Manuel Gomez Rodriguez
Manuel Gomez Rodriguez
Tenure-track Faculty, Max Planck Institute for Software Systems (MPI-SWS)
Bestätigte E-Mail-Adresse bei mpi-sws.org - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Inferring networks of diffusion and influence
M Gomez Rodriguez, J Leskovec, A Krause
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
12412010
Uncovering the temporal dynamics of diffusion networks
M Gomez-Rodriguez, D Balduzzi, B Schölkopf
Twenty-eighth International Conference on Machine Learning, Bellevue, Washington, 2011
559*2011
Fairness Constraints: Mechanisms for Fair Classification
MB Zafar, I Valera, MG Rodriguez, KP Gummadi
The 20th International Conference on Artificial Intelligence and Statistics …, 2017
4692017
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
4672017
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
2962016
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
2782013
Scalable Influence Estimation in Continuous-Time Diffusion Networks
N Du, L Song, M Gomez Rodriguez, H Zha
Neural Information Processing Systems (NIPS), 2013
2622013
Influence Maximization in Continuous Time Diffusion Networks
M Gomez Rodriguez, B Schölkopf
Twenty-ninth International Conference on Machine Learning, Edinburgh, UK, 2012
228*2012
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
1822011
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
The Journal of Machine Learning Research 18 (1), 1305-1353, 2017
1702017
Modeling Information Propagation with Survival Theory
M Gomez Rodriguez, J Leskovec, B Schölkopf
30th International Conference on Machine Learning (ICML) 2013, Atlanta (GA), 2013
1562013
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
153*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
1342014
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
126*2014
Uncovering the structure and temporal dynamics of information propagation
MG Rodriguez, J Leskovec, D Balduzzi, B Schölkopf
Network Science 2 (1), 26-65, 2014
1142014
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
1122018
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
1082017
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
1032018
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades
M Farajtabar, M Gomez-Rodriguez, N Du, M Zamani, H Zha, L Song
The 18th International Conference on Artificial Intelligence and Statistics …, 2015
772015
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
75*2019
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