Manuel Gomez Rodriguez
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Manuel Gomez Rodriguez, Ph.D. ( |
Latest News
Our paper "Estimating spatiotemporally varying malaria reproduction numbers in a near elimination setting" (with with I. Routledge, J. E. Romero Chevez, Z. Cucunuba, C. Guinovart, K. Schneider, P. Walker, K. Gustafson, A. Ghani and S. Bhatt) has been published at Nature Communications! In this paper, we use Multitree, one of my first network inference algorithms, in an epidemiological application! (26.06.18)
- Preprints on Deep Reinforcement Learning of Marked Temporal Point Processes (with U. Upadhyay and A. De), "Teaching Multiple Concepts to Forgetful Learners" (with A. Hunziker, Y. Chen, O. M. Aodha, A. Krause, P. Perona, Y. Yue and A. Singla), "Designing Random Graph Models Using Variational Autoencoders with Applications to Chemical Design" (with B. Samanta, A. De and N. Ganguly), and "Enhancing the Accuracy and Fairness of Human Decision Making" (with I. Valera and A. Singla)! (29.05.18)
Together with Isabel Valera, I will teach a tutorial on Learning with Temporal Point Processes at ICML 2018! (30.03.18)
Preprint on "On the Complexity of Opinions and Online Discussions" (with U. Upadhyay, A. De and A. Pappu)! (21.02.18)
Our paper "Steering Social Activity: A Stochastic Optimal Control Point of View" (with A. Zarezade, A. De, U. Upadhyay and H. Rabiee) has been accepted at the Journal of Machine Learning Research (JMLR)! (20.02.18)
Our paper "Fake News Detection in Social Networks via Crowd Signals" (with S. Tschiatschek, A. Singla. A. Merchant and A. Krause) has been accepted at the Alternate Track on Journalism, Misinformation, and Fact-checking of The Web Conference 2018 (aka WWW 2018)! (15.02.18)
Our paper "On the Causal Effect of Badges" (with T. Kusmierczyk) has been accepted at The Web Conference 2018 (aka WWW 2018)! (22.12.17)
Preprint on "Optimizing Human Learning" (with B. Tabibian, U. Upadhyay, A. De, A. Zarezade and Bernhard Schoelkopf)! (06.12.17)
Check out the paper, code and supporting website for our WSDM 2018 paper "Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation" (with J. Kim, B. Tabibian, A. Oh and B. Schoelkopf)! (26.11.17)
I am always looking for interns, phd students and postdocs interested to work on networks and machine learning! Drop me an e-mail for informal inquiries or look for me at WWW 2018!
Contact
mail: manuelgr[at]mpi-sws.org
voice: +49 (631) 9303-8301
office (mpi): MPI-SWS, Paul-Ehrlich-Strasse, Building G26, D-67663 Kaiserslautern,
Germany