Manuel Gomez Rodriguez

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Isabel ValeraSaarland University and Max Planck Institute for Software SystemsVerified email at cs.uni-saarland.de
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerified email at biomap.com
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 UpadhyayAI/ML Problem SolverVerified email at musicallyut.in
Muhammad Bilal ZafarAmazon Web ServicesVerified email at mpi-sws.org
NAN DUGoogle BrainVerified email at google.com
Jure LeskovecProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Hongyuan ZhaThe Chinese University of Hong Kong, ShenzhenVerified email at cuhk.edu.cn
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Adish SinglaTenure-track Faculty, Max Planck Institute for Software Systems (MPI-SWS), GermanyVerified email at mpi-sws.org
Behzad TabibianReasonal Inc.Verified email at btabibian.com
Mehrdad FarajtabarResearch Scientist at AppleVerified email at apple.com
Stratis TsirtsisPhD Student, Max Planck Institute for Software SystemsVerified email at mpi-sws.org
Niloy GangulyDepartment of CSE, Indian Institute of Technology, KharagpurVerified email at cse.iitkgp.ac.in
Ali ZarezadePhD. in Machine LearningVerified email at mpi-sws.org
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 HillNational Center for Adaptive Neurotechnologies; Stratton VA Medical Center, Albany, NY, USAVerified email at med.cornell.edu

Manuel Gomez Rodriguez

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	1535	2010
Fairness Constraints: Mechanisms for Fair Classification MB Zafar, I Valera, MG Rodriguez, KP Gummadi The 20th International Conference on Artificial Intelligence and Statistics …, 2017	1169	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	1140	2017
Uncovering the temporal dynamics of diffusion networks M Gomez-Rodriguez, D Balduzzi, B Schölkopf Twenty-eighth International Conference on Machine Learning, Bellevue, Washington, 2011	713*	2011
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	654	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	352	2013
Scalable Influence Estimation in Continuous-Time Diffusion Networks N Du, L Song, M Gomez Rodriguez, H Zha Neural Information Processing Systems (NIPS), 2013	313	2013
Fairness constraints: A flexible approach for fair classification MB Zafar, I Valera, M Gomez-Rodriguez, KP Gummadi The Journal of Machine Learning Research 20 (1), 2737-2778, 2019	293	2019
Influence Maximization in Continuous Time Diffusion Networks M Gomez Rodriguez, B Schölkopf Twenty-ninth International Conference on Machine Learning, Edinburgh, UK, 2012	285*	2012
Coevolve: A joint point process model for information diffusion and network co-evolution M Farajtabar, Y Wang, M Gomez Rodriguez, S Li, H Zha, L Song Advances in Neural Information Processing Systems 28, 2015	272	2015
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	267	2018
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	259	2018
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	242*	2014
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	236	2011
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	225	2017
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	219*	2019
Modeling Information Propagation with Survival Theory M Gomez Rodriguez, J Leskovec, B Schölkopf 30th International Conference on Machine Learning (ICML) 2013, Atlanta (GA), 2013	213	2013
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	172*	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	164	2014
Enhancing human learning via spaced repetition optimization B Tabibian, U Upadhyay, A De, A Zarezade, B Schölkopf, ... Proceedings of the National Academy of Sciences 116 (10), 3988-3993, 2019	157	2019

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