Vicenç Gómez

The new Erasmus Mundus joint master in Artificial Intelligence (EMAI) is now accepting student applications for the next academic year. Check the website for information about the master and the available Erasmus Mundus scholarships

Our paper "Beyond 1-WL with Local Ego-Network Encodings" has been accepted at the first Learning on Graps International Conference (Nov, 2022)

We have been awarded with the new Erasmus Mundus joint master in Artificial Intelligence (EMAI)! More news soon. For now, we opened a Project Manager position to help the coordination of the new master. If interested, https://euraxess.ec.europa.eu/jobs/863649 (Oct, 2022)

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)

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)

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)

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)

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)

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)

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)

Our paper "Adaptive Smoothing for Path Integral Control" with Dominik, Bert, and Simone, has been accepted at JMLR! (Sept, 2020)

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)

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)

Presented our work on adapting smoothing of path integral control problems at the NeurIPS Optimization Foundations of Reinforcement Learning Workshop (Dec 14th, 2019)

I am organizing the Special track on Planning & Learning for ICAPS 2020 together with Gerhard Neumann and Hankz H. Zhuo (Oct 5th, 2019)

I will be coordinating the Master of Intelligent and Interactive Systems in the next years (Oct, 2019)

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)

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)

Our extended abstract on the few-get-richer phenomenon has been accepted for oral presentation at IC2S2! (Mar 13th, 2019)

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)

Our paper "Deep Policies for Width-Based Planning in Pixel Domains" with M. Junyent & A. Jonsson has been accepted at ICAPS! (Feb 7th, 2019)

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)