Brian Karrer

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Mark NewmanProfessor of Physics, University of MichiganDirección de correo verificada de umich.edu
Eytan BakshyResearch Director, MetaDirección de correo verificada de fb.com
Johan UganderAssociate Professor, Stanford UniversityDirección de correo verificada de stanford.edu
Maximilian BalandatResearch Scientist Manager, MetaDirección de correo verificada de meta.com
Daniel R. JiangMeta & University of PittsburghDirección de correo verificada de meta.com
Cameron MarlowCTO, ApellaDirección de correo verificada de cameronmarlow.com
Andrew Gordon WilsonNew York UniversityDirección de correo verificada de cims.nyu.edu
Samuel DaultonResearch Scientist, MetaDirección de correo verificada de meta.com
Alon ShalitaDirección de correo verificada de cs.tau.ac.il
Dean EcklesMITDirección de correo verificada de mit.edu
Jon KleinbergProfessor of Computer Science, Cornell UniversityDirección de correo verificada de cs.cornell.edu
Moira BurkeResearch Scientist at FacebookDirección de correo verificada de fb.com
Michael S. BernsteinAssociate Professor, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Lada AdamicComputational Social Scientist at FacebookDirección de correo verificada de umich.edu
Sergey PupyrevApplied ResearchDirección de correo verificada de uran.ru
Elizaveta (Liza) LevinaProfessor of Statistics, University of MichiganDirección de correo verificada de umich.edu
Guilherme OttoniDistinguished Software Engineer at Meta PlatformsDirección de correo verificada de fb.com
Laxman DhulipalaUniversity of Maryland, College ParkDirección de correo verificada de umd.edu
Amin SayediProfessor of Marketing, University of WashingtonDirección de correo verificada de uw.edu
R RaviCarnegie Mellon UnviersityDirección de correo verificada de andrew.cmu.edu

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Brian Karrer

Research Science Manager, Meta

Dirección de correo verificada de fb.com

networks statistical physics generative models causal inference


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Stochastic blockmodels and community structure in networks B Karrer, MEJ Newman Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 83 (1 …, 2011	2473	2011
The Anatomy of the Facebook Social Graph J Ugander, B Karrer, L Backstrom, C Marlow Arxiv preprint arXiv:1111.4503, 2011	1406	2011
BoTorch: a framework for efficient Monte-Carlo Bayesian optimization M Balandat, B Karrer, D Jiang, S Daulton, B Letham, AG Wilson, E Bakshy Advances in neural information processing systems 33, 21524-21538, 2020	991*	2020
Quantifying the invisible audience in social networks MS Bernstein, E Bakshy, M Burke, B Karrer Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2013	523	2013
Efficient and principled method for detecting communities in networks B Ball, B Karrer, MEJ Newman Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 84 (3 …, 2011	499	2011
Social influence and the diffusion of user-created content E Bakshy, B Karrer, LA Adamic Proceedings of the 10th ACM conference on Electronic commerce, 325-334, 2009	482	2009
Robustness of community structure in networks B Karrer, E Levina, MEJ Newman Physical Review E 77 (4), 046119, 2008	443	2008
Message passing approach for general epidemic models B Karrer, MEJ Newman Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 82 (1 …, 2010	405	2010
Constrained Bayesian optimization with noisy experiments B Letham, B Karrer, G Ottoni, E Bakshy Bayesian Analysis 14 (2), 495-519, 2019	374	2019
Design and analysis of experiments in networks: Reducing bias from interference D Eckles, B Karrer, J Ugander Journal of Causal Inference 5 (1), 2016	315	2016
Graph cluster randomization: network exposure to multiple universes J Ugander, B Karrer, L Backstrom, J Kleinberg Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	292	2013
Percolation on sparse networks B Karrer, MEJ Newman, L Zdeborová Physical Review Letters 113 (20), 208702, 2014	291	2014
Competing epidemics on complex networks B Karrer, MEJ Newman Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 84 (3 …, 2011	275	2011
Voicebox: Text-guided multilingual universal speech generation at scale M Le, A Vyas, B Shi, B Karrer, L Sari, R Moritz, M Williamson, V Manohar, ... Advances in neural information processing systems 36, 2024	206	2024
Random graphs containing arbitrary distributions of subgraphs B Karrer, MEJ Newman Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 82 (6 …, 2010	187	2010
Coauthorship and citation patterns in the Physical Review T Martin, B Ball, B Karrer, MEJ Newman Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 88 (1 …, 2013	160	2013
AE: A domain-agnostic platform for adaptive experimentation E Bakshy, L Dworkin, B Karrer, K Kashin, B Letham, A Murthy, S Singh Conference on Neural Information Processing Systems, 1-8, 2018	129	2018
Compressing graphs and indexes with recursive graph bisection L Dhulipala, I Kabiljo, B Karrer, G Ottaviano, S Pupyrev, A Shalita Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016	127	2016
Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning L Yu, B Shi, R Pasunuru, B Muller, O Golovneva, T Wang, A Babu, B Tang, ... arXiv preprint arXiv:2309.02591, 2023	106	2023
We know who you followed last summer: inferring social link creation times in twitter B Meeder, B Karrer, A Sayedi, R Ravi, C Borgs, J Chayes Proceedings of the 20th international conference on World wide web, 517-526, 2011	104	2011

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