Nicolas Ballas

108 papers A* 23A 1B 1Misc 1Journal 58Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Language Modeling: An Exploration of Multimodal Pretraining. CoRR Shengbang Tong, David Fan, John Nguyen, Ellis Brown, Gaoyue Zhou, Shengyi Qian, Boyang Zheng, Théophane Vallaeys, Junlin Han, Rob Fergus, Naila Murray, Marjan Ghazvininejad, Mike Lewis, Nicolas Ballas, Amir Bar, Michael Rabbat, Jakob Verbeek, Luke Zettlemoyer, Koustuv Sinha, Yann LeCun, Saining Xie
2026	J	`jnl`	Inference-time Physics Alignment of Video Generative Models with Latent World Models. CoRR Jianhao Yuan, Xiaofeng Zhang, Felix Friedrich, Nicolas Beltran-Velez, Melissa Hall, Reyhane Askari Hemmat, Xiaochuang Han, Nicolas Ballas, Michal Drozdzal, Adriana Romero-Soriano
2026	J	`jnl`	Learning Latent Action World Models In The Wild. CoRR Quentin Garrido, Tushar Nagarajan, Basile Terver, Nicolas Ballas, Yann LeCun, Michael Rabbat
2026	J	`jnl`	V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning. CoRR Lorenzo Mur-Labadia, Matthew J. Muckley, Amir Bar, Mido Assran, Koustuv Sinha, Mike Rabbat, Yann LeCun, Nicolas Ballas, Adrien Bardes
2025	J	`jnl`	A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs. CoRR Benno Krojer, Mojtaba Komeili, Candace Ross, Quentin Garrido, Koustuv Sinha, Nicolas Ballas, Mahmoud Assran
2025	J	`jnl`	A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs. Trans. Mach. Learn. Res. Benno Krojer, Mojtaba Komeili, Candace Ross, Quentin Garrido, Koustuv Sinha, Nicolas Ballas, Mido Assran
2025	J	`jnl`	Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density. CoRR Randall Balestriero, Nicolas Ballas, Mike Rabbat, Yann LeCun
2025	J	`jnl`	Improving the Physics of Video Generation with VJEPA-2 Reward Signal. CoRR Jianhao Yuan, Xiaofeng Zhang, Felix Friedrich, Nicolas Beltran-Velez, Melissa Hall, Reyhane Askari Hemmat, Xiaochuang Han, Nicolas Ballas, Michal Drozdzal, Adriana Romero-Soriano
2025	J	`jnl`	Intuitive physics understanding emerges from self-supervised pretraining on natural videos. CoRR Quentin Garrido, Nicolas Ballas, Mahmoud Assran, Adrien Bardes, Laurent Najman, Michael Rabbat, Emmanuel Dupoux, Yann LeCun
2025	A*	`conf`	LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D. ICML Paul McVay, Sergio Arnaud, Ada Martin, Arjun Majumdar, Krishna Murthy Jatavallabhula, Phillip Thomas, Ruslan Partsey, Daniel Dugas, Abha Gejji, Alexander Sax, Vincent-Pierre Berges, Mikael Henaff, Ayush Jain, Ang Cao, Ishita Prasad, Mrinal Kalakrishnan, Michael Rabbat, Nicolas Ballas, Mido Assran, Oleksandr Maksymets, Aravind Rajeswaran
2025	J	`jnl`	Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D. CoRR Sergio Arnaud, Paul McVay, Ada Martin, Arjun Majumdar, Krishna Murthy Jatavallabhula, Phillip Thomas, Ruslan Partsey, Daniel Dugas, Abha Gejji, Alexander Sax, Vincent-Pierre Berges, Mikael Henaff, Ayush Jain, Ang Cao, Ishita Prasad, Mrinal Kalakrishnan, Michael Rabbat, Nicolas Ballas, Mido Assran, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier
2025	J	`jnl`	Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors. CoRR Aniket Didolkar, Nicolas Ballas, Sanjeev Arora, Anirudh Goyal
2025	J	`jnl`	Scaling Language-Free Visual Representation Learning. CoRR David Fan, Shengbang Tong, Jiachen Zhu, Koustuv Sinha, Zhuang Liu, Xinlei Chen, Michael Rabbat, Nicolas Ballas, Yann LeCun, Amir Bar, Saining Xie
2025	J	`jnl`	V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning. CoRR Mido Assran, Adrien Bardes, David Fan, Quentin Garrido, Russell Howes, Mojtaba Komeili, Matthew J. Muckley, Ammar Rizvi, Claire Roberts, Koustuv Sinha, Artem Zholus, Sergio Arnaud, Abha Gejji, Ada Martin, Francois Robert Hogan, Daniel Dugas, Piotr Bojanowski, Vasil Khalidov, Patrick Labatut, Francisco Massa, Marc Szafraniec, Kapil Krishnakumar, Yong Li, Xiaodong Ma, Sarath Chandar, Franziska Meier, Yann LeCun, Michael Rabbat, Nicolas Ballas
2025	A*	`conf`	VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning. ICLR Han Lin, Tushar Nagarajan, Nicolas Ballas, Mido Assran, Mojtaba Komeili, Mohit Bansal, Koustuv Sinha
