Publications

All Publications

2026

1. J F. Germano, V. Gómez, F. Sobbrio (2026)
   Ranking for engagement: How social media algorithms fuel misinformation and polarization
   Journal of Public Economics 255, 105589
   [pdf] [www] [bibtex] [doi]
2. W M. Dalmau-Moreno, N. Garcia, V. Gómez (2026)
   Uncertainty-Aware Planning with Generative World- and Language-Models via Monte Carlo Tree Search
   3rd CoRL Workshop on Learning Effective Abstractions for Planning
   [pdf] [www] [bibtex] [openreview]

2025

1. J E. Fraxanet, A. Kaltenbrunner, F. Germano, V. Gómez (2025)
   Analyzing News Engagement on Facebook: Tracking Ideological Segregation & News Quality
   EPJ Data Science 14, 73
   [pdf] [www] [bibtex] [arxiv] [doi]
2. W C. Núñez-Molina, V. Gómez, H. Geffner (2025)
   From Next Token Prediction to (STRIPS) World Models - Preliminary results
   ICAPS Workshop on Planning in the Era of LLMs (LM4Plan)
   [pdf] [www] [bibtex] [arxiv] [openreview]
3. J A. Kaltenbrunner, J. Ferrer, D. Moreno, V. Gómez (2025)
   A Simple and Explainable Model for Park-and-Ride Car Park Occupancy Prediction
   EPJ Data Science 14, 74
   [pdf] [www] [bibtex] [doi]
4. c E. Fraxanet, V. Gómez, A. Kaltenbrunner, D. Garcia, M. Pellert (2025)
   A Decade of DerStandard Data
   The 11th International Conference for Computational Social Science (IC2S2)
   [pdf] [www] [bibtex] [arxiv]

2024

1. J E. Fraxanet, M. Pellert, S. Schweighofer, V. Gómez, and D. Garcia (2024)
   Unpacking polarization: Antagonism and alignment in signed networks of online interaction
   PNAS Nexus 3(12) (2024)
   [pdf] [www] [bibtex] [arxiv] [doi]
2. C G. Infante, A. Jonsson, V. Gómez (2024)
   Hierarchical Average-Reward Linearly-solvable Markov Decision Processes
   27th European Conference on Artificial Intelligence (ECAI)
   [pdf] [www] [bibtex] [arxiv] [doi]
3. j N. Alvarez-Gonzalez, A. Kaltenbrunner, V. Gómez (2024)
   Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings
   Transactions on Machine Learning Research (2024)
   [pdf] [www] [bibtex] [arxiv] [openreview]
4. C M. Dalmau-Moreno, N. García, V. Gómez, H. Geffner (2024)
   Combined Task and Motion Planning Via Sketch Decompositions
   34th International Conference on Automated Planning and Scheduling (ICAPS)
   [pdf] [www] [bibtex] [arxiv] [doi]
5. C D. Kuric, G. Infante, V. Gómez, A. Jonsson, H. van Hoof (2024)
   Planning with a Learned Policy Basis to Optimally Solve Complex Tasks
   34th International Conference on Automated Planning and Scheduling (ICAPS)
   [pdf] [www] [bibtex] [arxiv] [doi]
6. J R. Garriga, V. Gómez, and G. Lugosi (2024)
   Individualized post-crisis monitoring of psychiatric patients via hidden Markov models
   Frontiers in Digital Health 6 (2024)
   [pdf] [www] [bibtex] [doi]
7. W G. Infante, D. Kuric, V. Gómez, A. Jonsson (2024)
   Using a Learned Policy Basis to Optimally Solve Reward Machines
   Seventeenth European Workshop on Reinforcement Learning (EWRL)
   [pdf] [www] [bibtex] [openreview]
8. J S. Calo, F. Bistaffa, A. Jonsson, V. Gómez, M. Viana (2024)
   Spatial air quality prediction in urban areas via message passing
   Engineering Applications of Artificial Intelligence 133, 108191 (2024)
   [pdf] [www] [bibtex] [doi]
9. j M. Gil Sorribes, G. Leoni, A. Puertas Gallardo, M. Petrillo, S. Consoli, V. Gómez, M. Ceresa (2024)
   ML-based predictive gut microbiome analysis for health assessment
   Procedia Computer Science 239, 1452-1459 (2024)
   [pdf] [www] [bibtex] [doi]

2023

1. J E. Theophilou, D. Hernández-Leo, V. Gómez (2023)
   Gender-based learning and behavioural differences in an educational social media platform
   Journal of Computer Assisted Learning 40(6), 2544-2557 (2023)
   [pdf] [www] [bibtex] [doi]
2. W G. Infante, A. Jonsson, V. Gómez (2023)
   Optimal Hierarchical Average-Reward Linearly-solvable Markov Decision Processes
   Sixteenth European Workshop on Reinforcement Learning (EWRL)
   [pdf] [www] [bibtex] [openreview]

