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)
[www] [arxiv]
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)
[www] [arxiv]
N. Alvarez-Gonzalez, A. Kaltenbrunner, V. Gómez (2023) Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings Accepted in Transactions on Machine Learning Research
[arxiv] [code]
E. Fraxanet, M. Pellert, S. Schweighofer, V. Gómez, D. Garcia (2023) Unpacking polarization: Antagonism and Alignment in Signed Networks of Online Interaction
[www] [arxiv]
F. Germano, V. Gómez, F. Sobbrio (2022) Crowding out the truth? A simple model of misinformation, polarization and meaningful social interactions
[pdf] [www] [arxiv]
Conferences
G. Infante, A. Jonsson, V. Gómez (2022) Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes Proceedings of the 36th AAAI Conference on Artificial Intelligence 2022 (AAAI)
[pdf] [www] [arxiv]
N. Alvarez-Gonzalez, A. Kaltenbrunner, V. Gómez (2022) Beyond 1-WL with Local Ego-Network Encodings Learning on Graphs Conference 2022 (LoG)
[pdf] [www] [code]
N. Alvarez-Gonzalez, A. Kaltenbrunner, Vicenç Gómez (2021) Uncovering the Limits of Text-based Emotion Detection Findings of EMNLP (International Conference on Empirical Methods in Natural Language Processing) (EMNLP) [pdf] [www] [bibtex] [arxiv]
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] [code] [slides] The camera ready version of this paper contains some errors in Algorithm 3 and Figures 2 and 3. Please check the arxiv version for the corrected version.
B. Tabibian, V. Gómez, A. De, B. Schölkopf, M. Gomez Rodriguez (2020) Uncertainty in Artificial Intelligence (UAI) On the design of consequential ranking algorithms
[pdf] [supp] [www] [bibtex] [arxiv]
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]
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] [code] [slides] The camera ready version of this paper contains an error in Table 2. Please check the arxiv version for the corrected version.
F. Germano, V. Gómez, G. Le Mens (2019) The few-get-richer: a surprising consequence of popularity-based rankings The Web Conference (WWW)
[pdf] [www] [bibtex] [arxiv] [dataset] [slides]
N. Lykousas, V. Gómez, C. Patsakis (2019) Sharing Emotions at Scale: the Vent Dataset International AAAI Conference on Web and Social Media (ICWSM)
[pdf] [www] [bibtex] [dataset]
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 (ASONAM)
[pdf] [www] [bibtex]
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 International AAAI Conference on Web and Social Media (ICWSM)
[pdf] [www] [bibtex]
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]
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]
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]
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] [www] [bibtex]
A. Jonsson, V. Gómez (2016) Hierarchical Linearly-Solvable Markov Decision Problems 26th International Conference on Automated Planning and Scheduling (ICAPS)
[pdf] [www] [bibtex]
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]
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] [www] [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)
[pdf] [www] [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] [www] [bibtex]
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] [www] [bibtex]
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] [sup] [www] [bibtex]
V. Gómez, A. Kaltenbrunner, V. López, H. J. Kappen (2008) Self-organization using synaptic plasticity Advances in Neural Information Processing Systems (NIPS)
[pdf] [www] [bibtex]
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] [www] [bibtex]
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] [www] [bibtex]
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
[pdf] [www] [bibtex]
Journals
R. Garriga, V. Gómez, G. Lugosi Individualized post-crisis monitoring of psychiatric patients via Hidden Markov models Frontiers in Digital Health 6, 1322555 (2024)
[pdf] [bibtex] [www]
S. Calo, F. Bistaffa, A. Jonsson, V. Gómez, M. Viana Spatial air quality prediction in urban areas via message passing Engineering Applications of Artificial Intelligence, Volume 133, Part B, July 2024, 108191 (2024)
[pdf] [bibtex] [www]
E. Theophilou, D. Hernández‐Leo, V. Gómez Gender‐based learning and behavioural differences in an educational social media platform Journal of Computer Assisted Learning (2023)
[pdf] [bibtex] [www]
N. Alvarez-Gonzalez, A. Kaltenbrunner, V. Gómez Beyond Weisfeiler–Lehman with Local Ego-Network Encodings Machine Learning and Knowledge Extraction5 (4), 1234-1265 (2023)
[pdf] [www] [bibtex] [code]
D. Thalmeier, H. J. Kappen, S. Totaro, V. Gómez Adaptive Smoothing Path Integral Control Journal of Machine Learning Research 21(191):1−37 (2020)
[pdf] [poster] [JMLR] [bibtex]
B. Samanta, A. De, G. Jana, V. Gómez, P. Chattaraj, N. Ganguly, M. Gomez-Rodriguez NEVAE: A Deep Generative Model for Molecular Graphs Journal of Machine Learning Research21(114): 1−3364 (2020)
[pdf] [arxiv] [bibtex] [JMLR] [github]
M. Molkaraie, V. Gómez (2018) Monte Carlo Methods for the Ferromagnetic Potts Model Using Factor Graph Duality IEEE Transactions on Information Theory64(12):7449−7464 (2018)
[pdf] [arxiv] [bibtex] [TIT]
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 Applications8(1):15 (2017)
[pdf] [www] [bibtex] [JISA]
P. Aragón, V. Gómez, A. Kaltenbrunner Detecting Platform Effects in Online Discussions Policy & Internet doi:10.1002/poi3.158 (2017)
[pdf] [www] [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 Theoretical50(3) 034006 (2017)
[pdf] [www] [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 Engineering11(5):056002 (2014)
[pdf] [www] [bibtex] [JNE]
A. Llera, V. Gómez, H. J. Kappen Adaptive Multiclass Classification for Brain Computer Interfaces Neural Computation26(6):1108-27 (2014)
[pdf] [www] [bibtex] [NECO]
H. J. Kappen, V. Gómez The Variational Garrote Machine Learning Journal96(3):269-294 (2014)
[pdf] [www] [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 Web16(5-6):645-675 (2013)
[pdf] [www] [bibtex] [WWW] [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 Computation24(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 Networks24(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 Research11(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 Research8(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 Computation19(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]
Other refereed publications
G. Infante, A. Jonsson, V. Gómez (2023) Optimal Hierarchical Average-Reward Linearly-solvable Markov Decision Processes
Sixteenth European Workshop on Reinforcement Learning
[pdf] [www] [bibtex]
N. Alvarez-Gonzalez, A. Kaltenbrunner, V. Gómez (2021) Emotion-Core: An Open Source framework for emotion detection research
[pdf] [www] [bibtex] [code]
A. Valenzuela, C. Segura, F. Diego, V. Gómez (2021) Expression Transfer Using Flow-Based Generative Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
[pdf] [www] [bibtex] [Web]
N. Alvarez-Gonzalez, A. Kaltenbrunner, V. Gómez (2021) Inductive Graph Embeddings through Locality Encodings The 5th International Workshop on Deep Learning on Graphs: Methods and Applications (DLG-AAAI’21)
[pdf] [arxiv] [bibtex] [Web]
M. Junyent, A. Jonsson, V. Gómez (2018) Improving width-based planning with compact policies ICML / IJCAI / AAMAS 2018 Workshop on Planning and Learning
[pdf] [cs.AI:1806.05898]
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]
PhD Thesis
V. Gómez (2008) Algorithms and complex phenomena in networks: neural ensembles, statistical inference and online communities Universitat Pompeu Fabra
[pdf] [bibtex] [www]
