- Member of the Artificial Intelligence and Machine Learning group at UPF
- Coordinator of the Msc. program in Intelligent and Interactive Systems at UPF
- Teacher in the Bachelor's degree in Mathematical Engineering in Data Science at UPF
Research Interests
- Machine learning, approximate inference and optimal control
- Application areas: social networks, robotics, brain computer interfaces
- Complex networks analysis and control
News
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Our paper "Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes" with Guillermo Infante and Anders Jonsson was accepted at AAAI'22 (Dec, 2021)
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The latest UPF magazine is focused on AI. Among other things, you can find a non-technical conversation about AI with Anders Jonsson and me (Oct, 2021)
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Miquel Junyent successfully defended his PhD "Width-Based Planning and Learning" and was awarded with the distinction cum laude. Congratulations! His PhD thesis can be downloaded from here (Oct, 2021)
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Our paper "Uncovering the Limits of Text-based Emotion Detection" with Nur and Andreas, has been accepted at Findings of EMNLP! Feel free to experiment using our graphical user interface - does not work under VPN (Sep, 2021)
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Our second edition of the Planning and Reinforcement Learning workshop at ICAPS has been again a great success. Check videos of the invited talks and contributing papers here (Aug, 2021)
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This summer I will be teaching the "Deep Learning and Applications" week at the BGSE Data Science summer school in the sunny city of Barcelona (Jul, 2021)
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The workshop we organized at ICAPS on Planning and Reinforcement learning has been a great success. Check website for all papers and videos (Oct, 2020)
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Our paper "Adaptive Smoothing for Path Integral Control" with Dominik, Bert, and Simone, has been accepted at JMLR! (Sept, 2020)
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Our paper "On the design of consequential ranking algorithms" with B. Tabibian, A. De, M. Gomez Rodriguez and B. Schölkopf, has been accepted at UAI 2020! (May 15th, 2020)
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Our paper "Input complexity and out-of-distribution detection with likelihood-based generative models" with J. Serrà, D. Álvarez, O. Slizovskaia, J.F. Núñez & J. Luque has been accepted at ICLR! (Dec 22nd, 2019)
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Presented our work on adapting smoothing of path integral control problems at the NeurIPS Optimization Foundations of Reinforcement Learning Workshop (Dec 14th, 2019)
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I am organizing the Special track on Planning & Learning for ICAPS 2020 together with Gerhard Neumann and Hankz H. Zhuo (Oct 5th, 2019)
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I will be coordinating the Master of Intelligent and Interactive Systems in the next years (Oct, 2019)
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Read this press article about our work on Consequential Ranking Algorithms and Long-term Wellfare in collaboration with the Max Planck Institute for Software Systems (Jul 3th, 2019)
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I will be giving the tutorial on generative models of discussion threads at ICWSM next week together with A. Kaltenbrunner and P. Aragón (Jun 7th, 2019)
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Our extended abstract on the few-get-richer phenomenon has been accepted for oral presentation at IC2S2! (Mar 13th, 2019)
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Check out this press article about the few-get-richer effect: When less is more, the "few-get-richer" effect may explain how "fake news" spread (Feb 13th, 2019)
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Our paper "Deep Policies for Width-Based Planning in Pixel Domains" with M. Junyent & A. Jonsson has been accepted at ICAPS! (Feb 7th, 2019)
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Our paper "The few-get-richer: a surprising consequence of popularity-based rankings" with F. Germano and G. Le Mens has been accepted at theWebConf! (Jan 21st, 2019)
Departament de Tecnologies de la Informació i les Comunicacions
Edifici Roc Boronat (campus del Poblenou)
Roc Boronat, 138
08018 Barcelona
+34 93 542 2952. Office: 55.130
Artificial Intelligence and Machine Learning