Vicenç Gómez

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Vicenç Gómez is a post-doctoral researcher in the Artificial Intelligence group at the Universitat Pompeu Fabra (UPFellows grant). He obtained his Ph.D. in Computer Science and Digital Communication at the Department of Information and Communication Technologies of the Universitat Pompeu Fabra in 2008. He then joined the machine learning group at the Radboud University, Nijmegen (The Netherlands) with Prof. Dr. H. J. Kappen where he has performed research within several european projects for five years. His research focuses on machine learning and optimal control in applications to different areas such as robotics, complex networks and brain computer interfaces.


D. Thalmeier, Gómez, V., and Kappen, H. J., Action selection in growing state spaces: control of network structure growth, Journal of Physics A: Mathematical and Theoretical, vol. 50, p. 034006, 2017.
V. Gómez, Azar, M. Gheshlaghi, and Kappen, H. J., Correcting Multivariate Auto-Regressive Models for the Influence of Unobserved Common Input, in Artificial Intelligence Research and Development - Proceedings of the 19th International Conference of the Catalan Association for Artificial Intelligence, Barcelona, Catalonia, Spain, October 19-21, 2016, 2016, pp. 177–186.
V. Gómez, Thijssen, S., Symington, A., Hailes, S., and Kappen, H. J., Real-Time Stochastic Optimal Control for Multi-agent Quadrotor Systems, in Proceedings of the 26th International Conference on Automated Planning and Scheduling (ICAPS'16), 2016.
D. Thalmeier, Gómez, V., and Kappen, H. J., Optimal Control of Network Structure Growth, NIPS 2016 Workshop: Advances in Approximate Bayesian Inference, 2016.
A. Porco, Kaltenbrunner, A., and Gómez, V., Low-rank approximations for predicting voting behaviour, NIPS 2015 Workshop: Networks in the Social and Information Sciences, 2015.
G. Santamaría and Gómez, V., Convex inference for community discovery in signed networks, NIPS 2015 Workshop: Networks in the Social and Information Sciences, 2015.
V. Gómez, Kappen, H. J., Peters, J., and Neumann, G., Policy Search for Path Integral Control, in Machine Learning and Knowledge Discovery in Databases - European Conference, {ECML} {PKDD} 2014, Nancy, France, September 15-19, 2014. Proceedings, Part {I}, 2014, pp. 482–497.