Caglar Gulcehre - Google Scholar

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	All	Since 2015
Citations	22712	22469
h-index	33	33
i10-index	40	39

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201420152016201720182019202095 415 1648 3200 5462 7716 3979

Co-authors

Yoshua BengioProfessor, University of Montreal (Computer Sc. & Op. Res.), Mila, CIFAR, CRM, IVADO, REPARTI, GRSNCVerified email at mila.quebec
Kyunghyun ChoNew York UniversityVerified email at nyu.edu
Razvan PascanuResearch Scientist at Google DeepMindVerified email at google.com
Holger SchwenkResearch scientist, Facebook, and professor of Computer ScienceVerified email at fb.com
Fethi bougaresAssociate Professor, University of Le MansVerified email at univ-lemans.fr
Junyoung ChungResearch Scientist, DeepMindVerified email at google.com
Bart van MerriënboerGoogleVerified email at google.com
Dzmitry BahdanauElement AIVerified email at iro.umontreal.ca
Yann N. DauphinGoogle AIVerified email at dauphin.io
Aaron CourvilleUniversité de MontréalVerified email at umontreal.ca
Ramesh Maruthi NallapatiPrincipal Applied Scientist, Amazon AWS AIVerified email at amazon.com
Bowen ZhouVP, JD.com; Head of JD AI & Director of JD AI ResearchVerified email at jd.com
Sarath ChandarAssistant Professor @ Polytechnique Montreal and Mila. Canada CIFAR AI Chair.Verified email at mila.quebec
Sungjin AhnAssistant Professor, Rutgers UniversityVerified email at rutgers.edu
Surya GanguliAssociate Professor, Stanford UniversityVerified email at stanford.edu
Bing XiangPrincipal ScientistVerified email at amazon.com
Marcin MoczulskiUniversity of OxfordVerified email at stcatz.ox.ac.uk
Misha DenilDeepMindVerified email at google.com
Sergio Gómez ColmenarejoResearch Engineer, DeepMindVerified email at google.com
Kelvin XuPhD Student at UC BerkeleyVerified email at berkeley.edu

Caglar Gulcehre

Research Scientist at Deepmind and PhD from MILA

Verified email at iro.umontreal.ca - Homepage

Machine Learning Representation Learning Reinforcement Learning Cognitive Science


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Learning phrase representations using RNN encoder-decoder for statistical machine translation K Cho, B Van Merriënboer, C Gulcehre, D Bahdanau, F Bougares, ... arXiv preprint arXiv:1406.1078, 2014	9906	2014
Empirical evaluation of gated recurrent neural networks on sequence modeling J Chung, C Gulcehre, KH Cho, Y Bengio arXiv preprint arXiv:1412.3555, 2014	4834	2014
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization YN Dauphin, R Pascanu, C Gulcehre, K Cho, S Ganguli, Y Bengio Advances in neural information processing systems, 2933-2941, 2014	941	2014
Abstractive text summarization using sequence-to-sequence rnns and beyond R Nallapati, B Zhou, C Gulcehre, B Xiang arXiv preprint arXiv:1602.06023, 2016	924	2016
How to construct deep recurrent neural networks R Pascanu, C Gulcehre, K Cho, Y Bengio arXiv preprint arXiv:1312.6026, 2013	676	2013
Relational inductive biases, deep learning, and graph networks PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ... arXiv preprint arXiv:1806.01261, 2018	670	2018
Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv, arXiv: 1605.02688, 2016	577	2016
Gated feedback recurrent neural networks J Chung, C Gulcehre, K Cho, Y Bengio International conference on machine learning, 2067-2075, 2015	561	2015
Pointing the unknown words C Gulcehre, S Ahn, R Nallapati, B Zhou, Y Bengio arXiv preprint arXiv:1603.08148, 2016	363	2016
Recurrent batch normalization T Cooijmans, N Ballas, C Laurent, Ç Gülçehre, A Courville arXiv preprint arXiv:1603.09025, 2016	315	2016
Emonets: Multimodal deep learning approaches for emotion recognition in video SE Kahou, X Bouthillier, P Lamblin, C Gulcehre, V Michalski, K Konda, ... Journal on Multimodal User Interfaces 10 (2), 99-111, 2016	272	2016
On using monolingual corpora in neural machine translation C Gulcehre, O Firat, K Xu, K Cho, L Barrault, HC Lin, F Bougares, ... arXiv preprint arXiv:1503.03535, 2015	269	2015
Policy distillation AA Rusu, SG Colmenarejo, C Gulcehre, G Desjardins, J Kirkpatrick, ... arXiv preprint arXiv:1511.06295, 2015	263	2015
Combining modality specific deep neural networks for emotion recognition in video SE Kahou, C Pal, X Bouthillier, P Froumenty, Ç Gülçehre, R Memisevic, ... Proceedings of the 15th ACM on International conference on multimodal …, 2013	258	2013
Grandmaster level in StarCraft II using multi-agent reinforcement learning O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ... Nature 575 (7782), 350-354, 2019	224	2019
AlphaStar: Mastering the Real-Time Strategy Game StarCraft II Jan, 2019	189*	2019
Generating factoid questions with recurrent neural networks: The 30m factoid question-answer corpus IV Serban, A García-Durán, C Gulcehre, S Ahn, S Chandar, A Courville, ... arXiv preprint arXiv:1603.06807, 2016	176	2016
Noisy activation functions C Gulcehre, M Moczulski, M Denil, Y Bengio International conference on machine learning, 3059-3068, 2016	143	2016
Empirical evaluation of gated recurrent neural networks on sequence modeling (2014) J Chung, C Gulcehre, KH Cho, Y Bengio arXiv preprint arXiv:1412.3555, 2014	124	2014
Knowledge matters: Importance of prior information for optimization Ç Gülçehre, Y Bengio The Journal of Machine Learning Research 17 (1), 226-257, 2016	117	2016

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