• Jacopo D'Ignazi, Andreas Kaltenbrunner, Gaël Le Mens, Fabrizio Germano, and Vicenç Gómez. (2025)
    Rewarding Engagement and Personalization in Popularity-Based Rankings Amplifies Extremism and Polarization, https://arxiv.org/abs/2510.24354

  • Carlos Núñez-Molina, Vicenç Gómez, and Hector Geffner. (2025)
    From Next Token Prediction to (STRIPS) World Models – Preliminary Results
    ICAPS 2025 Workshop LM4Plan, https://llmforplanning.github.io/ICAPS25/

  • Emma Fraxanet, Andreas Kaltenbrunner, Fabrizio Germano, and Vicenç Gómez. (2025)
    Analyzing News Engagement on Facebook: Tracking Ideological Segregation and News Quality in the Facebook URL Dataset
    EPJ Data Science 14 (73), https:/doi.org/10.1140/epjds/s13688-025-00585-3

  • Guillermo Infante, David Kuric, Vicenç Gómez, Anders Jonsson, and Herke van Hoof. (2024)
    Using a Learned Policy Basis to Optimally Solve Reward Machines
    Seventeenth European Workshop on Reinforcement Learning. EWRL17, https://openreview.net/forum?id=PfRAkMOFDc

  • Nurudin Alvarez-Gonzalez, Andreas Kaltenbrunner, and Vicenç Gómez. (2024)
    Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings
    Transactions on Machine Learning Research (TMLR), https://openreview.net/forum?id=N0Sc0KY0AH

  • David Kuric, Guillermo Infante, Vicenç Gómez,Anders Jonsson, and Herke van Hoof. (2024)
    Planning with a Learned Policy Basis to Optimally Solve Complex Tasks
    Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, ICAPS 2024. 34(1), 333-341, https://doi.org/10.1609/icaps.v34i1.31492

  • Guillermo Infante, Anders Jonsson, and Vicenç Gómez. (2024)
    Hierarchical Average-Reward Linearly-solvable Markov Decision Processes
    Frontiers in Artificial Intelligence and Applications. Volume 392: ECAI 2024, 19–24, https://ebooks.iospress.nl/DOI/10.3233/FAIA240631

  • Magí Dalmau Moreno, Néstor García, Vicenç Gómez, and Héctor Geffner. (2024)
    Combined Task and Motion Planning via Sketch Decompositions
    Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, ICAPS 2024. 34(1), 123-132, https://doi.org/10.1609/icaps.v34i1.31468

  • Roger Garriga, Vicenç Gómez, Gábor Lugosi. (2024)
    Individualized post-crisis monitoring of psychiatric patients via Hidden Markov models
    Frontiers in Digital Health, 6, 1322555, https://doi.org/10.3389/fdgth.2024.1322555

  • Nurudin Alvarez-Gonzalez, Andreas Kaltenbrunner, and Vicenç Gómez. (2023)
    Beyond Weisfeiler–Lehman with Local Ego-Network Encodings
    Machine Learning and Knowledge Extraction, 5(4), 1234-1265, https://doi.org/10.3390/make5040063