2024	J	`jnl`	DINOv2: Learning Robust Visual Features without Supervision. Trans. Mach. Learn. Res. Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mido Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
2024	A*	`conf`	Discovering Environments with XRM. ICML Mohammad Pezeshki, Diane Bouchacourt, Mark Ibrahim, Nicolas Ballas, Pascal Vincent, David Lopez-Paz
2024	A*	`conf`	Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model. CVPR Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi
2024	J	`jnl`	Learning and Leveraging World Models in Visual Representation Learning. CoRR Quentin Garrido, Mahmoud Assran, Nicolas Ballas, Adrien Bardes, Laurent Najman, Yann LeCun
2024	A*	`conf`	Modeling Caption Diversity in Contrastive Vision-Language Pretraining. ICML Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mido Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas
2024	J	`jnl`	Modeling Caption Diversity in Contrastive Vision-Language Pretraining. CoRR Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mahmoud Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas
2024	J	`jnl`	Revisiting Feature Prediction for Learning Visual Representations from Video. CoRR Adrien Bardes, Quentin Garrido, Jean Ponce, Xinlei Chen, Michael G. Rabbat, Yann LeCun, Mahmoud Assran, Nicolas Ballas
2024	J	`jnl`	Revisiting Feature Prediction for Learning Visual Representations from Video. Trans. Mach. Learn. Res. Adrien Bardes, Quentin Garrido, Jean Ponce, Xinlei Chen, Michael Rabbat, Yann LeCun, Mido Assran, Nicolas Ballas
2024	A*	`conf`	Stochastic positional embeddings improve masked image modeling. ICML Amir Bar, Florian Bordes, Assaf Shocher, Mido Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun
2024	J	`jnl`	VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning. CoRR Han Lin, Tushar Nagarajan, Nicolas Ballas, Mido Assran, Mojtaba Komeili, Mohit Bansal, Koustuv Sinha
2023	J	`jnl`	A Simple Recipe for Competitive Low-compute Self supervised Vision Models. CoRR Quentin Duval, Ishan Misra, Nicolas Ballas
2023	J	`jnl`	A surprisingly simple technique to control the pretraining bias for better transfer: Expand or Narrow your representation. CoRR Florian Bordes, Samuel Lavoie, Randall Balestriero, Nicolas Ballas, Pascal Vincent
2023	J	`jnl`	DINOv2: Learning Robust Visual Features without Supervision. CoRR Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-wen Li, Ishan Misra, Michael G. Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
2023	J	`jnl`	Discovering environments with XRM. CoRR Mohammad Pezeshki, Diane Bouchacourt, Mark Ibrahim, Nicolas Ballas, Pascal Vincent, David Lopez-Paz
2023	A*	`conf`	ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations. ICLR Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim
2023	J	`jnl`	Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model. CoRR Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi
2023	J	`jnl`	Predicting masked tokens in stochastic locations improves masked image modeling. CoRR Amir Bar, Florian Bordes, Assaf Shocher, Mahmoud Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun
2023	A*	`conf`	Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. CVPR Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas
2023	J	`jnl`	Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. CoRR Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas
2023	A*	`conf`	The hidden uniform cluster prior in self-supervised learning. ICLR Mido Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Nicolas Ballas
2022	J	`jnl`	BARACK: Partially Supervised Group Robustness With Guarantees. CoRR Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré
2022	B	`conf`	Cascaded Video Generation for Videos In-the-Wild. ICPR Lluís Castrejón, Nicolas Ballas, Aaron C. Courville
2022	J	`jnl`	Cascaded Video Generation for Videos In-the-Wild. CoRR Lluís Castrejón, Nicolas Ballas, Aaron C. Courville
2022	J	`jnl`	ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations. CoRR Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim
