Çaglar Gülçehre

80 papers A* 14B 3Journal 50Unranked 13

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning. CoRR Michaël Mathieu, Sherjil Ozair, Srivatsan Srinivasan, Çaglar Gülçehre, Shangtong Zhang, Ray Jiang, Tom Le Paine, Richard Powell, Konrad Zolna, Julian Schrittwieser, David H. Choi, Petko Georgiev, Daniel Toyama, Aja Huang, Roman Ring, Igor Babuschkin, Timo Ewalds, Mahyar Bordbar, Sarah Henderson, Sergio Gómez Colmenarejo, Aäron van den Oord, Wojciech Marian Czarnecki, Nando de Freitas, Oriol Vinyals
2023	A*	`conf`	Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models. NeurIPS Yeongbin Kim, Gautam Singh, Junyeong Park, Çaglar Gülçehre, Sungjin Ahn
2023	J	`jnl`	Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models. CoRR Yeongbin Kim, Gautam Singh, Junyeong Park, Çaglar Gülçehre, Sungjin Ahn
2023	J	`jnl`	On the Universality of Linear Recurrences Followed by Nonlinear Projections. CoRR Antonio Orvieto, Soham De, Çaglar Gülçehre, Razvan Pascanu, Samuel L. Smith
2023	J	`jnl`	Reinforced Self-Training (ReST) for Language Modeling. CoRR Çaglar Gülçehre, Tom Le Paine, Srivatsan Srinivasan, Ksenia Konyushkova, Lotte Weerts, Abhishek Sharma, Aditya Siddhant, Alex Ahern, Miaosen Wang, Chenjie Gu, Wolfgang Macherey, Arnaud Doucet, Orhan Firat, Nando de Freitas
2023	A*	`conf`	Resurrecting Recurrent Neural Networks for Long Sequences. ICML Antonio Orvieto, Samuel L. Smith, Albert Gu, Anushan Fernando, Çaglar Gülçehre, Razvan Pascanu, Soham De
2023	J	`jnl`	Resurrecting Recurrent Neural Networks for Long Sequences. CoRR Antonio Orvieto, Samuel L. Smith, Albert Gu, Anushan Fernando, Çaglar Gülçehre, Razvan Pascanu, Soham De
2022	J	`jnl`	An Empirical Study of Implicit Regularization in Deep Offline RL. CoRR Çaglar Gülçehre, Srivatsan Srinivasan, Jakub Sygnowski, Georg Ostrovski, Mehrdad Farajtabar, Matt Hoffman, Razvan Pascanu, Arnaud Doucet
2022	J	`jnl`	An empirical study of implicit regularization in deep offline RL. Trans. Mach. Learn. Res. Çaglar Gülçehre, Srivatsan Srinivasan, Jakub Sygnowski, Georg Ostrovski, Mehrdad Farajtabar, Matthew Hoffman, Razvan Pascanu, Arnaud Doucet
2022	J	`jnl`	On Instrumental Variable Regression for Deep Offline Policy Evaluation. J. Mach. Learn. Res. Yutian Chen, Liyuan Xu, Çaglar Gülçehre, Tom Le Paine, Arthur Gretton, Nando de Freitas, Arnaud Doucet
2021	A*	`conf`	Active Offline Policy Selection. NeurIPS Ksenia Konyushkova, Yutian Chen, Thomas Paine, Çaglar Gülçehre, Cosmin Paduraru, Daniel J. Mankowitz, Misha Denil, Nando de Freitas
2021	J	`jnl`	Active Offline Policy Selection. CoRR Ksenia Konyushkova, Yutian Chen, Thomas Paine, Çaglar Gülçehre, Cosmin Paduraru, Daniel J. Mankowitz, Misha Denil, Nando de Freitas
2021	J	`jnl`	On Instrumental Variable Regression for Deep Offline Policy Evaluation. CoRR Yutian Chen, Liyuan Xu, Çaglar Gülçehre, Tom Le Paine, Arthur Gretton, Nando de Freitas, Arnaud Doucet
2021	J	`jnl`	Regularized Behavior Value Estimation. CoRR Çaglar Gülçehre, Sergio Gómez Colmenarejo, Ziyu Wang, Jakub Sygnowski, Thomas Paine, Konrad Zolna, Yutian Chen, Matthew W. Hoffman, Razvan Pascanu, Nando de Freitas
2020	J	`jnl`	Acme: A Research Framework for Distributed Reinforcement Learning. CoRR Matt Hoffman, Bobak Shahriari, John Aslanides, Gabriel Barth-Maron, Feryal M. P. Behbahani, Tamara Norman, Abbas Abdolmaleki, Albin Cassirer, Fan Yang, Kate Baumli, Sarah Henderson, Alexander Novikov, Sergio Gómez Colmenarejo, Serkan Cabi, Çaglar Gülçehre, Tom Le Paine, Andrew Cowie, Ziyu Wang, Bilal Piot, Nando de Freitas
2020	A*	`conf`	Critic Regularized Regression. NeurIPS Ziyu Wang, Alexander Novikov, Konrad Zolna, Josh Merel, Jost Tobias Springenberg, Scott E. Reed, Bobak Shahriari, Noah Y. Siegel, Çaglar Gülçehre, Nicolas Heess, Nando de Freitas
