	`conf`	Handling Delay in Real-Time Reinforcement Learning. ICLR Ivan Anokhin, Rishav Rishav, Matthew Riemer, Stephen Chung, Irina Rish, Samira Ebrahimi Kahou
2025	J	`jnl`	Handling Delay in Real-Time Reinforcement Learning. CoRR Ivan Anokhin, Rishav Rishav, Matthew Riemer, Stephen Chung, Irina Rish, Samira Ebrahimi Kahou
2025	J	`jnl`	Improving Quality Control Of MRI Images Using Synthetic Motion Data. CoRR Charles Bricout, Kang Ik Kevin Cho, Michael Harms, Ofer Pasternak, Carrie E. Bearden, Patrick D. McGorry, Rene S. Kahn, John Kane, Barnaby Nelson, Scott W. Woods, Martha Elizabeth Shenton, Sylvain Bouix, Samira Ebrahimi Kahou
2025	—	`conf`	Improving Quality Control of MRI Images Using Synthetic Motion Data. ISBI Charles Bricout, Kang Ik Kevin Cho, Michael Harms, Ofer Pasternak, Carrie E. Bearden, Patrick D. McGorry, Rene S. Kahn, JM Kane, B. Nelson, Scott W. Woods, Martha Elizabeth Shenton, Sylvain Bouix, Samira Ebrahimi Kahou
2025	J	`jnl`	Source-free domain adaptation requires penalized diversity. Mach. Learn. Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Alexandre See, Samira Ebrahimi Kahou, Thomas Fevens, Mohammad Havaei
2025	J	`jnl`	Survey on AI Ethics: A Socio-Technical Perspective. Comput. Intell. Dave Mbiazi, Meghana Bhange, Maryam Babaei, Ivaxi Sheth, Patrik Joslin Kenfack, Samira Ebrahimi Kahou
2025	J	`jnl`	Towards Fair In-Context Learning with Tabular Foundation Models. CoRR Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
2025	J	`jnl`	Zero-Shot Anomaly Detection with Dual-Branch Prompt Selection. CoRR Zihan Wang, Samira Ebrahimi Kahou, Narges Armanfard
2024	J	`jnl`	A Survey on Fairness Without Demographics. Trans. Mach. Learn. Res. Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
2024	J	`jnl`	Adaptive Group Robust Ensemble Knowledge Distillation. CoRR Patrik Joslin Kenfack, Ulrich Aïvodji, Samira Ebrahimi Kahou
2024	J	`jnl`	Comparative Analysis of Diffusion Generative Models in Computational Pathology. CoRR Denisha Thakkar, Vincent Quoc-Huy Trinh, Sonal Varma, Samira Ebrahimi Kahou, Hassan Rivaz, Mahdi S. Hosseini
2024	J	`jnl`	Empowering Clinicians with Medical Decision Transformers: A Framework for Sepsis Treatment. CoRR Aamer Abdul Rahman, Pranav Agarwal, Rita Noumeir, Philippe Jouvet, Vincent Michalski, Samira Ebrahimi Kahou
2024	J	`jnl`	Fairness Under Demographic Scarce Regime. Trans. Mach. Learn. Res. Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
2024	—	`conf`	KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation. ENLSP Rambod Azimi, Rishav Rishav, Marek Teichmann, Samira Ebrahimi Kahou
2024	J	`jnl`	KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation. CoRR Rambod Azimi, Rishav Rishav, Marek Teichmann, Samira Ebrahimi Kahou
2024	J	`jnl`	Learning Multi-agent Multi-machine Tending by Mobile Robots. CoRR Abdalwhab Abdalwhab, Giovanni Beltrame, Samira Ebrahimi Kahou, David St-Onge
2024	A*	`conf`	Learning to Play Atari in a World of Tokens. ICML Pranav Agarwal, Sheldon Andrews, Samira Ebrahimi Kahou
2024	J	`jnl`	Learning to Play Atari in a World of Tokens. CoRR Pranav Agarwal, Sheldon Andrews, Samira Ebrahimi Kahou
2024	J	`jnl`	Neural semantic tagging for natural language-based search in building information models: Implications for practice. Comput. Ind. Mehrzad Shahinmoghadam, Samira Ebrahimi Kahou, Ali Motamedi
2024	J	`jnl`	On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization. CoRR Jordi Armengol-Estapé, Vincent Michalski, Ramnath Kumar, Pierre-Luc St-Charles, Doina Precup, Samira Ebrahimi Kahou
2024	J	`jnl`	Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks. CoRR Riadh Azzaz, Valentin Hurel, Patrice Menard, Mohammad Jahazi, Samira Ebrahimi Kahou, Elmira Moosavi-Khoonsari