2022

1. C G. Infante, A. Jonsson, V. Gómez (2022)
   Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes
   Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI)
   [pdf] [www] [bibtex] [arxiv] [doi]
2. j F. Germano, V. Gómez, F. Sobbrio (2022)
   Ranking for Engagement: How Social Media Algorithms Fuel Misinformation and Polarization
   CESifo Working Paper No. 10011 (2022)
   [pdf] [www] [bibtex] [doi]
3. c N. Alvarez-Gonzalez, A. Kaltenbrunner, V. Gómez (2022)
   Beyond 1-WL with Local Ego-Network Encodings
   1st Learning on Graphs International Conference (LoG)
   [pdf] [www] [bibtex] [openreview]
4. c F. Germano, V. Gómez, F. Sobbrio (2022)
   Crowding out the truth? A simple model of online misinformation, polarization and meaningful social interactions
   International Conference on Computational Social Science (IC2S2)
   [pdf] [www] [bibtex] [arxiv]

2021

1. C M. Junyent, V. Gómez, A. Jonsson (2021)
   Hierarchical Width-Based Planning and Learning
   31th International Conference on Automated Planning and Scheduling (ICAPS)
   [pdf] [www] [bibtex] [arxiv] [doi]
2. j N. Alvarez-Gonzalez, A. Kaltenbrunner, V. Gómez (2021)
   Emotion-Core: An open source framework for emotion detection research
   Software Impacts, 100179 (2021)
   [pdf] [www] [bibtex] [doi]
3. C N. Alvarez-Gonzalez, A. Kaltenbrunner, V. Gómez (2021)
   Uncovering the Limits of Text-based Emotion Detection
   Empirical Methods in Natural Language Processing (EMNLP)
   [pdf] [www] [bibtex] [arxiv] [doi]
4. W A. Valenzuela, C. Segura, F. Diego, V. Gómez (2021)
   Expression Transfer Using Flow-Based Generative Models
   IEEE/CVF Conference on Computer Vision & Pattern Recognition (CVPR) Workshop
   [pdf] [www] [bibtex] [doi]
5. W N. Alvarez-Gonzalez, A. Kaltenbrunner, V. Gómez (2021)
   Inductive Graph Embeddings through Locality Encodings
   5th International Workshop on Deep Learning on Graphs (DLG-AAAI)
   [pdf] [www] [bibtex] [arxiv]

2020

1. C B. Tabibian, V. Gómez, A. De, B. Schölkopf, M. Gomez Rodriguez (2020)
   On the design of consequential ranking algorithms
   36th International Conference on Uncertainty in Artificial Intelligence (UAI)
   [pdf] [www] [bibtex] [arxiv] [PMLR]
2. C J. Serrà, D. Álvarez, V. Gómez, O. Slizovskaia, J. F. Núñez, J. Luque (2020)
   Input complexity and out-of-distribution detection with likelihood-based generative models
   International Conference on Learning Representations (ICLR)
   [pdf] [www] [bibtex] [arxiv] [openreview]
3. J D. Thalmeier, H. J. Kappen, S. Totaro, V. Gómez (2020)
   Adaptive smoothing path integral control
   Journal of Machine Learning Research 21(191) (2020)
   [pdf] [www] [bibtex] [JMLR]
4. J B. Samanta, A. De, G. Jana, V. Gómez, P. Chattaraj, N. Ganguly, M. Gomez-Rodriguez (2020)
   NEVAE: A Deep Generative Model for Molecular Graphs
   Journal of Machine Learning Research 21(114) (2020)
   [pdf] [www] [bibtex] [JMLR]

2019

1. C F. Germano, V. Gómez, G. Le Mens (2019)
   The few-get-richer: a surprising consequence of popularity-based rankings
   The World Wide Web Conference (WWW '19), 2764-2770
   [pdf] [www] [bibtex] [arxiv] [doi]
2. C M. Junyent, A. Jonsson, V. Gómez (2019)
   Deep Policies for Width-Based Planning in Pixel Domains
   29th International Conference on Automated Planning and Scheduling (ICAPS)
   [pdf] [www] [bibtex] [arxiv] [doi]
3. C N. Lykousas, C. Patsakis, A. Kaltenbrunner, V. Gómez (2019)
   Sharing emotions at scale: The Vent dataset
   13th International AAAI Conference on Weblogs and Social Media (ICWSM)
   [pdf] [www] [bibtex] [doi]

