Roland Memisevic

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	All	Since 2016
Citations	5911	4880
h-index	34	29
i10-index	51	42

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Co-authors

kishore reddy kondaBayesTree IntelligenceVerified email at bayestree.com
Vincent MichalskiPh.D. candidate at Université de MontréalVerified email at umontreal.ca
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Samira Ebrahimi KahouAssociate Professor, École de technologie supérieure/MilaVerified email at etsmtl.ca
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleVerified email at cs.toronto.edu
Sébastien JeanNew York UniversityVerified email at nyu.edu
Chris PalProfessor, Polytechnique Montréal & Mila, Element AI, Canada CIFAR AI ChairVerified email at polymtl.ca
Pascal VincentFacebook AI Research; U. Montreal (Professor, Computer Sc. & Op. Res.); MILA; CIFARVerified email at iro.umontreal.ca
Daniel Jiwoong ImNew York UniversityVerified email at aifounded.com
Kyunghyun ChoNew York UniversityVerified email at nyu.edu
Zhouhan Lin（林洲汉）Facebook AI Research; Mila Lab; SJTUVerified email at umontreal.ca
Aaron CourvilleUniversité de MontréalVerified email at umontreal.ca
Ingo BaxTwenty Billion Neurons GmbHVerified email at twentybn.com
Xavier BouthillierUniversité de MontréalVerified email at umontreal.ca
Hui JiangProfessor of Electrical Engineering and Computer Science, York UniversityVerified email at cse.yorku.ca
Chris Dongjoo KimSeoul National UniversityVerified email at vision.snu.ac.kr
Caglar GulcehreResearch Scientist at Deepmind and PhD from MILAVerified email at iro.umontreal.ca
Pierre FROUMENTYPolytechnique MontréalVerified email at polymtl.ca
David Warde-FarleySenior Research Scientist, DeepMindVerified email at google.com
Yann N. DauphinGoogle AIVerified email at dauphin.io

Roland Memisevic

Twenty Billion Neurons, University of Montreal

Verified email at twentybn.com - Homepage

Artificial Intelligence Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
On Using Very Large Target Vocabulary for Neural Machine Translation S Jean, K Cho, R Memisevic, Y Bengio ACL 2015, 2014	859	2014
Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv e-prints, arXiv: 1605.02688, 2016	615	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	326	2016
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	294	2013
Neural networks with few multiplications Z Lin, M Courbariaux, R Memisevic, Y Bengio arXiv preprint arXiv:1510.03009, 2015	286	2015
The" something something" video database for learning and evaluating visual common sense R Goyal, S Ebrahimi Kahou, V Michalski, J Materzynska, S Westphal, ... Proceedings of the IEEE International Conference on Computer Vision, 5842-5850, 2017	282	2017
Learning to represent spatial transformations with factored higher-order Boltzmann machines R Memisevic, GE Hinton Neural computation 22 (6), 1473-1492, 2010	281	2010
Recurrent neural networks for emotion recognition in video S Ebrahimi Kahou, V Michalski, K Konda, R Memisevic, C Pal Proceedings of the 2015 ACM on international conference on multimodal …, 2015	249	2015
Unsupervised learning of image transformations R Memisevic, G Hinton 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007	232	2007
Generating images with recurrent adversarial networks DJ Im, CD Kim, H Jiang, R Memisevic arXiv preprint arXiv:1602.05110, 2016	187	2016
Theano: A Python framework for fast computation of mathematical expressions TTD Team, R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, ... arXiv preprint arXiv:1605.02688, 2016	161	2016
Montreal neural machine translation systems for WMT’15 S Jean, O Firat, K Cho, R Memisevic, Y Bengio Proceedings of the Tenth Workshop on Statistical Machine Translation, 134-140, 2015	136	2015
Architectural complexity measures of recurrent neural networks S Zhang, Y Wu, T Che, Z Lin, R Memisevic, R Salakhutdinov, Y Bengio arXiv preprint arXiv:1602.08210, 2016	131	2016
Learning visual odometry with a convolutional network. KR Konda, R Memisevic VISAPP (1), 486-490, 2015	128	2015
Learning to relate images R Memisevic IEEE transactions on pattern analysis and machine intelligence 35 (8), 1829-1846, 2013	119	2013
Learning to solve QBF H Samulowitz, R Memisevic AAAI 7, 255-260, 2007	108	2007
Denoising criterion for variational auto-encoding framework D Im Im, S Ahn, R Memisevic, Y Bengio Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	104	2017
Modeling deep temporal dependencies with recurrent grammar cells"" V Michalski, R Memisevic, K Konda Advances in neural information processing systems 27, 1925-1933, 2014	99	2014
Gated softmax classification R Memisevic, C Zach, M Pollefeys, GE Hinton Advances in neural information processing systems 23, 1603-1611, 2010	91	2010
Gradient-based learning of higher-order image features R Memisevic 2011 International Conference on Computer Vision, 1591-1598, 2011	82	2011

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