Manuel Gomez Rodriguez

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Isabel ValeraSaarland University and Max Planck Institute for Software SystemsEmail verificata su cs.uni-saarland.de
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHEmail verificata su tuebingen.mpg.de
Abir DeAssistant Professor, CSE, IIT BombayEmail verificata su cse.iitb.ac.in
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceEmail verificata su biomap.com
Krishna P. GummadiHead, Networked Systems Group, MPI-SWSEmail verificata su mpi-sws.org
Utkarsh UpadhyayAI/ML Problem SolverEmail verificata su musicallyut.in
Muhammad Bilal ZafarRuhr University Bochum & Research Center for Trustworthy Data Science and SecurityEmail verificata su rub.de
NAN DUAI and Machine Learning Research, AppleEmail verificata su apple.com
Jure LeskovecProfessor of Computer Science, Stanford UniversityEmail verificata su cs.stanford.edu
Hongyuan ZhaThe Chinese University of Hong Kong, ShenzhenEmail verificata su cuhk.edu.cn
Adish SinglaTenured Faculty, Max Planck Institute for Software Systems (MPI-SWS), GermanyEmail verificata su mpi-sws.org
Stratis TsirtsisMax Planck Institute for Software SystemsEmail verificata su mpi-sws.org
Andreas KrauseProfessor of Computer Science, ETH ZurichEmail verificata su inf.ethz.ch
Behzad TabibianReasonal Inc.Email verificata su btabibian.com
Mehrdad FarajtabarResearch Scientist at AppleEmail verificata su apple.com
Niloy GangulyDepartment of CSE, Indian Institute of Technology, KharagpurEmail verificata su cse.iitkgp.ac.in
Ali ZarezadePhD. in Machine LearningEmail verificata su mpi-sws.org
Nastaran OkatiPhD Candidate, Max Planck Institute for Software Systems (MPI-SWS)Email verificata su mpi-sws.org
Eleni StraitouriPhD Student, Max Planck Institute for Software SystemsEmail verificata su mpi-sws.org
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIEmail verificata su ias.tu-darmstadt.de

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Manuel Gomez Rodriguez

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

Email verificata su mpi-sws.org - Home page

Machine Learning Artificial Intelligence Temporal Point Processes


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Inferring networks of diffusion and influence M Gomez Rodriguez, J Leskovec, A Krause Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	1621	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	1546	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	1456	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	800	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	755*	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	438	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	372	2013
Scalable Influence Estimation in Continuous-Time Diffusion Networks N Du, L Song, M Gomez Rodriguez, H Zha Neural Information Processing Systems (NIPS), 2013	330	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	318	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	308	2017
Influence Maximization in Continuous Time Diffusion Networks M Gomez Rodriguez, B Schölkopf Twenty-ninth International Conference on Machine Learning, Edinburgh, UK, 2012	303*	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	300*	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	285	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	283	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	276*	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	257	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	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	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	182	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	180*	2014

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