2020	J	`jnl`	Critic Regularized Regression. CoRR Ziyu Wang, Alexander Novikov, Konrad Zolna, Jost Tobias Springenberg, Scott E. Reed, Bobak Shahriari, Noah Y. Siegel, Josh Merel, Çaglar Gülçehre, Nicolas Heess, Nando de Freitas
2020	J	`jnl`	Hyperparameter Selection for Offline Reinforcement Learning. CoRR Tom Le Paine, Cosmin Paduraru, Andrea Michi, Çaglar Gülçehre, Konrad Zolna, Alexander Novikov, Ziyu Wang, Nando de Freitas
2020	A*	`conf`	Improving the Gating Mechanism of Recurrent Neural Networks. ICML Albert Gu, Çaglar Gülçehre, Thomas Paine, Matt Hoffman, Razvan Pascanu
2020	A*	`conf`	Making Efficient Use of Demonstrations to Solve Hard Exploration Problems. ICLR Çaglar Gülçehre, Tom Le Paine, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil C. Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team
2020	J	`jnl`	Offline Learning from Demonstrations and Unlabeled Experience. CoRR Konrad Zolna, Alexander Novikov, Ksenia Konyushkova, Çaglar Gülçehre, Ziyu Wang, Yusuf Aytar, Misha Denil, Nando de Freitas, Scott E. Reed
2020	J	`jnl`	Post-Workshop Report on Science meets Engineering in Deep Learning, NeurIPS 2019, Vancouver. CoRR Levent Sagun, Çaglar Gülçehre, Adriana Romero, Negar Rostamzadeh, Stefano Sarao Mannelli
2020	A*	`conf`	RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning. NeurIPS Çaglar Gülçehre, Ziyu Wang, Alexander Novikov, Thomas Paine, Sergio Gómez Colmenarejo, Konrad Zolna, Rishabh Agarwal, Josh Merel, Daniel J. Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matthew Hoffman, Nicolas Heess, Nando de Freitas
2020	J	`jnl`	RL Unplugged: Benchmarks for Offline Reinforcement Learning. CoRR Çaglar Gülçehre, Ziyu Wang, Alexander Novikov, Tom Le Paine, Sergio Gómez Colmenarejo, Konrad Zolna, Rishabh Agarwal, Josh Merel, Daniel J. Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matt Hoffman, Ofir Nachum, George Tucker, Nicolas Heess, Nando de Freitas
2020	A*	`conf`	Stabilizing Transformers for Reinforcement Learning. ICML Emilio Parisotto, H. Francis Song, Jack W. Rae, Razvan Pascanu, Çaglar Gülçehre, Siddhant M. Jayakumar, Max Jaderberg, Raphaël Lopez Kaufman, Aidan Clark, Seb Noury, Matthew M. Botvinick, Nicolas Heess, Raia Hadsell
2019	J	`jnl`	Gated Orthogonal Recurrent Units: On Learning to Forget. Neural Comput. Li Jing, Çaglar Gülçehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic, Yoshua Bengio
2019	J	`jnl`	Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nat. Oriol Vinyals, Igor Babuschkin, Wojciech M. Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H. Choi, Richard Powell, Timo Ewalds, Petko Georgiev, Junhyuk Oh, Dan Horgan, Manuel Kroiss, Ivo Danihelka, Aja Huang, Laurent Sifre, Trevor Cai, John P. Agapiou, Max Jaderberg, Alexander Sasha Vezhnevets, Rémi Leblond, Tobias Pohlen, Valentin Dalibard, David Budden, Yury Sulsky, James Molloy, Tom Le Paine, Çaglar Gülçehre, Ziyu Wang, Tobias Pfaff, Yuhuai Wu, Roman Ring, Dani Yogatama, Dario Wünsch, Katrina McKinney, Oliver Smith, Tom Schaul, Timothy P. Lillicrap, Koray Kavukcuoglu, Demis Hassabis, Chris Apps, David Silver
2019	—	`conf`	Hyperbolic Attention Networks. ICLR (Poster) Çaglar Gülçehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter W. Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas
2019	J	`jnl`	Improving the Gating Mechanism of Recurrent Neural Networks. CoRR Albert Gu, Çaglar Gülçehre, Tom Le Paine, Matthew W. Hoffman, Razvan Pascanu
2019	J	`jnl`	Making Efficient Use of Demonstrations to Solve Hard Exploration Problems. CoRR Tom Le Paine, Çaglar Gülçehre, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil C. Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team
2019	—	`conf`	Sample Efficient Adaptive Text-to-Speech. ICLR (Poster) Yutian Chen, Yannis M. Assael, Brendan Shillingford, David Budden, Scott E. Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Çaglar Gülçehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas
