Alumni
Since November 2014, I am a Tenure Track Faculty at MPI for Software Systems. Before that, I did my Ph.D. jointly at MPI for Intelligent Systems and Stanford University.
My research interests lie in the development of machine learning and large-scale data mining methods for the analysis and modeling of large real-world networks and processes that take place over them. I am particularly interested in problems motivated by the Web and social media. For more information, please visit my personal website.
social networks information networks information diffusion point processes
For more information, please visit my personal website.
To download my resume in pdf, click here.
Kim, J., Tabibian, B., Oh, A., Schölkopf, B., Gomez Rodriguez, M.
Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation
Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM 2018), 2018 (conference) Accepted
Tabibian, B., Valera, I., Farajtabar, M., Song, L., Schölkopf, B., Gomez Rodriguez, M.
Distilling Information Reliability and Source Trustworthiness from Digital Traces
Proceedings of the 26th International Conference on World Wide Web (WWW 2017), pages: 847-855, (Editors: Barrett, R., Cummings, R., Agichtein, E. and Gabrilovich, E. ), ACM, 2017 (conference)
Gomez Rodriguez, M., Song, L., Daneshmand, H., Schölkopf, B.
Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm
Journal of Machine Learning Research, 17(90):1-29, 2016 (article)
Gomez-Rodriguez, M., Song, L., Du, N., Zha, H., Schölkopf, B.
Influence Estimation and Maximization in Continuous-Time Diffusion Networks
ACM Transactions on Information Systems, 34(2):9:1-9:33, 2016 (article)
Gomez Rodriguez, M., Gummadi, K., Schölkopf, B.
Quantifying Information Overload in Social Media and its Impact on Social Contagions
In Proceedings of the Eighth International Conference on Weblogs and Social Media, pages: 170-179, (Editors: E. Adar, P. Resnick, M. De Choudhury, B. Hogan, and A. Oh), AAAI Press, ICWSM, 2014 (inproceedings)
Daneshmand, H., Gomez Rodriguez, M., Song, L., Schölkopf, B.
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm
In Proceedings of the 31st International Conference on Machine Learning, W&CP 32 (1), pages: 793-801, (Editors: Eric P. Xing and Tony Jebara), JMLR, ICML, 2014 (inproceedings)
Gomez Rodriguez, M., Leskovec, J., Balduzzi, D., Schölkopf, B.
Uncovering the Structure and Temporal Dynamics of Information Propagation
Network Science, 2(1):26-65, 2014 (article)
Farajtabar, M., Du, N., Gomez Rodriguez, M., Valera, I., Zha, H., Song, L.
Shaping Social Activity by Incentivizing Users
In Advances in Neural Information Processing Systems 27, (Editors: Ghahramani, Z., Welling, M., Cortes, C., Lawrence, ND., and Weinberger, KQ.), Curran Associates, Inc., 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)
Gomez Rodriguez, M., Song, L., Schölkopf, B.
Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem
Proceedings of the 27th Conference on Learning Theory, 35, pages: 1276-1279, (Editors: Balcan, M.-F. and Szepesvári, C.), JMLR.org, COLT, 2014 (conference)
Gomez Rodriguez, M., Leskovec, J., Schölkopf, B.
Structure and Dynamics of Information Pathways in On-line Media
In 6th ACM International Conference on Web Search and Data Mining (WSDM), pages: 23-32, (Editors: S Leonardi, A Panconesi, P Ferragina, and A Gionis), ACM, WSDM, 2013 (inproceedings)
Gomez Rodriguez, M., Leskovec, J., Schölkopf, B.
Modeling Information Propagation with Survival Theory
In Proceedings of the 30th International Conference on Machine Learning, JMLR W&CP 28 (3), pages: 666-674, (Editors: S Dasgupta and D McAllester), JMLR, ICML, 2013 (inproceedings)
Du, N., Song, L., Gomez Rodriguez, M., Zha, H.
Scalable Influence Estimation in Continuous-Time Diffusion Networks
In Advances in Neural Information Processing Systems 26, pages: 3147-3155, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)
Gomez Rodriguez, M., Schölkopf, B.
Influence Maximization in Continuous Time Diffusion Networks
In Proceedings of the 29th International Conference on Machine Learning, pages: 313-320, (Editors: J, Langford and J, Pineau), Omnipress, New York, NY, USA, ICML, July 2012 (inproceedings)
Gomez Rodriguez, M., Schölkopf, B.
