Seuraa
Manuel Gomez Rodriguez
Manuel Gomez Rodriguez
Faculty, Max Planck Institute for Software Systems (MPI-SWS)
Vahvistettu sähköpostiosoite verkkotunnuksessa mpi-sws.org - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Inferring networks of diffusion and influence
M Gomez Rodriguez, J Leskovec, A Krause
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
16212010
Fairness Constraints: Mechanisms for Fair Classification
MB Zafar, I Valera, MG Rodriguez, KP Gummadi
The 20th International Conference on Artificial Intelligence and Statistics …, 2017
15482017
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
14582017
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
8002016
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
4392019
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
3722013
Scalable Influence Estimation in Continuous-Time Diffusion Networks
N Du, L Song, M Gomez Rodriguez, H Zha
Neural Information Processing Systems (NIPS), 2013
3302013
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
3182018
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
3082017
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
2852018
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
2842017
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
2572011
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
2192019
Modeling Information Propagation with Survival Theory
M Gomez Rodriguez, J Leskovec, B Schölkopf
30th International Conference on Machine Learning (ICML) 2013, Atlanta (GA), 2013
2172013
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
1822014
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
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20