Samira Ebrahimi Kahou

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 59

Top Topics

Recurrent Neural Networks

Latent Variable Models

Reinforcement Learning

Emotion Recognition

Top Venues

Publications

Mehrzad Shahinmoghadam, Samira Ebrahimi Kahou, Ali Motamedi
Neural semantic tagging for natural language-based search in building information models: Implications for practice. Comput. Ind. 155 (2024)
Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Alexandre See, Samira Ebrahimi Kahou, Thomas Fevens, Mohammad Havaei
Source-free Domain Adaptation Requires Penalized Diversity. CoRR (2023)
Ivaxi Sheth, Samira Ebrahimi Kahou
Auxiliary Losses for Learning Generalizable Concept-based Models. NeurIPS (2023)
Ivaxi Sheth, Pedro H. M. Braga, Shivakanth Sujit, Sahar Dastani, Samira Ebrahimi Kahou
RelationalUNet for Image Segmentation. MLMI@MICCAI (1) (2023)
Shivakanth Sujit, Somjit Nath, Pedro H. M. Braga, Samira Ebrahimi Kahou
Prioritizing Samples in Reinforcement Learning with Reducible Loss. NeurIPS (2023)
Sacha Morin, Somjit Nath, Samira Ebrahimi Kahou, Guy Wolf
Spectral Temporal Contrastive Learning. CoRR (2023)
Nikunj Gupta, Samira Ebrahimi Kahou
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning. CoRR (2023)
Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
Fairness Under Demographic Scarce Regime. CoRR (2023)
Somjit Nath, Gopeshh Raaj Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou
Discovering Object-Centric Generalized Value Functions From Pixels. ICML (2023)
Ivaxi Sheth, Samira Ebrahimi Kahou
Auxiliary Losses for Learning Generalizable Concept-based Models. CoRR (2023)
Pranav Agarwal, Aamer Abdul Rahman, Pierre-Luc St-Charles, Simon J. D. Prince, Samira Ebrahimi Kahou
Transformers in Reinforcement Learning: A Survey. CoRR (2023)
Somjit Nath, Gopeshh Raaj Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou
Discovering Object-Centric Generalized Value Functions From Pixels. CoRR (2023)
Somjit Nath, Samira Ebrahimi Kahou
Locally Constrained Representations in Reinforcement Learning. CoRR (2022)
Shivakanth Sujit, Somjit Nath, Pedro H. M. Braga, Samira Ebrahimi Kahou
Prioritizing Samples in Reinforcement Learning with Reducible Loss. CoRR (2022)
Roger Girgis, Florian Golemo, Felipe Codevilla, Martin Weiss, Jim Aldon D'Souza, Samira Ebrahimi Kahou, Felix Heide, Christopher Pal
Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction. ICLR (2022)
Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou
Learning Robust Dynamics through Variational Sparse Gating. NeurIPS (2022)
Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
Latent Variable Models for Bayesian Causal Discovery. CoRR (2022)
Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou
Learning Robust Dynamics through Variational Sparse Gating. CoRR (2022)
Pranav Agarwal, Marek Teichmann, Sheldon Andrews, Samira Ebrahimi Kahou
Automatic Evaluation of Excavator Operators using Learned Reward Functions. CoRR (2022)
Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou
FHIST: A Benchmark for Few-shot Classification of Histological Images. CoRR (2022)
Shivakanth Sujit, Pedro H. M. Braga, Jörg Bornschein, Samira Ebrahimi Kahou
Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies. CoRR (2022)
Moslem Yazdanpanah, Aamer Abdul Rahman, Muawiz Chaudhary, Christian Desrosiers, Mohammad Havaei, Eugene Belilovsky, Samira Ebrahimi Kahou
Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning. CVPR (2022)
Ivaxi Sheth, Aamer Abdul Rahman, Mohammad Havaei, Samira Ebrahimi Kahou
Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning. CoRR (2022)
Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Nan Rosemary Ke, Tristan Deleu, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
Learning Latent Structural Causal Models. CoRR (2022)
Mohsen Fayyaz, Ehsan Aghazadeh, Ali Modarressi, Mohammad Taher Pilehvar, Yadollah Yaghoobzadeh, Samira Ebrahimi Kahou
BERT on a Data Diet: Finding Important Examples by Gradient-Based Pruning. CoRR (2022)
David Kanaa, Vikram Voleti, Samira Ebrahimi Kahou, Christopher Pal
Simple Video Generation using Neural ODEs. CoRR (2021)
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
Accounting for Variance in Machine Learning Benchmarks. MLSys (2021)
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
Accounting for Variance in Machine Learning Benchmarks. CoRR (2021)
Roger Girgis, Florian Golemo, Felipe Codevilla, Jim Aldon D'Souza, Samira Ebrahimi Kahou, Felix Heide, Christopher J. Pal
Latent Variable Nested Set Transformers & AutoBots. CoRR (2021)
Md Rifat Arefin, Vincent Michalski, Pierre-Luc St-Charles, Alfredo Kalaitzis, Sookyung Kim, Samira Ebrahimi Kahou, Yoshua Bengio
Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent Networks. CVPR Workshops (2020)
Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira Ebrahimi Kahou, Julien Cornebise, Yoshua Bengio
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery. CoRR (2020)
Hadia Mohmmed Osman Ahmed Samil, Annabelle Martin, Arnav Kumar Jain, Susan Amin, Samira Ebrahimi Kahou
Predicting Regional Locust Swarm Distribution with Recurrent Neural Networks. CoRR (2020)
Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio
Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies. AAAI (2019)
Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies. CoRR (2019)
Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. CoRL (2019)
Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal Vincent, Chris Pal, Doina Precup
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation. CoRR (2019)
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, R. Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction. ICCV (2019)
Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. CoRR (2019)
Sookyung Kim, Hyojin Kim, Joonseok Lee, Sangwoong Yoon, Samira Ebrahimi Kahou, Karthik Kashinath, Prabhat
Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events. WACV (2019)
Mehdi Fatemi, Shikhar Sharma, Harm van Seijen, Samira Ebrahimi Kahou
Dead-ends and Secure Exploration in Reinforcement Learning. ICML (2019)
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, R. Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor
Keep Drawing It: Iterative language-based image generation and editing. CoRR (2018)
Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson, Ákos Kádár, Adam Trischler, Yoshua Bengio
FigureQA: An Annotated Figure Dataset for Visual Reasoning. ICLR (Workshop) (2018)
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal
Towards Deep Conversational Recommendations. NeurIPS (2018)
Shikhar Sharma, Dendi Suhubdy, Vincent Michalski, Samira Ebrahimi Kahou, Yoshua Bengio
ChatPainter: Improving Text to Image Generation using Dialogue. CoRR (2018)
Shikhar Sharma, Dendi Suhubdy, Vincent Michalski, Samira Ebrahimi Kahou, Yoshua Bengio
ChatPainter: Improving Text to Image Generation using Dialogue. ICLR (Workshop) (2018)
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal
Towards Deep Conversational Recommendations. CoRR (2018)
Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic, Christopher Joseph Pal, Pascal Vincent
RATM: Recurrent Attentive Tracking Model. CVPR Workshops (2017)
Samira Ebrahimi Kahou, Adam Atkinson, Vincent Michalski, Ákos Kádár, Adam Trischler, Yoshua Bengio
FigureQA: An Annotated Figure Dataset for Visual Reasoning. CoRR (2017)
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
The "something something" video database for learning and evaluating visual common sense. CoRR (2017)
Evan Racah, Christopher Beckham, Tegan Maharaj, Samira Ebrahimi Kahou, Prabhat, Chris Pal
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events. NIPS (2017)
Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson, Rich Caruana
Do Deep Convolutional Nets Really Need to be Deep and Convolutional? ICLR (Poster) (2017)
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
The "Something Something" Video Database for Learning and Evaluating Visual Common Sense. ICCV (2017)
Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Rich Caruana, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson
Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)? CoRR (2016)
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
Theano: A Python framework for fast computation of mathematical expressions. CoRR (2016)
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
EmoNets: Multimodal deep learning approaches for emotion recognition in video. J. Multimodal User Interfaces 10 (2) (2016)
Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic
RATM: Recurrent Attentive Tracking Model. CoRR (2015)
Samira Ebrahimi Kahou, Vincent Michalski, Kishore Reddy Konda, Roland Memisevic, Christopher Joseph Pal
Recurrent Neural Networks for Emotion Recognition in Video. ICMI (2015)
Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, Yoshua Bengio
FitNets: Hints for Thin Deep Nets. ICLR (Poster) (2015)
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
EmoNets: Multimodal deep learning approaches for emotion recognition in video. CoRR (2015)
Samira Ebrahimi Kahou, Pierre Froumenty, Christopher J. Pal
Facial Expression Analysis Based on High Dimensional Binary Features. ECCV Workshops (2) (2014)
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
Combining modality specific deep neural networks for emotion recognition in video. ICMI (2013)
Yevgeniya Sulema, Samira Ebrahimi Kahou
Image compression: Comparative analysis of basic algorithms. EWDTS (2010)