Manuel Gomez Rodriguez
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Manuel Gomez Rodriguez, Ph.D. ( |
Latest News
Our paper "Classification Under Human Assistance" (with A. De, N. Okati and A. Zarezade) has been accepted at AAAI 2021! (02.12.21)
We have released a new preprint "Large-scale randomized experiment reveals machine learning helps people learn and remember more effectively" (with U. Upadhyay, G. Lancashire and C. Moser)! (12.10.20)
Our paper "Decisions, Counterfactual Explanations and Strategic Behavior" (with S. Tsirtsis) has been accepted at NeurIPS 2020! (26.09.20)
I have received an ERC Starting Grant on Human-Centric Machine Learning and I am looking for interns, phd students and postdocs! Drop me an e-mail for informal inquiries! (08.09.20)
Our paper "On the design of consequential ranking algorithms" (with B. Tabibian, V. Gomez, A. De and B. Schoelkopf), has been accepted at UAI 2020! (15.05.20)
I am happy to share a talk/lecture on our COVID-19 work on a spatiotemporal epidemic model to quantify the effects of testing, contact tracing and containment here. Consider also join us at https://github.com/covid19-model/simulator! (12.05.20)
Our paper "NEVAE: A Deep Generative Model for Molecular Graphs" (with B. Samanta, A. De, G. Jana, V. Gomez, P. K. Chattaraj and N. Ganguly) has been accepted for publications at the Journal of Machine Learning Research! (22.04.20)
We have released "A Spatiotemporal Epidemic Model to Quantify the Effects of Contact Tracing, Testing, and Containment" (with L. Lorch, W. Trouleau, S. Tsirtsis, A. Szanto and B. Schoelkopf) in Arxiv today, which may be useful to inform policy decisions in the context of the Covid-19 outbreak. We have also released easy-to-use code for the model here! (17.04.20)
Our paper Tracking progress towards malaria elimination in China: individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach (with I. Routledge, S. Lai, K. E. Battle, A. C. Ghani, K. B. Gustafson, S. Mishra, J. L. Proctor, A. J. Tatem, Z. Li, S. Bhatt) has been published at PLOS Computational Biology! (24.03.20)
Preprints on "Decisions, Counterfactual Explanations and Strategic Behavior" (with S. Tsirtsis) and "Learning to Switch between Machines and Humans" (with V. Balazadeh, A. De and A. Singla)! (12.2.20)
I have created a long lecture on "Human-Centric Machine Learning: Feedback loops, Human-AI collaboration and strategic behavior". It summarizes some of my recent work and exposes tons of opportunities for future work! (27.1.20)
Our paper "Fair Decisions Despite Imperfect Predictions" (with N. Kilbertus, B. Schoelkopf, K. Muandet and I. Valera) has been accepted at AISTATS 2020! (7.1.20)
Our paper "Regression Under Human Assistance" (with A. De, P. Koley and N. Ganguly) has been accepted at AAAI 2020! (11.11.19)
Our paper "Can a User Guess What Her Followers Want?" (with A. De, A. Singla and U. Upadhyay) has been accepted at WSDM 2020! (10.10.19)
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)
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