Manuel Gomez Rodriguez

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Isabel ValeraSaarland University and Max Planck Institute for Software SystemsZweryfikowany adres z cs.uni-saarland.de
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHZweryfikowany adres z tuebingen.mpg.de
Abir DeAssistant Professor, CSE, IIT BombayZweryfikowany adres z cse.iitb.ac.in
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceZweryfikowany adres z biomap.com
Krishna P. GummadiHead, Networked Systems Group, MPI-SWSZweryfikowany adres z mpi-sws.org
Utkarsh UpadhyayAI/ML Problem SolverZweryfikowany adres z musicallyut.in
Muhammad Bilal ZafarRuhr University Bochum & Research Center for Trustworthy Data Science and SecurityZweryfikowany adres z rub.de
NAN DUAI and Machine Learning Research, AppleZweryfikowany adres z apple.com
Jure LeskovecProfessor of Computer Science, Stanford UniversityZweryfikowany adres z cs.stanford.edu
Hongyuan ZhaThe Chinese University of Hong Kong, ShenzhenZweryfikowany adres z cuhk.edu.cn
Adish SinglaTenured Faculty, Max Planck Institute for Software Systems (MPI-SWS), GermanyZweryfikowany adres z mpi-sws.org
Andreas KrauseProfessor of Computer Science, ETH ZurichZweryfikowany adres z inf.ethz.ch
Stratis TsirtsisPhD Student, Max Planck Institute for Software SystemsZweryfikowany adres z mpi-sws.org
Behzad TabibianReasonal Inc.Zweryfikowany adres z btabibian.com
Mehrdad FarajtabarResearch Scientist at AppleZweryfikowany adres z apple.com
Niloy GangulyDepartment of CSE, Indian Institute of Technology, KharagpurZweryfikowany adres z cse.iitkgp.ac.in
Ali ZarezadePhD. in Machine LearningZweryfikowany adres z mpi-sws.org
Nastaran OkatiPhD Candidate, Max Planck Institute for Software Systems (MPI-SWS)Zweryfikowany adres z mpi-sws.org
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIZweryfikowany adres z ias.tu-darmstadt.de
Moritz Grosse-WentrupUniversity of ViennaZweryfikowany adres z univie.ac.at

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Manuel Gomez Rodriguez

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

Zweryfikowany adres z mpi-sws.org - Strona główna

Machine Learning Artificial Intelligence Temporal Point Processes


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Inferring networks of diffusion and influence M Gomez Rodriguez, J Leskovec, A Krause Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	1612	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	1488	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	1407	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	780	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	751*	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	418	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	371	2013
Scalable Influence Estimation in Continuous-Time Diffusion Networks N Du, L Song, M Gomez Rodriguez, H Zha Neural Information Processing Systems (NIPS), 2013	327	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	312	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	304	2017
Influence Maximization in Continuous Time Diffusion Networks M Gomez Rodriguez, B Schölkopf Twenty-ninth International Conference on Machine Learning, Edinburgh, UK, 2012	302*	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	291*	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	280	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	278	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	273*	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	256	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	215	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	210	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	180*	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	180	2014

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