Contact Address

Research Interests

My research focuses on Machine Learning and its applications in different areas like:

• Brain signal analysis.
• Computational social science.
• SmartGrid.

Publications

Gómez V., Chertkov M., Backhaus S., Kappen H. J. (2012) [pdf] [cs.IT:1209.5656]
Learning Price-Elasticity of Smart Consumers in Power Distribution Systems.
SmartGridComm 2012 (invited paper in Symposium on Architectures and Models for the Smart Grid)

M. Gheshlaghi Azar, Gómez V., Kappen H. J. (2012) [pdf] [JMLR] [cs:1004.2027] [code] [bibtex]
Dynamic Policy Programming.
Journal of Machine Learning Research 13(Nov):3207-3245 (2012)

Llera A., Gómez V., Kappen H. J. (2012) [pdf] [NECO] [bibtex]
Adaptive classification on Brain Computer Interfaces using reinforcement signals.
Neural Computation 24(11):2900-2923 (2012).

Gómez V., Kappen H. J., Litvak N., Kaltenbrunner A. (2012) [pdf] [WWW] [DATASETS] [cs.SI.1203.0652] [bibtex]
A likelihood-based framework for the analysis of discussion threads.
World Wide Web (special issue on Social Networks and Social Web Mining)

Kappen H. J., Gómez V., Opper M. (2012) [pdf] [MLJ] [math.OC.0901.0633] [bibtex]
Optimal control as a graphical model inference problem.
Machine Learning Journal 87(2):159-182 (2012)

Llera A., van Gerven M., Gómez V., Jensen O., Kappen H. J. (2011) [pdf] [Neural Networks] [bibtex]
On the use of Interaction Error Potentials for Adaptive Brain Computer Interfaces.
Neural Networks 24(10):120-1127 (2011)

Gómez V., Kappen H. J., Kaltenbrunner A. (2011) [pdf] [HT'11] [DATASETS] [cs.SI:1011.0673] [bibtex]
Modeling the structure and evolution of discussion cascades.
Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia, (HT 2011) Eindhoven, Netherlands

M. Gheshlaghi Azar, Gómez V., Kappen H. J. (2011) [pdf] [supplementary] [JMLR] [bibtex]
Dynamic Policy Programming with Function Approximation.
Proceedings of the 14th International Conference on Artificial Intelligence and Statistics (AISTATS 2011), Fort Lauderdale, USA

Gómez V., Kappen H. J., Chertkov M. (2010) [pdf] [JMLR] [cs.AI:0901.0786] [bibtex] [pdf] [UAI'09] [poster] [code] [bibtex]
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.

Llera A., Gómez V., Kappen H. J. (2009) [pdf] [IEEE] [bibtex]
Sparse matrix factorization for Brain Computer Interfaces,
Workshop on Affective Brain-Computer Interfaces (ABCI 2009)
International Conference on Affective Computing & Intelligent Interaction. IEEE Computer Society.

Gómez V., Kaltenbrunner A., López V., Kappen H. J. (2008) [pdf] [nlin.AO:0808.3129] [poster] [bibtex]
Self-organization using synaptic plasticity,
Advances in Neural Information Processing Systems 21 (NIPS 2008)

Gómez V., Kaltenbrunner A., López V. (2008) [pdf] [slides] [www2008] [bibtex]
Statistical analysis of the social network and discussion threads in Slashdot,
Proceedings of the 17th International World Wide Web Conference (WWW 2008), Beijing, China.

Kaltenbrunner A., Gómez V., López V. (2007) [pdf] [IEEE] [bibtex]
Description and Prediction of Slashdot Activity,
Proceedings of the 5th Latin American Web Congress (LA-WEB 2007), Santiago de Chile. IEEE Computer Society.

Gómez V., Mooij J. M., Kappen H. J. (2007) [pdf] [JMLR] [cs.AI:0612109] [code] [bibtex]
Truncating the loop series expansion for Belief Propagation,
Journal of Machine Learning Research 8(Sep):1987-2016 (2007)

Kaltenbrunner A., Gómez V., López V. (2007) [pdf] [NECO] [bibtex]
Phase transition and hysteresis in an ensemble of stochastic spiking neurons,
Neural Computation 19(11):3011-3050 (2007).

Kaltenbrunner A., Gómez V., Moghnieh A., Meza R., Blat J., López V. (2007) [cs.NI:0708.1579 (extended)] [pdf] [bibtex]
Homogeneous temporal activity patterns in a large online communication space,
Workshop on Social Aspects of the Web (SAW 2007) 10th International Conference on Business Information Systems.

Gómez V., Kaltenbrunner A., López V. (2006) [pdf] [slides] [IEEE] [bibtex]
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.

Teaching

Inleiding Machine Learning (bachelor course)

Machine Learning (master course)

Phd Thesis

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

Datasets [UPDATED 14 May 2012]

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

Software [last modified: 8 Feb 2011]

• 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.