Manuel Gomez Rodriguez 个人学术档案

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Isabel ValeraSaarland University and Max Planck Institute for Software Systems在 cs.uni-saarland.de 的电子邮件经过验证
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETH在 tuebingen.mpg.de 的电子邮件经过验证
Le SongBiomap, Mohamed bin Zayed University of Artificial Intelligence在 biomap.com 的电子邮件经过验证
Abir DeAssistant Professor, CSE, IIT Bombay在 cse.iitb.ac.in 的电子邮件经过验证
Krishna P. GummadiHead, Networked Systems Group, MPI-SWS在 mpi-sws.org 的电子邮件经过验证
Utkarsh UpadhyayAI/ML Problem Solver在 musicallyut.in 的电子邮件经过验证
Muhammad Bilal ZafarRuhr University Bochum & Research Center for Trustworthy Data Science and Security在 rub.de 的电子邮件经过验证
NAN DUAI and Machine Learning Research, Apple在 apple.com 的电子邮件经过验证
Jure LeskovecProfessor of Computer Science, Stanford University在 cs.stanford.edu 的电子邮件经过验证
Hongyuan ZhaThe Chinese University of Hong Kong, Shenzhen在 cuhk.edu.cn 的电子邮件经过验证
Adish SinglaTenure-track Faculty, Max Planck Institute for Software Systems (MPI-SWS), Germany在 mpi-sws.org 的电子邮件经过验证
Andreas KrauseProfessor of Computer Science, ETH Zurich在 inf.ethz.ch 的电子邮件经过验证
Behzad TabibianReasonal Inc.在 btabibian.com 的电子邮件经过验证
Stratis TsirtsisPhD Student, Max Planck Institute for Software Systems在 mpi-sws.org 的电子邮件经过验证
Mehrdad FarajtabarResearch Scientist at Apple在 apple.com 的电子邮件经过验证
Niloy GangulyDepartment of CSE, Indian Institute of Technology, Kharagpur在 cse.iitkgp.ac.in 的电子邮件经过验证
Ali ZarezadePhD. in Machine Learning在 mpi-sws.org 的电子邮件经过验证
Nastaran OkatiPhD Candidate, Max Planck Institute for Software Systems (MPI-SWS)在 mpi-sws.org 的电子邮件经过验证
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKI在 ias.tu-darmstadt.de 的电子邮件经过验证
Moritz Grosse-WentrupUniversity of Vienna在 univie.ac.at 的电子邮件经过验证

关注

Manuel Gomez Rodriguez

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

在 mpi-sws.org 的电子邮件经过验证 - 首页

Machine Learning Artificial Intelligence Temporal Point Processes


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Inferring networks of diffusion and influence M Gomez Rodriguez, J Leskovec, A Krause Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	1590	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	1402	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	1323	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	747	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	744*	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	385	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	366	2013
Scalable Influence Estimation in Continuous-Time Diffusion Networks N Du, L Song, M Gomez Rodriguez, H Zha Neural Information Processing Systems (NIPS), 2013	322	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	299	2018
Influence Maximization in Continuous Time Diffusion Networks M Gomez Rodriguez, B Schölkopf Twenty-ninth International Conference on Machine Learning, Edinburgh, UK, 2012	299*	2012
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	298	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	276	2018
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	269*	2019
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	265*	2014
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	264	2017
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	248	2011
Modeling Information Propagation with Survival Theory M Gomez Rodriguez, J Leskovec, B Schölkopf 30th International Conference on Machine Learning (ICML) 2013, Atlanta (GA), 2013	214	2013
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	196	2019
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	179*	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	177	2014

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