Publications (Scientific Output)
2022 (6)Asimi K, Barto L, Butti S. Fixed-Template Promise Model Checking Problems. En: Solnon C. Leibniz International Proceedings in Informatics, LIPIcs . 1 ed. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing; 2022. |
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Atserias A, Dalmau V. Promise constraint satisfaction and width. En: Naor JS, Buchbinder N (eds.). Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2022). 1 ed. New York: ACM; 2022. p. 1129-1153. |
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Bart L, Butti S. Weisfeiler-Leman Invariant Promise Valued CSPs. En: Solnon C. Leibniz International Proceedings in Informatics, LIPIcs . 1 ed. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing; 2022. |
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Bernardino G, Jonsson A, Loncaric F, Martí Castellote PM, Sitges M, Clarysse P, Duchateau N. Reinforcement learning for active modality selection during diagnosis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022; ( ): 592-601. |
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Cate B.T.;Dalmau, Dalmau V.. Conjunctive Queries: Unique Characterizations and Exact Learnability. ACM transactions on database systems 2022; 47(4). |
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Rodriguez ID, Bonet B, Sardina S, Geffner H. FOND planning with explicit fairness assumptions.. Journal of Artificial Intelligence Research 2022; (74): 887-916. |
2021 (21)Agirre E, Jonsson A, Larcher A. Framing lifelong learning as autonomous deployment: tune once live forever.. Lecture Notes in Electrical Engineering 2021; ( ): 331-336. |
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Alvarez-Gonzalez N, Kaltenbrunner A, Gómez V. Emotion-Core: an open source framework for emotion detection research. Software Impacts 2021; 10( ): 1-3. |
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Barceló P, Baumgartner A, Dalmau V, Kimelfeld B. Regularizing conjunctive features for classification. Journal of Computer and System Sciences 2021; (119): 97-124. |
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Bonet B, Geffner H. General policies, representations, and planning width. Proceedings of the annual AAAI Conference on Artificial Intelligence 2021; 35(13): 11764-11773. |
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Briceño R, Bulatov A, Dalmau V, Larose B. Dismantlability, connectedness, and mixing in relational structures.. Journal of Combinatorial Theory. Series B 2021; 147( ): 37-70. |
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Butti S, Dalmau V. Fractional homomorphism, Weisfeiler-Leman invariance, and the Sherali-Adams hierarchy for the constraint satisfaction problem. Leibniz international proceedings in informatics 2021; 27( ): 1-19. |
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Butti S, Dalmau V. The complexity of the distributed constraint satisfaction problem. Theory of Computing Systems 2021; 20( ): 1-18. |
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Drexler D, Seipp, J, Geffner H. Expressing and exploiting the common subgoal structure of classical planning domains using sketches. Proceedings. International Conference on Principles of Knowledge Representation and Reasoning 2021; ( ): 258-268. |
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Francès G, Bonet B, Geffner H. Learning general policies from small examples without supervision. Proceedings of the annual AAAI Conference on Artificial Intelligence 2021; 35(13): 2703-2710. |
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Junyent M, Gómez V, Jonsson A. Hierarchical width-based planning and learning. Proceedings International Conference on Automated Planning and Scheduling 2021; ( ): 519-527. |
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Neu G, Olkhovskaya J. Online Learning in MDPs with Linear Function Approximation and Bandit Feedback. Advances in Neural Information Processing Systems 2021; 13( ): 10407-10417. |
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Nikbakht R, Jonsson A, Lozano A. Unsupervised Learning for C-RAN Power Control and Power Allocation. IEEE Wireless Communications Letters 2021; 25(3): 687-691. |
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Nikbakht R, Jonsson A, Lozano A. Unsupervised Learning for Cellular Power Control. IEEE Wireless Communications Letters 2021; 25(3): 682-686. |
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Rodriguez ID, Bonet B, Romero J, Geffner H. Learning first-order representations for planning from black box states: new results. Proceedings. International Conference on Principles of Knowledge Representation and Reasoning 2021; ( ): 539-548. |