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
Abir DeAssistant Professor, CSE, IIT BombayVerified email at cse.iitb.ac.in
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
Utkarsh UpadhyayAI/ML Problem SolverVerified email at musicallyut.in
Muhammad Bilal ZafarRuhr University Bochum & Research Center for Trustworthy Data Science and SecurityVerified email at rub.de
NAN DUAI and Machine Learning Research, AppleVerified email at apple.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
Adish SinglaTenured Faculty, Max Planck Institute for Software Systems (MPI-SWS), GermanyVerified email at mpi-sws.org
Stratis TsirtsisMax Planck Institute for Software SystemsVerified email at mpi-sws.org
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Behzad TabibianReasonal Inc.Verified email at btabibian.com
Mehrdad FarajtabarResearch Scientist at AppleVerified email at apple.com
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
Nastaran OkatiPhD Candidate, Max Planck Institute for Software Systems (MPI-SWS)Verified email at mpi-sws.org
Eleni StraitouriPhD Student, Max Planck Institute for Software SystemsVerified email at mpi-sws.org
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIVerified email at ias.tu-darmstadt.de

Manuel Gomez Rodriguez

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

Verified email at mpi-sws.org - Homepage

Machine Learning Artificial Intelligence Temporal Point Processes


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	1625	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	1583	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	1472	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	816	2016
Uncovering the temporal dynamics of diffusion networks M Gomez-Rodriguez, D Balduzzi, B Schölkopf Twenty-eighth International Conference on Machine Learning, Bellevue, Washington, 2011	757*	2011
Fairness constraints: A flexible approach for fair classification MB Zafar, I Valera, M Gomez-Rodriguez, KP Gummadi Journal of Machine Learning Research 20 (75), 1-42, 2019	451	2019
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	373	2013
Scalable Influence Estimation in Continuous-Time Diffusion Networks N Du, L Song, M Gomez Rodriguez, H Zha Neural Information Processing Systems (NIPS), 2013	331	2013
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	327	2018
Coevolve: A joint point process model for information diffusion and network evolution M Farajtabar, Y Wang, M Gomez-Rodriguez, S Li, H Zha, L Song Journal of Machine Learning Research 18 (41), 1-49, 2017	315	2017
Influence Maximization in Continuous Time Diffusion Networks M Gomez Rodriguez, B Schölkopf Twenty-ninth International Conference on Machine Learning, Edinburgh, UK, 2012	306*	2012
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	304*	2019
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	288	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	286	2017
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	278*	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	258	2011
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	223	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	217	2013
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	184	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	182*	2014

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