Mehrdad Farajtabar

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Hongyuan ZhaThe Chinese University of Hong Kong, ShenzhenVerified email at cuhk.edu.cn
Le SongGeorgia Institute of TechnologyVerified email at cc.gatech.edu
Manuel Gomez RodriguezFaculty, Max Planck Institute for Software Systems (MPI-SWS)Verified email at mpi-sws.org
Ang LiSenior Research Scientist, Google DeepMindVerified email at deepmind.com
Rakshit TrivediGeorgia Institute of TechnologyVerified email at gatech.edu
Seyed Iman MirzadehWashington State UniversityVerified email at wsu.edu
Hamid R. RabieeProfessor of Computer Engineering, Sharif University of TechnologyVerified email at sharif.edu
NAN DUGoogle BrainVerified email at google.com
Nir LevineResearch Engineer at DeepMindVerified email at google.com
Xiaojing YeAssociate Professor, Department of Mathematics & Statistics, Georgia State University, Atlanta, GAVerified email at gsu.edu
Razvan PascanuResearch Scientist at Google DeepMindVerified email at google.com
Amirreza ShabanPostdoctoral Researcher, University of WashingtonVerified email at uw.edu
Isabel ValeraSaarland University and Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Hongteng Xu 许洪腾Associate Professor (Tenure-Track), Renmin University of ChinaVerified email at ruc.edu.cn
Jiachen YangGeorgia Institute of TechnologyVerified email at gatech.edu
Dong YinResearch Scientist, DeepMindVerified email at google.com
Amr AhmedSenior Staff Research Scientist, Google AIVerified email at google.com
Alex SmolaAmazon Web ServicesVerified email at smola.org
Balaji LakshminarayananStaff Research Scientist at Google BrainVerified email at google.com
Yinlam ChowResearch Scientist, Google ResearchVerified email at google.com

Mehrdad Farajtabar

Google DeepMind

Verified email at google.com - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Coevolve: A joint point process model for information diffusion and network co-evolution M Farajtabar, Y Wang, MG Rodriguez, S Li, H Zha, L Song arXiv preprint arXiv:1507.02293, 2015	200	2015
Improved knowledge distillation via teacher assistant: Bridging the gap between student and teacher SI Mirzadeh, M Farajtabar, A Li, H Ghasemzadeh AAAI 2020, 2020	172*	2020
Shaping social activity by incentivizing users M Farajtabar, N Du, MG Rodriguez, I Valera, H Zha, L Song Advances in neural information processing systems 27, 2014	152	2014
Dirichlet-hawkes processes with applications to clustering continuous-time document streams N Du, M Farajtabar, A Ahmed, AJ Smola, L Song Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	147	2015
Learning granger causality for hawkes processes H Xu, M Farajtabar, H Zha International Conference on Machine Learning, 1717-1726, 2016	140	2016
Dyrep: Learning representations over dynamic graphs R Trivedi, M Farajtabar, P Biswal, H Zha International Conference on Learning Representations (ICLR), 2019	138*	2019
More robust doubly robust off-policy evaluation M Farajtabar, Y Chow, M Ghavamzadeh International Conference on Machine Learning (ICML), 1446-1455, 2018	119	2018
Fake news mitigation via point process based intervention M Farajtabar, J Yang, X Ye, H Xu, R Trivedi, E Khalil, S Li, L Song, H Zha International Conference on Machine Learning, 1097-1106, 2017	114	2017
Wasserstein learning of deep generative point process models S Xiao, M Farajtabar, X Ye, J Yan, L Song, H Zha arXiv preprint arXiv:1705.08051, 2017	104	2017
Back to the past: Source identification in diffusion networks from partially observed cascades M Farajtabar, MG Rodriguez, M Zamani, N Du, H Zha, L Song Artificial Intelligence and Statistics, 232-240, 2015	85	2015
Learning time series associated event sequences with recurrent point process networks S Xiao, J Yan, M Farajtabar, L Song, X Yang, H Zha IEEE transactions on neural networks and learning systems 30 (10), 3124-3136, 2019	58*	2019
Adapting auxiliary losses using gradient similarity Y Du, WM Czarnecki, SM Jayakumar, M Farajtabar, R Pascanu, ... arXiv preprint arXiv:1812.02224, 2018	53	2018
Multistage Campaigning in Social Networks M Farajtabar, X Ye, S Harati, L Song, H Zha Advances in Neural Information Processing Systems, 4718-4726, 2016	49	2016
Recurrent poisson factorization for temporal recommendation SA Hosseini, A Khodadadi, K Alizadeh, A Arabzadeh, M Farajtabar, H Zha, ... IEEE Transactions on Knowledge and Data Engineering 32 (1), 121-134, 2018	46	2018
Self-distillation amplifies regularization in hilbert space H Mobahi, M Farajtabar, PL Bartlett arXiv preprint arXiv:2002.05715, 2020	45	2020
Correlated cascades: Compete or cooperate A Zarezade, A Khodadadi, M Farajtabar, HR Rabiee, H Zha AAAI 2017, 2017	45	2017
Orthogonal Gradient Descent for Continual Learning M Farajtabar, N Azizan, A Mott, A Li AISTATS 2020, 2020	40	2020
NetCodec: Community Detection from Individual Activities L Tran, M Farajtabar, L Song, H Zha SIAM International Conference on Data Mining, 2015	39	2015
From local similarity to global coding: An application to image classification A Shaban, HR Rabiee, M Farajtabar, M Ghazvininejad Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013	39	2013
Smart broadcasting: Do you want to be seen? MR Karimi, E Tavakoli, M Farajtabar, L Song, M Gomez Rodriguez Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016	34	2016

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