2022	—	`conf`	Masked Siamese Networks for Label-Efficient Learning. ECCV (31) Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Mike Rabbat, Nicolas Ballas
2022	J	`jnl`	Masked Siamese Networks for Label-Efficient Learning. CoRR Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael G. Rabbat, Nicolas Ballas
2022	A*	`conf`	Neural Attentive Circuits. NeurIPS Martin Weiss, Nasim Rahaman, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Li Erran Li, Nicolas Ballas
2022	J	`jnl`	Neural Attentive Circuits. CoRR Nasim Rahaman, Martin Weiss, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Li Erran Li, Nicolas Ballas
2022	J	`jnl`	The Hidden Uniform Cluster Prior in Self-Supervised Learning. CoRR Mahmoud Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Nicolas Ballas
2022	J	`jnl`	Uniform Masking Prevails in Vision-Language Pretraining. CoRR Siddharth Verma, Yuchen Lu, Rui Hou, Hanchao Yu, Nicolas Ballas, Madian Khabsa, Amjad Almahairi
2022	—	`conf`	VIM: Variational Independent Modules for Video Prediction. CLeaR Rim Assouel, Lluís Castrejón, Aaron C. Courville, Nicolas Ballas, Yoshua Bengio
2021	J	`jnl`	Hierarchical Video Generation for Complex Data. CoRR Lluís Castrejón, Nicolas Ballas, Aaron C. Courville
2021	A*	`conf`	Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. ICCV Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat
2021	J	`jnl`	Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. CoRR Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat
2021	J	`jnl`	Trade-offs of Local SGD at Scale: An Empirical Study. CoRR Jose Javier Gonzalez Ortiz, Jonathan Frankle, Mike Rabbat, Ari S. Morcos, Nicolas Ballas
2020	J	`jnl`	A Closer Look at Codistillation for Distributed Training. CoRR Shagun Sodhani, Olivier Delalleau, Mahmoud Assran, Koustuv Sinha, Nicolas Ballas, Michael G. Rabbat
2020	Misc	`conf`	Lookahead Converges to Stationary Points of Smooth Non-convex Functions. ICASSP Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat
2020	—	`conf`	Proposal-Based Video Completion. ECCV (27) Yuan-Ting Hu, Heng Wang, Nicolas Ballas, Kristen Grauman, Alexander G. Schwing
2020	J	`jnl`	Recovering Petaflops in Contrastive Semi-Supervised Learning of Visual Representations. CoRR Mahmoud Assran, Nicolas Ballas, Lluís Castrejón, Michael G. Rabbat
2020	J	`jnl`	Revisiting Loss Modelling for Unstructured Pruning. CoRR César Laurent, Camille Ballas, Thomas George, Nicolas Ballas, Pascal Vincent
2020	A*	`conf`	SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum. ICLR Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat
2019	A*	`conf`	Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning. NeurIPS Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat
2019	J	`jnl`	Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning. CoRR Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat
2019	A*	`conf`	Improved Conditional VRNNs for Video Prediction. ICCV Lluís Castrejón, Nicolas Ballas, Aaron C. Courville
2019	J	`jnl`	Improved Conditional VRNNs for Video Prediction. CoRR Lluís Castrejón, Nicolas Ballas, Aaron C. Courville
2019	J	`jnl`	Needles in Haystacks: On Classifying Tiny Objects in Large Images. CoRR Nick Pawlowski, Suvrat Bhooshan, Nicolas Ballas, Francesco Ciompi, Ben Glocker, Michal Drozdzal
2019	—	`conf`	On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length. ICLR (Poster) Stanislaw Jastrzebski, Zachary Kenton, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey
2019	J	`jnl`	SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum. CoRR Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat
2019	A*	`conf`	Stochastic Gradient Push for Distributed Deep Learning. ICML Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Michael G. Rabbat
2018	J	`jnl`	A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning. CoRR Amy Zhang, Nicolas Ballas, Joelle Pineau
2018	—	`conf`	An Evaluation of Fisher Approximations Beyond Kronecker Factorization. ICLR (Workshop) César Laurent, Thomas George, Xavier Bouthillier, Nicolas Ballas, Pascal Vincent
