WP4

IJCAI2023 Distinguished Paper Award to TAILOR Scientists from KU Leuven

Congratulations to Wen Chi Yang, Gavin Rens, Giuseppe Marra and Luc De Raedt on winning the IJCAI 2023 Distinguished Paper Award! The IJCAI Distinguished Paper Awards recognise some of the best papers presented at the conference each year. The winners were selected from among more than 4500 papers by the associate programme committee chairs, the programme and general chairs, and the president of EurAI. […]

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WP4 workshop at NeSy2023 conference in Siena, 3-5 July 2023

NeSy2023 conference (https://sites.google.com/view/nesy2023/home?authuser=0) will host a TAILOR WP4 workshop on July 3rd, 11:00-13:00, about “Benchmarks for Neural-Symbolic AI”. The workshop will be in hybrid format, however in-person participation is strongly suggested, especially for NeSy researchers and PhD students. For more information, we recommend to visit the webpage https://sailab.diism.unisi.it/tailor-wp4-workshop-at-nesy/. Abstract The study of Neural-Symbolic (NeSy) approaches has

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Impressions from The Joint TAILOR-EurAI Summer school in Barcelona

During the week from 13th to 17th of June, the 19th EurAI Advanced Course on AI (ACAI) and 2nd TAILOR summer school was organised in Barcelona. This joint initiative was devoted to the themes of explainable and trustworthy AI and organized by Carles Sierra and Karina Gibert from the Intelligent Data Science and Artificial Intelligence Research Center at Universitat

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Accepted papers by TAILOR scientists to IJCAI-ECAI 2022

A lot of TAILOR scientists submitted their paperworks to the 31st International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2022). The conference will be in Vienna, from 23rd to 29th of July, 2022. Here below the (not full) list of accepted papers presented by people involved in TAILOR: AISafety

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Open position at KU Leuven, Belgium

Junior professor in machine learning Deadline for applications is January 28, 2022.  KU Leuven’s Faculty of Engineering Science has a fixed-term academic vacancy (5 years, part-time 95%) in the area of Machine Learning. The successful candidate will teach in the Master of Artificial Intelligence program, conduct research on machine learning (preferably with a focus on reinforcement learning and planning, but other specializations will also be considered), and

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