Vicenç Gómez

Orcid: 0000-0001-5146-7645

Affiliations:
  • Universitat Pompeu Fabra, Barcelona, Spain


According to our database1, Vicenç Gómez authored at least 64 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Links

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Bibliography

2024
Spatial air quality prediction in urban areas via message passing.
Eng. Appl. Artif. Intell., 2024

Combined Task and Motion Planning Via Sketch Decompositions (Extended Version with Supplementary Material).
CoRR, 2024

Planning with a Learned Policy Basis to Optimally Solve Complex Tasks.
Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

Combined Task and Motion Planning via Sketch Decompositions.
Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

2023
Beyond Weisfeiler-Lehman with Local Ego-Network Encodings.
Mach. Learn. Knowl. Extr., December, 2023

Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings.
CoRR, 2023

Unpacking polarization: Antagonism and Alignment in Signed Networks of Online Interaction.
CoRR, 2023

2022
Beyond 1-WL with Local Ego-Network Encodings.
CoRR, 2022

Crowding out the truth? A simple model of misinformation, polarization and meaningful social interactions.
CoRR, 2022

Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
<i>Emotion-Core</i>: An Open Source framework for emotion detection research.
Softw. Impacts, 2021

Uncovering the Limits of Text-based Emotion Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Expression Transfer Using Flow-Based Generative Models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Hierarchical Width-Based Planning and Learning.
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

2020
Adaptive Smoothing for Path Integral Control.
J. Mach. Learn. Res., 2020

NEVAE: A Deep Generative Model for Molecular Graphs.
J. Mach. Learn. Res., 2020

Inductive Graph Embeddings through Locality Encodings.
CoRR, 2020

On the design of consequential ranking algorithms.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Input Complexity and Out-of-distribution Detection with Likelihood-based Generative Models.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Consequential Ranking Algorithms and Long-term Welfare.
CoRR, 2019

The few-get-richer: a surprising consequence of popularity-based rankings?
Proceedings of the World Wide Web Conference, 2019

Sharing Emotions at Scale: The Vent Dataset.
Proceedings of the Thirteenth International Conference on Web and Social Media, 2019

Deep Policies for Width-Based Planning in Pixel Domains.
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018
Monte Carlo Methods for the Ferromagnetic Potts Model Using Factor Graph Duality.
IEEE Trans. Inf. Theory, 2018

Improving width-based planning with compact policies.
CoRR, 2018

Online Petitioning Through Data Exploration and What We Found There: A Dataset of Petitions from Avaaz.org.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Adult Content in Social Live Streaming Services: Characterizing Deviant Users and Relationships.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Interactive Discovery System for Direct Democracy.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Generative models of online discussion threads: state of the art and research challenges.
J. Internet Serv. Appl., 2017

A unified view of entropy-regularized Markov decision processes.
CoRR, 2017

Deliberative Platform Design: The case study of the online discussions in Decidim Barcelona.
CoRR, 2017

Lost in Re-Election: A Tale of Two Spanish Online Campaigns.
Proceedings of the Social Informatics, 2017

Deliberative Platform Design: The Case Study of the Online Discussions in Decidim Barcelona.
Proceedings of the Social Informatics, 2017

To Thread or Not to Thread: The Impact of Conversation Threading on Online Discussion.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Fast rates for online learning in Linearly Solvable Markov Decision Processes.
Proceedings of the 30th Conference on Learning Theory, 2017

2016
Action selection in growing state spaces: Control of Network Structure Growth.
CoRR, 2016

Visualization Tool for Collective Awareness in a Platform of Citizen Proposals.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Correcting Multivariate Auto-Regressive Models for the Influence of Unobserved Common Input.
Proceedings of the Artificial Intelligence Research and Development, 2016

Hierarchical Linearly-Solvable Markov Decision Problems.
Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

Real-Time Stochastic Optimal Control for Multi-Agent Quadrotor Systems.
Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

2015
Efficient Monte Carlo Methods for the Potts Model at Low Temperature.
CoRR, 2015

Real-Time Stochastic Optimal Control for Multi-agent Quadrotor Swarms.
CoRR, 2015

2014
Adaptive Multiclass Classification for Brain Computer Interfaces.
Neural Comput., 2014

The Variational Garrote.
Mach. Learn., 2014

Latent Kullback Leibler Control for Continuous-State Systems using Probabilistic Graphical Models.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Policy Search for Path Integral Control.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013
A likelihood-based framework for the analysis of discussion threads.
World Wide Web, 2013

2012
Adaptive Classification on Brain-Computer Interfaces Using Reinforcement Signals.
Neural Comput., 2012

Optimal control as a graphical model inference problem.
Mach. Learn., 2012

Dynamic policy programming.
J. Mach. Learn. Res., 2012

Learning price-elasticity of smart consumers in power distribution systems.
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

2011
On the use of interaction error potentials for adaptive brain computer interfaces.
Neural Networks, 2011

Dynamic Policy Programming with Function Approximation.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Modeling the structure and evolution of discussion cascades.
Proceedings of the HT'11, 2011

2010
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation.
J. Mach. Learn. Res., 2010

2009
Sparse matrix factorization for brain computer interfaces.
Proceedings of the Affective Computing and Intelligent Interaction, 2009

2008
Algorithms and complex phenomena in networks: Neural ensembles, statistical, interference and online communities.
PhD thesis, 2008

Statistical analysis of the social network and discussion threads in slashdot.
Proceedings of the 17th International Conference on World Wide Web, 2008

Self-organization using synaptic plasticity.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Phase Transition and Hysteresis in an Ensemble of Stochastic Spiking Neurons.
Neural Comput., 2007

Truncating the Loop Series Expansion for Belief Propagation.
J. Mach. Learn. Res., 2007

Description and Prediction of Slashdot Activity.
Proceedings of the Fifth Latin American Web Congress (LA-Web 2007), 31 October, 2007

Homogeneous Temporal Activity Patterns in a Large Online Communication Space.
Proceedings of the BIS 2007 Workshop on Social Aspects of the Web, 2007

2006
Event modeling of message interchange in stochastic neural ensembles.
Proceedings of the International Joint Conference on Neural Networks, 2006


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