Manuel Gomez Rodriguez
 |
Manuel Gomez Rodriguez, Ph.D. ( |
Latest News
Preprints on Regression Under Human Assistance (with A. De, P. Koley and N. Ganguly) and Can A User Guess What Her Followers Want? (with A. De, U. Upadhyay and A. Singla)! (09.09.19)
Consider submitting to the NeurIPS workshops on temporal point processes and human-centric ML I am co-organizing! Deadline is Sept 15! (04.09.19)
Our paper "Teaching Multiple Concepts to Forgetful Learners" (with A. Hunziker, Y. Chen, O. M. Aodha, A. Krause, P. Perona, Y. Yue and A. Singla) has been accepted at NeurIPS 2019! (03.09.19)
Preprints on Optimal Decision Making Under Strategic Behavior (with M. Khajehnejad, B. Tabibian, B. Schoelkopf and A. Singla), Consequential Ranking Algorithms and Long-term Welfare (with B. Tabibian, V. Gomez, A. De and B. Schoelkopf), Non-submodular Function Maximization subject to a Matroid Constraint, with Applications (with K. Gatmiry) and Tracking progress towards malaria elimination in China: estimates of reproduction numbers and their spatiotemporal variation (with I. Routledge, S. Lai, K. E. Battle, A. C. Ghani, K. B. Gustafson, S. Mishra, J. L. Proctor, A. J. Tatem, Z. Li and S. Bhatt)! (23.05.19)
Preprint on Improving Consequential Decision Making under Imperfect Predictions (with K. Kilbertus, B. Schoelkopf, K. Muandet and I. Valera)! (11.02.19)
Our paper "Enhancing human learning via spaced repetition optimization" (with B. Tabibian, U. Upadhyay, A. De, A. Zarezade and B. Schoelkopf) has been published at PNAS! You can find the code and data we used in the paper here! (22.01.19)
We have created these lecture notes (in progress) on marked temporal point processes as part of a course on Human-Centered Machine Learning! (11.01.19)
Preprint on "On the Network Visibility Problem" (with K. Gatmiry)! (20.11.18)
Our paper "Stochastic Optimal Control of Epidemic Processes in Networks" (with L. Lorch, A. De, S. Bhatt, W. Trouleau and U. Upadhyay) has been accepted at the ML4H NIPS 2018 Workshop! (15.11.18)
Our paper "Designing Deep Generative Models for Molecular Graphs" (with B. Samanta, A. De, G. Jana, P. K. Chattaraj and N. Ganguly) has been accepted at AAAI 2019! (31.10.18)
Our paper "On the Complexity of Opinions and Online Discussions" (with U. Upadhyay, A. De and A. Pappu) has been accepted at WSDM 2019! (22.10.18)
Our paper "Fairness Constraints: A Flexible Approach for Fair Classification" (with B. Zafar, I. Valera and K. Gummadi) has been accepted at the Journal of Machine Learning Research (JMLR)! (06.09.18)
- Our papers "Enhancing the Accuracy and Fairness of Human Decision Making" (with I. Valera and A. Singla) and "Deep Reinforcement Learning of Marked Temporal Point Processes" (with U. Upadhyay and A. De) have been accepted at NIPS 2018! (05.09.18)
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 "Teaching Multiple Concepts to Forgetful Learners" (with A. Hunziker, Y. Chen, O. M. Aodha, A. Krause, P. Perona, Y. Yue and A. Singla) and "Designing Random Graph Models Using Variational Autoencoders with Applications to Chemical Design" (with B. Samanta, A. De and N. Ganguly) (29.05.18)
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)
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!
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