2024	J	`jnl`	Reinforcement Learning for Sequence Design Leveraging Protein Language Models. CoRR Jithendaraa Subramanian, Shivakanth Sujit, Niloy Irtisam, Umong Sain, Derek Nowrouzezahrai, Samira Ebrahimi Kahou, Riashat Islam
2023	A*	`conf`	Auxiliary Losses for Learning Generalizable Concept-based Models. NeurIPS Ivaxi Sheth, Samira Ebrahimi Kahou
2023	J	`jnl`	Auxiliary Losses for Learning Generalizable Concept-based Models. CoRR Ivaxi Sheth, Samira Ebrahimi Kahou
2023	J	`jnl`	Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies. Trans. Mach. Learn. Res. Shivakanth Sujit, Pedro H. M. Braga, Jörg Bornschein, Samira Ebrahimi Kahou
2023	J	`jnl`	CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning. CoRR Nikunj Gupta, Samira Ebrahimi Kahou
2023	A*	`conf`	Discovering Object-Centric Generalized Value Functions From Pixels. ICML Somjit Nath, Gopeshh Raaj Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou
2023	J	`jnl`	Discovering Object-Centric Generalized Value Functions From Pixels. CoRR Somjit Nath, Gopeshh Raaj Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou
2023	J	`jnl`	Fairness Under Demographic Scarce Regime. CoRR Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
2023	J	`jnl`	From legacy to microservices: A type-based approach for microservices identification using machine learning and semantic analysis. J. Softw. Evol. Process. Imen Trabelsi, Manel Abdellatif, Abdalgader Abubaker, Naouel Moha, Sébastien Mosser, Samira Ebrahimi Kahou, Yann-Gaël Guéhéneuc
2023	A*	`conf`	Prioritizing Samples in Reinforcement Learning with Reducible Loss. NeurIPS Shivakanth Sujit, Somjit Nath, Pedro H. M. Braga, Samira Ebrahimi Kahou
2023	—	`conf`	RelationalUNet for Image Segmentation. MLMI@MICCAI (1) Ivaxi Sheth, Pedro H. M. Braga, Shivakanth Sujit, Sahar Dastani, Samira Ebrahimi Kahou
2023	J	`jnl`	Source-free Domain Adaptation Requires Penalized Diversity. CoRR Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Alexandre See, Samira Ebrahimi Kahou, Thomas Fevens, Mohammad Havaei
2023	J	`jnl`	Spectral Temporal Contrastive Learning. CoRR Sacha Morin, Somjit Nath, Samira Ebrahimi Kahou, Guy Wolf
2023	J	`jnl`	Transformers in Reinforcement Learning: A Survey. CoRR Pranav Agarwal, Aamer Abdul Rahman, Pierre-Luc St-Charles, Simon J. D. Prince, Samira Ebrahimi Kahou
2022	J	`jnl`	Automatic Evaluation of Excavator Operators using Learned Reward Functions. CoRR Pranav Agarwal, Marek Teichmann, Sheldon Andrews, Samira Ebrahimi Kahou
2022	J	`jnl`	BERT on a Data Diet: Finding Important Examples by Gradient-Based Pruning. CoRR Mohsen Fayyaz, Ehsan Aghazadeh, Ali Modarressi, Mohammad Taher Pilehvar, Yadollah Yaghoobzadeh, Samira Ebrahimi Kahou
2022	J	`jnl`	Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies. CoRR Shivakanth Sujit, Pedro H. M. Braga, Jörg Bornschein, Samira Ebrahimi Kahou
2022	J	`jnl`	FHIST: A Benchmark for Few-shot Classification of Histological Images. CoRR Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou
2022	J	`jnl`	Latent Variable Models for Bayesian Causal Discovery. CoRR Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
2022	A*	`conf`	Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction. ICLR Roger Girgis, Florian Golemo, Felipe Codevilla, Martin Weiss, Jim Aldon D'Souza, Samira Ebrahimi Kahou, Felix Heide, Christopher Pal
2022	J	`jnl`	Learning Latent Structural Causal Models. CoRR Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Nan Rosemary Ke, Tristan Deleu, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
2022	A*	`conf`	Learning Robust Dynamics through Variational Sparse Gating. NeurIPS Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou
2022	J	`jnl`	Learning Robust Dynamics through Variational Sparse Gating. CoRR Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou
2022	J	`jnl`	Locally Constrained Representations in Reinforcement Learning. CoRR Somjit Nath, Samira Ebrahimi Kahou
