## Contact Address

Department of Information and Communication Technologies

c/ Tanger, 122-140, 55.219

08018 Barcelona, Spain

e-mail: my prefix is vicen.gomez and the server is at upf.edu.

## Short Bio

Vicenç Gómez is a post-doctoral researcher in the Artificial Intelligence group at the Universitat Pompeu Fabra (UPFellows grant).

He obtained the B. Sc. degree in Computer Science Engineering at the Facultat d'Informàtica de
Barcelona of the Universitat Politècnica de
Catalunya in 2003 and 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.
See the [research statement]

## Research Interests

Machine learning, approximate inference and optimal control.

Application areas: robotics, brain computer interfaces, social networks and smart grid.

Complex networks analysis and control.

## Pre-prints

- M. Molkaraie, V. Gómez (2015)

Efficient Monte Carlo Methods for the Potts Model at Low Temperature

pdf stat.CO:1506.07044

## Publications

- A. Jonsson, V. Gómez (2016)

Hierarchical Linearly-Solvable Markov Decision Problems

26th International Conference on Automated Planning and Scheduling (ICAPS)

pdf bibtex Web - V. Gómez, S. Thijssen, A. C. Symington, S. Hailes, H. J. Kappen (2016)

Real-Time Stochastic Optimal Control for Multi-agent Quadrotor Systems

26th International Conference on Automated Planning and Scheduling (ICAPS)

pdf web cs:1502.04548 - P. Aragón, V. Gómez, A. Kaltenbrunner (2016)

Visualization Tool for Collective Awareness in a Platform of Citizen Proposals

International AAAI Conference on Web and Social Media (ICWSM)

pdf web - G. Santatmaría, V. Gómez (2015)

Convex inference for community discovery in signed networks

NIPS 2015 Workshop: Networks in the Social and Information Sciences

pdf bibtex Web - A. Porco, A. Kaltenbrunner, V. Gómez (2015)

Low-rank approximations for predicting voting behaviour

NIPS 2015 Workshop: Networks in the Social and Information Sciences

pdf bibtex Web - V. Gómez, H. J. Kappen, J. Peters, G. Neumann (2014)

Policy Search for Path Integral Control

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD)

[abstract]

pdf bibtex - A. Llera, V. Gómez, H. J. Kappen (2014)

Quantitative analysis of task selection for Brain-Computer Interfaces

Journal of Neural Engineering**11**(5):056002

pdf bibtex JNE - T. Matsubara, V. Gómez, H. J. Kappen (2014)

Latent Kullback Leibler Control for Continuous-State Systems Using Probabilistic Graphical Models

Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI 2014), Quebec, Canada

pdf bibtex cs.SY:1406.0993 - A. Llera, V. Gómez, H. J. Kappen (2014)

Adaptive Multiclass Classification for Brain Computer Interfaces

Neural Computation**26**(6):1108-27 (2014)

pdf bibtex NECO - H. J. Kappen, V. Gómez (2013)

The Variational Garrote

Machine Learning Journal**96**(3):269-294 (2014)

pdf bibtex MLJ code - V. Gómez, H. J. Kappen, N. Litvak, A. Kaltenbrunner (2013)

A likelihood-based framework for the analysis of discussion threads

World Wide Web**16**(5-6):645-675 (2013)

pdf bibtex WWW cs.SI.1203.0652 datasets - V. Gómez, M. Chertkov, S. Backhaus, H. J. Kappen (2012)

Learning Price-Elasticity of Smart Consumers in Power Distribution Systems

2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm)

Workshop on Architectures and Models for the Smart Grid (AMSG)

pdf bibtex cs.IT:1209.5656 SmartGridComm IEEE - M. Gheshlaghi Azar, V. Gómez, H. J. Kappen (2012)

Dynamic Policy Programming

Journal of Machine Learning Research**13**(Nov):3207-3245 (2012)

pdf bibtex JMLR cs:1004.2027 code - A. Llera, V. Gómez, H. J. Kappen (2012)

Adaptive classification on Brain Computer Interfaces using reinforcement signals

Neural Computation**24**(11):2900-2923 (2012)

pdf bibtex NECO - H. J. Kappen, V. Gómez, Opper M. (2012)

