## Contact Address

Universitat Pompeu Fabra

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 and Machine Learning group at the Universitat Pompeu Fabra
(Ramón y Cajal fellowship).

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 and their 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

- G. Neu, V. Gómez, A. Jonsson (2017)

A unified view of entropy-regularized Markov decision processes

Deep Reinforcement Learning Symposium, NIPS 2017

pdf - M. Molkaraie, V. Gómez (2015)

Efficient Monte Carlo Methods for the Potts Model at Low Temperature

pdf stat.CO:1506.07044

## Conference Publications

- G. Neu, V. Gómez (2017)

Fast rates for online learning in Linearly Solvable Markov Decision Processes

Conference on Learning Theory (COLT)

pdf cs.LG:1702.06341 bibtex web - H. Gallego, D. Laniado, A. Kaltenbrunner, V Gómez, P. Aragón (2017)

Lost in Re-Election: A Tale of Two Spanish Online Campaigns

International Conference on Social Informatics (SocInfo)

pdf bibtex web - P. Aragón, A. Kaltenbrunner, A. Calleja-López, A. Pereira, A. Monterde, X.-E. Barandiaran, V Gómez (2017)

Deliberative Platform Design: The Case Study of the Online Discussions in Decidim Barcelona

International Conference on Social Informatics (SocInfo)

pdf bibtex web - P. Aragón, V. Gómez, A. Kaltenbrunner (2017)

To Thread or Not to Thread: The Impact of Conversation Threading on Online Discussion

International AAAI Conference on Web and Social Media (ICWSM)

pdf bibtex ICWSM-17 - A. Jonsson, V. Gómez (2016)

Hierarchical Linearly-Solvable Markov Decision Problems

International Conference on Automated Planning and Scheduling (ICAPS)

pdf slides bibtex web cs.AI:1603.03267 - V. Gómez, S. Thijssen, A. C. Symington, S. Hailes, H. J. Kappen (2016)

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

International Conference on Automated Planning and Scheduling (ICAPS)

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

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

Uncertainty in Artificial Intelligence (UAI), Quebec, Canada

pdf bibtex cs.SY:1406.0993 - V. Gómez, H. J. Kappen, A. Kaltenbrunner (2011)

Modeling the structure and evolution of discussion cascades

ACM Conference on Hypertext and Hypermedia (HT) 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

International Conference on Artificial Intelligence and Statistics (AISTATS), Fort Lauderdale, USA

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

Self-organization using synaptic plasticity

Advances in Neural Information Processing Systems (NIPS)

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

International World Wide Web Conference (WWW), Beijing, China

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

Description and Prediction of Slashdot Activity

Latin American Web Congress (LA-WEB 2007), Santiago de Chile. IEEE Computer Society

pdf bibtex IEEE - V. Gómez, A. Kaltenbrunner, V. López (2006)

Event Modeling of Message Interchange in Stochastic Neural Ensembles

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

pdf slides bibtex IEEE

## Journal Publications

- P. Aragón, V. Gómez, D. García, A. Kaltenbrunner

Generative models of online discussion threads: state of the art and research challenges

Journal of Internet Services and Applications**8**(1):15 (2017)

pdf bibtex JISA - P. Aragón, V. Gómez, A. Kaltenbrunner

Detecting Platform Effects in Online Discussions

Policy & Internet**doi:10.1002/poi3.158**(2017)

pdf bibtex P&I - D. Thalmeier, V. Gómez, H. J. Kappen

Action selection in growing state spaces: Control of Network Structure Growth

Journal of Physics A: Mathematical and Theoretical**50**(3) 034006 (2017)

pdf bibtex cs.SI:1606.07777 JPhysA - A. Llera, V. Gómez, H. J. Kappen

Quantitative analysis of task selection for Brain-Computer Interfaces

Journal of Neural Engineering**11**(5):056002 (2014)

pdf bibtex JNE - A. Llera, V. Gómez, H. J. Kappen

Adaptive Multiclass Classification for Brain Computer Interfaces

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

pdf bibtex NECO - H. J. Kappen, V. Gómez

The Variational Garrote

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

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

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 - M. Gheshlaghi Azar, V. Gómez, H. J. Kappen

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

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.

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

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, M. Chertkov

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 - V. Gómez, J. M. Mooij, H. J. Kappen

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

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

Homogeneous temporal activity patterns in a large online communication space

International Journal on WWW/Internet**6**(1):61-76 (2008)

pdf bibtex cs.NI:0708.1579 (extended)

## Other refereed Publications

- D. Thalmeier, V. Gómez, H. J. Kappen (2016)

Optimal Control of Network Structure Growth

NIPS 2016 Workshop: Advances in Approximate Bayesian Inference

pdf bibtex Web - V. Gómez, M. Gheshlaghi Azar, H. J. Kappen (2016)

Correcting Multivariate Auto-Regressive Models for the Influence of Unobserved Common Input

19th International Conference of the Catalan Association for Artificial Intelligence (CCIA)

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

Clustered Common Spatial Patterns

Tools for Brain-Computer Interaction (TOBI) Workshop

pdf bibtex - 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 - 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

## 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.