Manuel Gomez Rodriguez

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Isabel ValeraSaarland University and Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Le SongGeorgia Institute of TechnologyVerified email at cc.gatech.edu
Krishna P. GummadiHead, Networked Systems Group, MPI-SWSVerified email at mpi-sws.org
Abir DeAssistant Professor, CSE, IIT BombayVerified email at cse.iitb.ac.in
Utkarsh UpadhyayReasonal Inc.Verified email at mpi-sws.org
Jure LeskovecProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
NAN DUGoogle BrainVerified email at google.com
Hongyuan ZhaThe Chinese University of Hong Kong, ShenzhenVerified email at cuhk.edu.cn
Muhammad Bilal ZafarAmazon Web ServicesVerified email at mpi-sws.org
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Mehrdad FarajtabarResearch Scientist, Google DeepMindVerified email at google.com
Behzad TabibianReasonal Inc.Verified email at btabibian.com
Adish SinglaTenure-track Faculty, Max Planck Institute for Software Systems (MPI-SWS), GermanyVerified email at mpi-sws.org
Niloy GangulyDepartment of CSE, Indian Institute of Technology, KharagpurVerified email at cse.iitkgp.ac.in
Jan PetersProfessor for Intelligent Autonomous Systems at Technische Universität DarmstadtVerified email at ias.tu-darmstadt.de
Moritz Grosse-WentrupUniversity of ViennaVerified email at univie.ac.at
Jeremy HillResearch Scientist, Burke Neurological Institute and Blythedale Children's HospitalVerified email at med.cornell.edu
David BalduzziXTX MarketsVerified email at google.com
Ali ZarezadePhD. in Machine LearningVerified email at mpi-sws.org

Manuel Gomez Rodriguez

Tenure-track Faculty, Max Planck Institute for Software Systems (MPI-SWS)

Verified email at mpi-sws.org - Homepage

Machine Learning Networks Temporal Point Processes Human-Centered ML Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Inferring networks of diffusion and influence M Gomez Rodriguez, J Leskovec, A Krause Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	1338	2010
Uncovering the temporal dynamics of diffusion networks M Gomez-Rodriguez, D Balduzzi, B Schölkopf Twenty-eighth International Conference on Machine Learning, Bellevue, Washington, 2011	603*	2011
Fairness Constraints: Mechanisms for Fair Classification MB Zafar, I Valera, MG Rodriguez, KP Gummadi The 20th International Conference on Artificial Intelligence and Statistics …, 2017	546	2017
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment MB Zafar, I Valera, MG Rodriguez, KP Gummadi The 26th International World Wide Web Conference (WWW), 2017	545	2017
Recurrent Marked Temporal Point Processes: Embedding Event History to Vector N Du, H Dai, R Trivedi, U Upadhyay, M Gomez-Rodriguez, L Song Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016	341	2016
Structure and Dynamics of Information Pathways in Online Media M Gomez Rodriguez, J Leskovec, B Schölkopf 6th International Conference on Web Search and Data Mining (WSDM 2013), Rome …, 2013	303	2013
Scalable Influence Estimation in Continuous-Time Diffusion Networks N Du, L Song, M Gomez Rodriguez, H Zha Neural Information Processing Systems (NIPS), 2013	287	2013
Influence Maximization in Continuous Time Diffusion Networks M Gomez Rodriguez, B Schölkopf Twenty-ninth International Conference on Machine Learning, Edinburgh, UK, 2012	248*	2012
Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery M Gomez-Rodriguez, J Peters, J Hill, B Schölkopf, A Gharabaghi, ... Journal of Neural Engineering 8, 036005, 2011	190	2011
Coevolve: A joint point process model for information diffusion and network co-evolution M Farajtabar, M Gomez-Rodriguez, Y Wang, S Li, H Zha, L Song Companion Proceedings of the The Web Conference 2018, 473-477, 2018	185	2018
Modeling Information Propagation with Survival Theory M Gomez Rodriguez, J Leskovec, B Schölkopf 30th International Conference on Machine Learning (ICML) 2013, Atlanta (GA), 2013	174	2013
Quantifying Information Overload in Social Media and its Impact on Social Contagions M Gomez Rodriguez, K Gummadi, B Schölkopf The 8th International Conference on Weblogs and Social Media (ICWSM), 2014	165*	2014
Shaping Social Activity by Incentivizing Users M Farajtabar, N Du, M Gomez-Rodriguez, I Valera, H Zha, L Song Neural Information Processing Systems (NIPS), 2014	150	2014
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm. H Daneshmand, M Gomez-Rodriguez, L Song, B Schoelkopf 31st International Conference on Machine Learning (ICML), 793-801, 2014	139*	2014
Fake news detection in social networks via crowd signals S Tschiatschek, A Singla, M Gomez Rodriguez, A Merchant, A Krause Companion Proceedings of the The Web Conference 2018, 517-524, 2018	133	2018
From parity to preference-based notions of fairness in classification MB Zafar, I Valera, M Rodriguez, K Gummadi, A Weller Advances in Neural Information Processing Systems, 228-238, 2017	131	2017
Leveraging the crowd to detect and reduce the spread of fake news and misinformation J Kim, B Tabibian, A Oh, B Schölkopf, M Gomez-Rodriguez Proceedings of the eleventh ACM international conference on web search and …, 2018	126	2018
Uncovering the structure and temporal dynamics of information propagation M Gomez-Rodriguez, J Leskovec, D Balduzzi, B Schölkopf Network Science 2 (1), 26-65, 2014	122	2014
NeVAE: A Deep Generative Model for Molecular Graphs B Samanta, A De, G Jana, PK Chattaraj, N Ganguly, M Gomez-Rodriguez Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019	94*	2019
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades M Farajtabar, M Gomez-Rodriguez, N Du, M Zamani, H Zha, L Song The 18th International Conference on Artificial Intelligence and Statistics …, 2015	83	2015

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