2018

1. W B. Tabibian, V. Gómez, A. De, B. Schölkopf, M. Gomez-Rodriguez (2018)
   Consequential ranking algorithms and long-term welfare
   Workshop on Misinformation, Computational Fact-Checking & Credible Web
   [pdf] [www] [bibtex] [arxiv]
2. C P. Aragón, D. Sáez-Trumper, M. Redi, S. A. Hale, V. Gómez, A. Kaltenbrunner (2018)
   Online Petitioning Through Data Exploration and What We Found There: A Dataset of Petitions from Avaaz.org
   12th International AAAI Conference on Web and Social Media (ICWSM)
   [pdf] [www] [bibtex] [doi]
3. J M. Molkaraie, V. Gómez (2018)
   Monte Carlo Methods for the Ferromagnetic Potts Model Using Factor Graph Duality
   IEEE Transactions on Information Theory 64(12):7749-7464 (2018)
   [pdf] [www] [bibtex] [doi]
4. c N. Lykousas, V. Gómez, C. Patsakis (2018)
   Adult content in Social Live Streaming Services: Characterizing deviant users and relationships
   International Conference on Advances in Social Networks Analysis and Mining
   [pdf] [www] [bibtex] [doi]
5. W M. Junyent, A. Jonsson, V. Gómez (2018)
   Improving width-based planning with compact policies
   ICML / IJCAI / AAMAS 2018 Workshop on Planning and Learning
   [pdf] [www] [bibtex] [arxiv]

2017

1. C G. Neu, V. Gómez (2017)
   Fast rates for online learning in Linearly Solvable Markov Decision Processes
   International Conference on Learning Theory (COLT)
   [pdf] [www] [bibtex] [PMLR]
2. C P. Aragón, V. Gómez, A. Kaltenbrunner (2017)
   To thread or not to thread: The impact of conversation threading on online discussion
   11th International AAAI Conference on Web and Social Media (ICWSM)
   [pdf] [www] [bibtex] [doi]
3. J P. Aragón, V. Gómez, A. Kaltenbrunner (2017)
   Detecting Platform Effects in Online Discussions
   Policy & Internet 9(4):420-443 (2017)
   [pdf] [www] [bibtex] [doi]
4. J D. Thalmeier, V. Gómez, H. J. Kappen (2017)
   Action selection in growing state spaces
   Journal of Physics A: Mathematical and Theoretical 50(3) 034006 (2017)
   [pdf] [www] [bibtex] [arxiv] [doi]
5. J P. Aragón, V. Gómez, D. García, A. Kaltenbrunner (2017)
   Generative models of online discussion threads: state of the art and research challenges
   Journal of Internet Services and Applications 8(15) (2017)
   [pdf] [www] [bibtex] [doi]
6. c 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] [www] [bibtex] [doi]
7. c 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] [www] [bibtex] [doi]
8. W G. Neu, V. Gómez, A. Jonsson (2017)
   A unified view of entropy-regularized Markov decision processes
   NeurIPS Deep Reinforcement Learning Symposium
   [pdf] [www] [bibtex] [arxiv]

2016

1. C A. Jonsson, V. Gómez (2016)
   Hierarchical Linearly-Solvable Markov Decision Problems
   26th International Conference on Automated Planning and Scheduling (ICAPS)
   [pdf] [www] [bibtex] [doi]
2. C 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] [www] [bibtex] [doi]
3. c P. Aragón, V. Gómez, A. Kaltenbrunner (2016)
   Visualization Tool for Collective Awareness in a Platform of Citizen Proposals
   10th International AAAI Conference on Web and Social Media (ICWSM)
   [pdf] [www] [bibtex] [doi]
4. c 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 AI (CCIA)
   [pdf] [www] [bibtex] [doi]
5. W D. Thalmeier, V. Gómez, H. J. Kappen (2016)
   Optimal Control of Network Structure Growth
   NeurIPS Workshop: Advances in Approximate Bayesian Inference
   [pdf] [www] [bibtex] [Zenodo]

2015

1. W G. Santatmaría, V. Gómez (2015)
   Convex inference for community discovery in signed networks
   NeurIPS Workshop: Networks in the Social and Information Sciences
   [pdf] [www] [bibtex] [Zenodo]
2. W A. Porco, A. Kaltenbrunner, V. Gómez (2015)
   Low-rank approximations for predicting voting behaviour
   NeurIPS Workshop: Networks in the Social and Information Sciences
   [pdf] [www] [bibtex] [Zenodo]