Optimal control as a graphical model inference problem

Machine Learning Journal**87**(2):159-182 (2012)

pdf bibtex MLJ math.OC.0901.0633 - A. Llera, M. van Gerven, V. Gómez, O. Jensen, H. J. Kappen (2011)

On the use of Interaction Error Potentials for Adaptive Brain Computer Interfaces

Neural Networks**24**(10):120-1127 (2011)

pdf bibtex Neural Networks - V. Gómez, H. J. Kappen, A. Kaltenbrunner (2011)

Modeling the structure and evolution of discussion cascades

Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia (HT 2011) Eindhoven, Netherlands

pdf bibtex HT'11 cs.SI:1011.0673 datasets - M. Gheshlaghi Azar, V. Gómez, H. J. Kappen (2011)

Dynamic Policy Programming with Function Approximation

Proceedings of the 14th International Conference on Artificial Intelligence and Statistics (AISTATS 2011), Fort Lauderdale, USA

pdf bibtex supplementary JMLR - V. Gómez, H. J. Kappen, M. Chertkov (2010)

Approximate inference on planar graphs using Loop Calculus and Belief Propagation

Journal of Machine Learning Research**11**(Apr):1273-1296 (2010)

Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009), Montreal, Canada

pdf bibtex JMLR cs.AI:0901.0786 pdf bibtex UAI'09 poster code - A. Llera, V. Gómez, H. J. Kappen (2009)

Sparse matrix factorization for Brain Computer Interfaces

International Conference on Affective Computing & Intelligent Interaction, IEEE Computer Society

Workshop on Affective Brain-Computer Interfaces (ABCI 2009)

pdf bibtex IEEE - V. Gómez, A. Kaltenbrunner, V. López, H. J. Kappen (2008)

Self-organization using synaptic plasticity

Advances in Neural Information Processing Systems 21 (NIPS 2008)

pdf bibtex NIPS'08 nlin.AO:0808.3129 poster - V. Gómez, A. Kaltenbrunner, V. López (2008)

Statistical analysis of the social network and discussion threads in Slashdot

Proceedings of the 17th International World Wide Web Conference (WWW 2008), Beijing, China

pdf bibtex slides WWW'08 - A. Kaltenbrunner, V. Gómez, V. López (2007)

Description and Prediction of Slashdot Activity

Proceedings of the 5th Latin American Web Congress (LA-WEB 2007), Santiago de Chile. IEEE Computer Society

pdf bibtex IEEE - V. Gómez, J. M. Mooij, H. J. Kappen (2007)

Truncating the loop series expansion for Belief Propagation

Journal of Machine Learning Research**8**(Sep):1987-2016 (2007)

pdf bibtex JMLR cs.AI:0612109 code - A. Kaltenbrunner, V. Gómez, V. López (2007)

Phase transition and hysteresis in an ensemble of stochastic spiking neurons

Neural Computation**19**(11):3011-3050 (2007)

pdf bibtex NECO - A. Kaltenbrunner, V. Gómez, A. Moghnieh, R. Meza, J. Blat, V. López (2007)

Homogeneous temporal activity patterns in a large online communication space

10th International Conference on Business Information Systems

Workshop on Social Aspects of the Web (SAW 2007)

pdf bibtex cs.NI:0708.1579 (extended) - V. Gómez, A. Kaltenbrunner, V. López (2006)

Event Modeling of Message Interchange in Stochastic Neural Ensembles

International Joint Conference Neural Networks (IJCNN 2006), IEEE World Congress of Computational Intelligence, Vancouver, BC, Canada

pdf slides bibtex IEEE

## Teaching

## Phd Thesis

*Algorithms and Complex Phenomena in Networks: Neural Ensembles, Statistical Inference and Online Communities*[pdf] [pdf-print]

## Datasets [last modified: 14 May 2012]

- The datasets containing discussion threads from Slashdot, Barrapunto, Meneame and Wikipedia are available under e-mail request.

## Software [last modified: 27 Aug 2014]

- The MatLab source code for Sparse Linear Regression using the the Variational Garrote (Spike and Slab model)
- The source code for the loop corrections to Belief Propagation in planar graphs can be found here.
- The source code of the Truncated Loop Series algorithm (TLSBP) can be found here.

Currently, the code is being integrated with libDAI, a more general library which provides implementations of various approximate inference.

You must have libDAI installed to use TLSBP. - The Promedas networks used in the TLSBP article can be found here.