2022	J	`jnl`	Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning. CoRR Ivaxi Sheth, Aamer Abdul Rahman, Mohammad Havaei, Samira Ebrahimi Kahou
2022	J	`jnl`	Prioritizing Samples in Reinforcement Learning with Reducible Loss. CoRR Shivakanth Sujit, Somjit Nath, Pedro H. M. Braga, Samira Ebrahimi Kahou
2022	A*	`conf`	Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning. CVPR Moslem Yazdanpanah, Aamer Abdul Rahman, Muawiz Chaudhary, Christian Desrosiers, Mohammad Havaei, Eugene Belilovsky, Samira Ebrahimi Kahou
2021	—	`conf`	Accounting for Variance in Machine Learning Benchmarks. MLSys 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, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent
2021	J	`jnl`	Accounting for Variance in Machine Learning Benchmarks. CoRR 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, Dmitriy Serdyuk, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent
2021	J	`jnl`	Latent Variable Nested Set Transformers & AutoBots. CoRR Roger Girgis, Florian Golemo, Felipe Codevilla, Jim Aldon D'Souza, Samira Ebrahimi Kahou, Felix Heide, Christopher J. Pal
2021	J	`jnl`	Simple Video Generation using Neural ODEs. CoRR David Kanaa, Vikram Voleti, Samira Ebrahimi Kahou, Christopher Pal
2020	J	`jnl`	HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery. CoRR Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira Ebrahimi Kahou, Julien Cornebise, Yoshua Bengio
2020	—	`conf`	Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent Networks. CVPR Workshops Md Rifat Arefin, Vincent Michalski, Pierre-Luc St-Charles, Alfredo Kalaitzis, Sookyung Kim, Samira Ebrahimi Kahou, Yoshua Bengio
2020	J	`jnl`	Predicting Regional Locust Swarm Distribution with Recurrent Neural Networks. CoRR Hadia Mohmmed Osman Ahmed Samil, Annabelle Martin, Arnav Kumar Jain, Susan Amin, Samira Ebrahimi Kahou
2019	J	`jnl`	An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation. CoRR Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal Vincent, Chris Pal, Doina Precup
2019	A*	`conf`	Dead-ends and Secure Exploration in Reinforcement Learning. ICML Mehdi Fatemi, Shikhar Sharma, Harm van Seijen, Samira Ebrahimi Kahou
2019	A	`conf`	Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events. WACV Sookyung Kim, Hyojin Kim, Joonseok Lee, Sangwoong Yoon, Samira Ebrahimi Kahou, Karthik Kashinath, Prabhat
2019	Misc	`conf`	Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. CoRL Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal
2019	J	`jnl`	Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. CoRR Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal
2019	A*	`conf`	Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction. ICCV Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, R. Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor
2019	A*	`conf`	Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies. AAAI Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio
2019	J	`jnl`	Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies. CoRR Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio
2018	—	`conf`	ChatPainter: Improving Text to Image Generation using Dialogue. ICLR (Workshop) Shikhar Sharma, Dendi Suhubdy, Vincent Michalski, Samira Ebrahimi Kahou, Yoshua Bengio
2018	J	`jnl`	ChatPainter: Improving Text to Image Generation using Dialogue. CoRR Shikhar Sharma, Dendi Suhubdy, Vincent Michalski, Samira Ebrahimi Kahou, Yoshua Bengio
2018	—	`conf`	FigureQA: An Annotated Figure Dataset for Visual Reasoning. ICLR (Workshop) Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson, Ákos Kádár, Adam Trischler, Yoshua Bengio
2018	J	`jnl`	Keep Drawing It: Iterative language-based image generation and editing. CoRR Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, R. Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor
2018	A*	`conf`	Towards Deep Conversational Recommendations. NeurIPS Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal
2018	J	`jnl`	Towards Deep Conversational Recommendations. CoRR Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal
2017	—	`conf`	Do Deep Convolutional Nets Really Need to be Deep and Convolutional? ICLR (Poster) Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson, Rich Caruana
2017	—	`conf`	ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events. NIPS Evan Racah, Christopher Beckham, Tegan Maharaj, Samira Ebrahimi Kahou, Prabhat, Chris Pal
2017	J	`jnl`	FigureQA: An Annotated Figure Dataset for Visual Reasoning. CoRR Samira Ebrahimi Kahou, Adam Atkinson, Vincent Michalski, Ákos Kádár, Adam Trischler, Yoshua Bengio
2017	—	`conf`	RATM: Recurrent Attentive Tracking Model. CVPR Workshops Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic, Christopher Joseph Pal, Pascal Vincent
2017	A*	`conf`	The "Something Something" Video Database for Learning and Evaluating Visual Common Sense. ICCV 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, Ingo Bax, Roland Memisevic
2017	J	`jnl`	The "something something" video database for learning and evaluating visual common sense. CoRR 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, Ingo Bax, Roland Memisevic
2016	J	`jnl`	Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)? CoRR Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Rich Caruana, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson
2016	J	`jnl`	EmoNets: Multimodal deep learning approaches for emotion recognition in video. J. Multimodal User Interfaces 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, David Warde-Farley, Aaron C. Courville, Pascal Vincent, Roland Memisevic, Christopher Joseph Pal, Yoshua Bengio
2016	J	`jnl`	Theano: A Python framework for fast computation of mathematical expressions. CoRR 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, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang
2015	J	`jnl`	EmoNets: Multimodal deep learning approaches for emotion recognition in video. CoRR Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Çaglar Gülçehre, Vincent Michalski, Kishore Reddy Konda, Sébastien Jean, Pierre Froumenty, Yann N. Dauphin, Nicolas Boulanger-Lewandowski, Raul Chandias Ferrari, Mehdi Mirza, David Warde-Farley, Aaron C. Courville, Pascal Vincent, Roland Memisevic, Christopher J. Pal, Yoshua Bengio
2015	—	`conf`	FitNets: Hints for Thin Deep Nets. ICLR (Poster) Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, Yoshua Bengio
2015	J	`jnl`	RATM: Recurrent Attentive Tracking Model. CoRR Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic
2015	B	`conf`	Recurrent Neural Networks for Emotion Recognition in Video. ICMI Samira Ebrahimi Kahou, Vincent Michalski, Kishore Reddy Konda, Roland Memisevic, Christopher Joseph Pal
2014	—	`conf`	Facial Expression Analysis Based on High Dimensional Binary Features. ECCV Workshops (2) Samira Ebrahimi Kahou, Pierre Froumenty, Christopher J. Pal
2013	B	`conf`	Combining modality specific deep neural networks for emotion recognition in video. ICMI Samira Ebrahimi Kahou, Christopher J. Pal, Xavier Bouthillier, Pierre Froumenty, Çaglar Gülçehre, Roland Memisevic, Pascal Vincent, Aaron C. Courville, Yoshua Bengio, Raul Chandias Ferrari, Mehdi Mirza, Sébastien Jean, Pierre Luc Carrier, Yann N. Dauphin, Nicolas Boulanger-Lewandowski, Abhishek Aggarwal, Jeremie Zumer, Pascal Lamblin, Jean-Philippe Raymond, Guillaume Desjardins, Razvan Pascanu, David Warde-Farley, Atousa Torabi, Arjun Sharma, Emmanuel Bengio, Kishore Reddy Konda, Zhenzhou Wu
2010	—	`conf`	Image compression: Comparative analysis of basic algorithms. EWDTS Yevgeniya Sulema, Samira Ebrahimi Kahou