2018	J	`jnl`	DNN's Sharpest Directions Along the SGD Trajectory. CoRR Stanislaw Jastrzebski, Zachary Kenton, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey
2018	A*	`conf`	Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis. NeurIPS Thomas George, César Laurent, Xavier Bouthillier, Nicolas Ballas, Pascal Vincent
2018	J	`jnl`	Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis. CoRR Thomas George, César Laurent, Xavier Bouthillier, Nicolas Ballas, Pascal Vincent
2018	—	`conf`	Finding Flatter Minima with SGD. ICLR (Workshop) Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey
2018	—	`conf`	Residual Connections Encourage Iterative Inference. ICLR (Poster) Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio
2018	J	`jnl`	Stochastic Gradient Push for Distributed Deep Learning. CoRR Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Michael G. Rabbat
2018	—	`conf`	Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio. ICANN (3) Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey
2017	A*	`conf`	A Closer Look at Memorization in Deep Networks. ICML Devansh Arpit, Stanislaw Jastrzebski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S. Kanwal, Tegan Maharaj, Asja Fischer, Aaron C. Courville, Yoshua Bengio, Simon Lacoste-Julien
2017	J	`jnl`	A Closer Look at Memorization in Deep Networks. CoRR Devansh Arpit, Stanislaw Jastrzebski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S. Kanwal, Tegan Maharaj, Asja Fischer, Aaron C. Courville, Yoshua Bengio, Simon Lacoste-Julien
2017	A*	`conf`	A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering. CVPR Tegan Maharaj, Nicolas Ballas, Anna Rohrbach, Aaron C. Courville, Christopher Joseph Pal
2017	—	`conf`	Deep Nets Don't Learn via Memorization. ICLR (Workshop) David Krueger, Nicolas Ballas, Stanislaw Jastrzebski, Devansh Arpit, Maxinder S. Kanwal, Tegan Maharaj, Emmanuel Bengio, Asja Fischer, Aaron C. Courville
2017	—	`conf`	Recurrent Batch Normalization. ICLR (Poster) Tim Cooijmans, Nicolas Ballas, César Laurent, Çaglar Gülçehre, Aaron C. Courville
2017	—	`conf`	Recurrent Normalization Propagation. ICLR (Workshop) César Laurent, Nicolas Ballas, Pascal Vincent
2017	J	`jnl`	Residual Connections Encourage Iterative Inference. CoRR Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio
2017	J	`jnl`	Three Factors Influencing Minima in SGD. CoRR Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey
2017	—	`conf`	Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations. ICLR (Poster) David Krueger, Tegan Maharaj, János Kramár, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Aaron C. Courville, Christopher J. Pal
2016	J	`jnl`	A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering. CoRR Tegan Maharaj, Nicolas Ballas, Aaron C. Courville, Christopher Joseph Pal
2016	A*	`conf`	Delving Deeper into Convolutional Networks for Learning Video Representations. ICLR (Poster) Nicolas Ballas, Li Yao, Chris Pal, Aaron C. Courville
2016	A*	`conf`	Dynamic Capacity Networks. ICML Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron C. Courville
2016	A	`conf`	Oracle Performance for Visual Captioning. BMVC Li Yao, Nicolas Ballas, Kyunghyun Cho, John R. Smith, Yoshua Bengio
2016	J	`jnl`	Recurrent Batch Normalization. CoRR Tim Cooijmans, Nicolas Ballas, César Laurent, Aaron C. Courville
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
2016	J	`jnl`	Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations. CoRR David Krueger, Tegan Maharaj, János Kramár, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Aaron C. Courville, Chris Pal
2015	A*	`conf`	Describing Videos by Exploiting Temporal Structure. ICCV Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville
2015	J	`jnl`	Dynamic Capacity Networks. CoRR Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron C. Courville
2015	J	`jnl`	Evaluation of semi-supervised learning method on action recognition. Multim. Tools Appl. Haoquan Shen, Yan Yan, Shicheng Xu, Nicolas Ballas, Wenzhi Chen