2019	A*	`conf`	Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning. ICML Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas
2019	J	`jnl`	Stabilizing Transformers for Reinforcement Learning. CoRR Emilio Parisotto, H. Francis Song, Jack W. Rae, Razvan Pascanu, Çaglar Gülçehre, Siddhant M. Jayakumar, Max Jaderberg, Raphael Lopez Kaufman, Aidan Clark, Seb Noury, Matthew M. Botvinick, Nicolas Heess, Raia Hadsell
2018	J	`jnl`	Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes. Neural Comput. Çaglar Gülçehre, Sarath Chandar, Kyunghyun Cho, Yoshua Bengio
2018	—	`conf`	Gated Orthogonal Recurrent Units: On Learning to Forget. AAAI Workshops Li Jing, Çaglar Gülçehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic, Yoshua Bengio
2018	J	`jnl`	Hyperbolic Attention Networks. CoRR Çaglar Gülçehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter W. Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas
2018	J	`jnl`	Intrinsic Social Motivation via Causal Influence in Multi-Agent RL. CoRR Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas
2018	J	`jnl`	Relational inductive biases, deep learning, and graph networks. CoRR Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinícius Flores Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Çaglar Gülçehre, H. Francis Song, Andrew J. Ballard, Justin Gilmer, George E. Dahl, Ashish Vaswani, Kelsey R. Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matthew M. Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu
2018	J	`jnl`	Sample Efficient Adaptive Text-to-Speech. CoRR Yutian Chen, Yannis M. Assael, Brendan Shillingford, David Budden, Scott E. Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Çaglar Gülçehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas
2017	J	`jnl`	A Robust Adaptive Stochastic Gradient Method for Deep Learning. CoRR Çaglar Gülçehre, Jose Sotelo, Marcin Moczulski, Yoshua Bengio
2017	B	`conf`	A robust adaptive stochastic gradient method for deep learning. IJCNN Çaglar Gülçehre, Jose Sotelo, Marcin Moczulski, Yoshua Bengio
2017	J	`jnl`	Gated Orthogonal Recurrent Units: On Learning to Forget. CoRR Li Jing, Çaglar Gülçehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic, Yoshua Bengio
2017	—	`conf`	Machine Comprehension by Text-to-Text Neural Question Generation. Rep4NLP@ACL Xingdi Yuan, Tong Wang, Çaglar Gülçehre, Alessandro Sordoni, Philip Bachman, Saizheng Zhang, Sandeep Subramanian, Adam Trischler
2017	J	`jnl`	Machine Comprehension by Text-to-Text Neural Question Generation. CoRR Xingdi Yuan, Tong Wang, Çaglar Gülçehre, Alessandro Sordoni, Philip Bachman, Sandeep Subramanian, Saizheng Zhang, Adam Trischler
2017	J	`jnl`	Memory Augmented Neural Networks with Wormhole Connections. CoRR Çaglar Gülçehre, Sarath Chandar, Yoshua Bengio
2017	—	`conf`	Mollifying Networks. ICLR (Poster) Çaglar Gülçehre, Marcin Moczulski, Francesco Visin, Yoshua Bengio
2017	J	`jnl`	On integrating a language model into neural machine translation. Comput. Speech Lang. Çaglar Gülçehre, Orhan Firat, Kelvin Xu, Kyunghyun Cho, Yoshua Bengio
2017	—	`conf`	Plan, Attend, Generate: Character-Level Neural Machine Translation with Planning. Rep4NLP@ACL Çaglar Gülçehre, Francis Dutil, Adam Trischler, Yoshua Bengio
2017	J	`jnl`	Plan, Attend, Generate: Character-level Neural Machine Translation with Planning in the Decoder. CoRR Çaglar Gülçehre, Francis Dutil, Adam Trischler, Yoshua Bengio
2017	—	`conf`	Plan, Attend, Generate: Planning for Sequence-to-Sequence Models. NIPS Çaglar Gülçehre, Francis Dutil, Adam Trischler, Yoshua Bengio
2017	J	`jnl`	Plan, Attend, Generate: Planning for Sequence-to-Sequence Models. CoRR Francis Dutil, Çaglar Gülçehre, Adam Trischler, Yoshua Bengio