2014

1. C T. Matsubara, V. Gómez, H. J. Kappen (2014)
   Latent Kullback Leibler Control for Continuous-State Systems using Probabilistic Graphical Models
   30th International Conference on Uncertainty in Artificial Intelligence (UAI)
   [pdf] [www] [bibtex] [doi]
2. C V. Gómez, H. J. Kappen, J. Peters, G. Neumann (2014)
   Policy Search for Path Integral Control
   European Conference on Machine Learning (ECML/PKDD)
   [pdf] [www] [bibtex] [doi]
3. J A. Llera, V. Gómez, H. J. Kappen (2014)
   Adaptive Multiclass Classification for Brain Computer Interfaces
   Neural Computation 26(6):1108-27
   [pdf] [www] [bibtex] [doi]
4. J H. J. Kappen, V. Gómez (2014)
   The Variational Garrote
   Machine Learning 96(3):269-294 (2014)
   [pdf] [www] [bibtex] [doi]
5. J 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] [www] [bibtex] [doi]

2013

1. J 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
   [pdf] [www] [bibtex] [doi]
2. W A. Llera, V. Gómez, H. J. Kappen (2013)
   Clustered Common Spatial Patterns
   Tools for Brain-Computer Interaction (TOBI) Workshop IV, 117-119
   [pdf] [www] [bibtex]

2012

1. J H. J. Kappen, V. Gómez, M. Opper (2012)
   Optimal control as a graphical model inference problem
   Machine Learning 87(2):159-182 (2012)
   [pdf] [www] [bibtex] [doi]
2. J M. Gheshlaghi Azar, V. Gómez, H. J. Kappen (2012)
   Dynamic Policy Programming
   Journal of Machine Learning Research 13(Nov):3207-3245 (2012)
   [pdf] [www] [bibtex] [JMLR]
3. J A. Llera, V. Gómez, H. J. Kappen (2012)
   Adaptive classification on Brain Computer Interfaces using Reinforcement Signals
   Neural Computation 24(11):2900-2923
   [pdf] [www] [bibtex] [doi]
4. c V. Gómez, M. Chertkov, S. Backhaus, H. J. Kappen (2012)
   Learning Price-Elasticity of Smart Consumers in Power Distribution Systems
   3rd IEEE International Conference on Smart Grid Communications
   [pdf] [www] [bibtex] [doi]

2011

1. C M. Gheshlaghi Azar, V. Gómez, H. J. Kappen (2011)
   Dynamic Policy Programming with Function Approximation
   Proceedings of AISTATS, PMLR 15:119-127
   [pdf] [www] [bibtex] [PMLR]
2. C V. Gómez, H. J. Kappen, A. Kaltenbrunner (2011)
   Modeling the structure and evolution of discussion cascades
   22nd ACM International Conference on Hypertext and Hypermedia (HT)
   [pdf] [www] [bibtex] [doi]
3. J 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
   [pdf] [www] [bibtex] [doi]

2010

1. J 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
   [pdf] [www] [bibtex] [doi]

2009

1. C V. Gómez, H. J. Kappen, M. Chertkov (2009)
   Approximate inference on planar graphs using Loop Calculus and Belief Propagation
   25th International Conference on Uncertainty in Artificial Intelligence (UAI)
   [pdf] [www] [bibtex] [doi]
2. c A. Llera, V. Gómez, H. J. Kappen (2009)
   Sparse matrix factorization for Brain Computer Interfaces
   International Conference on Affective Computing & Intelligent Interaction (ACII)
   [pdf] [www] [bibtex] [doi]

2008

1. C V. Gómez, A. Kaltenbrunner, H. J. Kappen, V. López (2008)
   Self-organization using synaptic plasticity
   Advances in Neural Information Processing Systems 21 (NeurIPS)
   [pdf] [www] [bibtex] [doi]
2. C V. Gómez, A. Kaltenbrunner, V. López (2008)
   Statistical analysis of the social network and discussion threads in Slashdot
   17th International World Wide Web Conference (WWW)
   [pdf] [www] [bibtex] [doi]

2007

1. J 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
   [pdf] [www] [bibtex] [arxiv] [doi]
2. J A. Kaltenbrunner, V. Gómez, V. López (2007)
   Phase transition and hysteresis in an ensemble of stochastic spiking neurons
   Neural Computation 19(11):3011-3050
   [pdf] [www] [bibtex] [doi]
3. W A. Kaltenbrunner, V. Gómez, V. López (2007)
   Description and Prediction of Slashdot Activity
   5th Latin American Web Congress (LA-WEB)
   [pdf] [www] [bibtex] [doi]

2006

Thesis

1. c V. Gómez, A. Kaltenbrunner, V. López (2006)
   Event modeling of message interchange in stochastic neural ensembles
   IEEE International Joint Conference on Neural Networks, 81-88
   [pdf] [www] [bibtex] [doi]
2. 🎓 V. Gómez (2008)
   Algorithms and complex phenomena in networks: neural ensembles, statistical inference and online communities
   Universitat Pompeu Fabra
   [pdf] [www] [bibtex]