2015	—	`conf`	FitNets: Hints for Thin Deep Nets. ICLR (Poster) Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, Yoshua Bengio
2015	—	`conf`	Large-Scale Image Mining with Flickr Groups. MMM (1) Alexandru-Lucian Gînsca, Adrian Popescu, Hervé Le Borgne, Nicolas Ballas, Phong Vo, Ioannis Kanellos
2015	J	`jnl`	Trainable performance upper bounds for image and video captioning. CoRR Li Yao, Nicolas Ballas, Kyunghyun Cho, John R. Smith, Yoshua Bengio
2015	J	`jnl`	Video Description Generation Incorporating Spatio-Temporal Features and a Soft-Attention Mechanism. CoRR Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher Joseph Pal, Hugo Larochelle, Aaron C. Courville
2014	—	`conf`	IRIM at TRECVID 2014: Semantic Indexing and Instance Search. TRECVID Nicolas Ballas, Benjamin Labbé, Hervé Le Borgne, Philippe Gosselin, David Picard, Miriam Redi, Bernard Mérialdo, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Abdelkader Hamadi, Bahjat Safadi, Nadia Derbas, Mateusz Budnik, Georges Quénot, Boyang Gao, Chao Zhu, Yuxing Tang, Emmanuel Dellandréa, Charles-Edmond Bichot, Liming Chen, Alexandre Benoît, Patrick Lambert, Sabin Tiberius Strat
2014	—	`conf`	Resource Constrained Multimedia Event Detection. MMM (1) Zhen-Zhong Lan, Yi Yang, Nicolas Ballas, Shoou-I Yu, Alexander G. Hauptmann
2013	—	`conf`	IRIM at TRECVID 2013 : Semantic Indexing and Instance Search. TRECVID Nicolas Ballas, Benjamin Labbé, Hervé Le Borgne, Philippe Gosselin, David Picard, Miriam Redi, Bernard Mérialdo, Iván González-Díaz, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Abdelkader Hamadi, Bahjat Safadi, Thi-Thu-Thuy Vuong, Han Dong, Nadia Derbas, Georges Quénot, Boyang Gao, Chao Zhu, Yuxing Tang, Emmanuel Dellandréa, Charles-Edmond Bichot, Liming Chen, Alexandre Benoît, Patrick Lambert, Sabin Tiberius Strat
2013	—	`conf`	Informedia@TRECVID 2013. TRECVID Zhenzhong Lan, Lu Jiang, Shoou-I Yu, Chenqiang Gao, Shourabh Rawat, Yang Cai, Shicheng Xu, Haoquan Shen, Xuanchong Li, Yipei Wang, Waito Sze, Yan Yan, Zhigang Ma, Nicolas Ballas, Deyu Meng, Wei Tong, Yi Yang, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Richard M. Stern, Teruko Mitamura, Eric Nyberg, Alexander G. Hauptmann
2013	—	`—`	Modélisation de contextes pour l'annotation sémantique de vidéos. (Context based modeling for video semantic annotation). Nicolas Ballas
2013	—	`conf`	Skeleton Point Trajectories for Human Daily Activity Recognition. VISAPP (1) Adrien Chan-Hon-Tong, Nicolas Ballas, Catherine Achard, Bertrand Delezoide, Laurent Lucat, Patrick Sayd, Françoise J. Prêteux
2013	A*	`conf`	Space-Time Robust Representation for Action Recognition. ICCV Nicolas Ballas, Yi Yang, Zhen-Zhong Lan, Bertrand Delezoide, Françoise J. Prêteux, Alexander G. Hauptmann
2012	—	`conf`	A new point process model for trajectory-based events annotation. Image Processing: Machine Vision Applications Nicolas Ballas, Bertrand Delezoide, Françoise J. Prêteux
2012	—	`conf`	CEA LIST at TRECVID 2012 : Semantic Indexing and instance search. TRECVID Nicolas Ballas, Benjamin Labbé, Hervé Le Borgne, Aymen Shabou
2012	—	`conf`	CEA LIST's Participation at MediaEval 2012 Placing Task. MediaEval Adrian Popescu, Nicolas Ballas
2012	—	`conf`	IRIM at TRECVID 2012 : Semantic Indexing and Instance Search. TRECVID Nicolas Ballas, Benjamin Labbé, Aymen Shabou, Hervé Le Borgne, Philippe Gosselin, Miriam Redi, Bernard Mérialdo, Hervé Jégou, Jonathan Delhumeau, Rémi Vieux, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Abdelkader Hamadi, Bahjat Safadi, Franck Thollard, Nadia Derbas, Georges Quénot, Hervé Bredin, Matthieu Cord, Boyang Gao, Chao Zhu, Yuxing Tang, Emmanuel Dellandréa, Charles-Edmond Bichot, Liming Chen, Alexandre Benoît, Patrick Lambert, Sabin Tiberius Strat, Joseph Razik, Sébastion Paris, Hervé Glotin, Tran Ngoc Trung, Dijana Petrovska, Gérard Chollet, Andrei Stoian, Michel Crucianu
2012	A*	`conf`	Trajectory signature for action recognition in video. ACM Multimedia Nicolas Ballas, Bertrand Delezoide, Françoise J. Prêteux