2017	—	`conf`	Recurrent Batch Normalization. ICLR (Poster) Tim Cooijmans, Nicolas Ballas, César Laurent, Çaglar Gülçehre, Aaron C. Courville
2016	B	`conf`	Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond. CoNLL Ramesh Nallapati, Bowen Zhou, Cícero Nogueira dos Santos, Çaglar Gülçehre, Bing Xiang
2016	J	`jnl`	Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes. CoRR Çaglar Gülçehre, Sarath Chandar, Kyunghyun Cho, Yoshua Bengio
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	—	`conf`	Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus. ACL (1) Iulian Vlad Serban, Alberto García-Durán, Çaglar Gülçehre, Sungjin Ahn, Sarath Chandar, Aaron C. Courville, Yoshua Bengio
2016	J	`jnl`	Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus. CoRR Iulian Vlad Serban, Alberto García-Durán, Çaglar Gülçehre, Sungjin Ahn, Sarath Chandar, Aaron C. Courville, Yoshua Bengio
2016	J	`jnl`	Knowledge Matters: Importance of Prior Information for Optimization. J. Mach. Learn. Res. Çaglar Gülçehre, Yoshua Bengio
2016	J	`jnl`	Mollifying Networks. CoRR Çaglar Gülçehre, Marcin Moczulski, Francesco Visin, Yoshua Bengio
2016	A*	`conf`	Noisy Activation Functions. ICML Çaglar Gülçehre, Marcin Moczulski, Misha Denil, Yoshua Bengio
2016	J	`jnl`	Noisy Activation Functions. CoRR Çaglar Gülçehre, Marcin Moczulski, Misha Denil, Yoshua Bengio
2016	—	`conf`	Pointing the Unknown Words. ACL (1) Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio
2016	J	`jnl`	Pointing the Unknown Words. CoRR Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio
2016	A*	`conf`	Policy Distillation. ICLR (Poster) Andrei A. Rusu, Sergio Gomez Colmenarejo, Çaglar Gülçehre, Guillaume Desjardins, James Kirkpatrick, Razvan Pascanu, Volodymyr Mnih, Koray Kavukcuoglu, Raia Hadsell
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	A*	`conf`	Gated Feedback Recurrent Neural Networks. ICML Junyoung Chung, Çaglar Gülçehre, Kyunghyun Cho, Yoshua Bengio
2015	J	`jnl`	Gated Feedback Recurrent Neural Networks. CoRR Junyoung Chung, Çaglar Gülçehre, Kyunghyun Cho, Yoshua Bengio
2015	J	`jnl`	On Using Monolingual Corpora in Neural Machine Translation. CoRR Çaglar Gülçehre, Orhan Firat, Kelvin Xu, Kyunghyun Cho, Loïc Barrault, Huei-Chi Lin, Fethi Bougares, Holger Schwenk, Yoshua Bengio
2014	J	`jnl`	ADASECANT: Robust Adaptive Secant Method for Stochastic Gradient. CoRR Çaglar Gülçehre, Yoshua Bengio
2014	J	`jnl`	Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. CoRR Junyoung Chung, Çaglar Gülçehre, Kyunghyun Cho, Yoshua Bengio
2014	—	`conf`	How to Construct Deep Recurrent Neural Networks. ICLR (Poster) Razvan Pascanu, Çaglar Gülçehre, Kyunghyun Cho, Yoshua Bengio
2014	—	`conf`	Identifying and attacking the saddle point problem in high-dimensional non-convex optimization. NIPS Yann N. Dauphin, Razvan Pascanu, Çaglar Gülçehre, Kyunghyun Cho, Surya Ganguli, Yoshua Bengio
2014	J	`jnl`	Identifying and attacking the saddle point problem in high-dimensional non-convex optimization. CoRR Yann N. Dauphin, Razvan Pascanu, Çaglar Gülçehre, Kyunghyun Cho, Surya Ganguli, Yoshua Bengio
2014	—	`conf`	Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks. ECML/PKDD (1) Çaglar Gülçehre, Kyunghyun Cho, Razvan Pascanu, Yoshua Bengio
2014	A*	`conf`	Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. EMNLP Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio
2014	J	`jnl`	Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. CoRR Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Fethi Bougares, Holger Schwenk, Yoshua Bengio
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
2013	A*	`conf`	Knowledge Matters: Importance of Prior Information for Optimization ICLR Çaglar Gülçehre, Yoshua Bengio
2013	J	`jnl`	Learned-norm pooling for deep neural networks. CoRR Çaglar Gülçehre, Kyunghyun Cho, Razvan Pascanu, Yoshua Bengio