Submodular Inference of Diffusion Networks from Multiple Trees
In Proceedings of the 29th International Conference on Machine Learning , pages: 489-496, (Editors: J Langford, and J Pineau), Omnipress, New York, NY, USA, ICML, July 2012 (inproceedings)
Gomez Rodriguez, M., Leskovec, J., Krause, A.
Inferring Networks of Diffusion and Influence
ACM Transactions on Knowledge Discovery from Data, 5(4:21), February 2012 (article)
Gomez Rodriguez, M.
Structure and Dynamics of Diffusion Networks
Department of Electrical Engineering, Stanford University, 2012 (phdthesis)
Gomez Rodriguez, M., Rogati, M.
Bridging Offline and Online Social Graph Dynamics
In 21st ACM Conference on Information and Knowledge Management, pages: 2447-2450, (Editors: Chen, X., Lebanon, G., Wang, H. and Zaki, M. J.), ACM, CIKM, 2012 (inproceedings)
Gomez Rodriguez, M., Grosse-Wentrup, M., Hill, J., Gharabaghi, A., Schölkopf, B., Peters, J.
Towards Brain-Robot Interfaces in Stroke Rehabilitation
In pages: 6, IEEE, Piscataway, NJ, USA, 12th International Conference on Rehabilitation Robotics (ICORR), July 2011 (inproceedings)
Gomez Rodriguez, M., Balduzzi, D., Schölkopf, B.
Uncovering the Temporal Dynamics of Diffusion Networks
In Proceedings of the 28th International Conference on Machine Learning, pages: 561-568, (Editors: L. Getoor and T. Scheffer), Omnipress, Madison, WI, USA, ICML, July 2011 (inproceedings)
Gomez Rodriguez, M., Peters, J., Hill, J., Schölkopf, B., Gharabaghi, A., Grosse-Wentrup, M.
Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery
Journal of Neural Engineering, 8(3):1-12, June 2011 (article)
Gomez Rodriguez, M., Peters, J., Hill, J., Gharabaghi, A., Schölkopf, B., Grosse-Wentrup, M.
Combining Real-Time Brain-Computer Interfacing and Robot Control for Stroke Rehabilitation
In Proceedings of SIMPAR 2010 Workshops, pages: 59-63, Brain-Computer Interface Workshop at SIMPAR: 2nd International Conference on Simulation, Modeling, and Programming for Autonomous Robots, November 2010 (inproceedings)
Gomez Rodriguez, M., Peters, J., Hill, J., Schölkopf, B., Gharabaghi, A., Grosse-Wentrup, M.
Closing the sensorimotor loop: Haptic feedback facilitates decoding of arm movement imagery
In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC 2010), pages: 121-126, IEEE, Piscataway, NJ, USA, IEEE International Conference on Systems, Man and Cybernetics (SMC), October 2010 (inproceedings)
Gomez Rodriguez, M., Grosse-Wentrup, M., Peters, J., Naros, G., Hill, J., Schölkopf, B., Gharabaghi, A.
Epidural ECoG Online Decoding of Arm Movement Intention in Hemiparesis
In Proceedings of the 1st ICPR Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging (ICPR WBD 2010), pages: 36-39, (Editors: J. Richiardi and D Van De Ville and C Davatzikos and J Mourao-Miranda), IEEE, Piscataway, NJ, USA, 1st Workshop on Brain Decoding (WBD), August 2010 (inproceedings)
Gomez Rodriguez, M., Leskovec, J., Krause, A.
Inferring Networks of Diffusion and Influence
In Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2010), pages: 1019-1028, (Editors: Rao, B. , B. Krishnapuram, A. Tomkins, Q. Yang), ACM Press, New York, NY, USA, 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), July 2010 (inproceedings)
Gomez Rodriguez, M., Grosse-Wentrup, M., Hill, J., Peters, J., Schölkopf, B., Gharabaghi, A.
BCI and robotics framework for stroke rehabilitation
4th International BCI Meeting, June 2010 (talk)
Gomez Rodriguez, M., Kober, J., Schölkopf, B.
Denoising photographs using dark frames optimized by quadratic programming
In Proceedings of the First IEEE International Conference on Computational Photography (ICCP 2009), pages: 1-9, IEEE, Piscataway, NJ, USA, First IEEE International Conference on Computational Photography (ICCP), April 2009 (inproceedings)