The KRR group has been a wonderful home from many of us for years and even decades. In the past few years, however, we have grown enormeously both in terms of number of people as well as in the width of topics and expertise. There we have decided to continue as two groups, the Learning […]
Read MoreThe paper Recommending Scientific Datasets UsingAuthor Networks in Ensemble Methods co-authored by Xu Wang, Frank van Harmelen and Zhisheng Huang is accepted for publication in Data Science Journal.
Read MoreThe paper Learning to Cooperate with Human Evaluative Feedback and Demonstrations co-authored by Mehul Verma and Erman Acar is accepted to HHAI 2022 (The first International Conference on Hybrid Human-Artificial Intelligence) for oral presentation.
Read MoreThe paper Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods co-authored by Niklas Höpner, Ilaria Tiddi, Herke van Hoof is accepted to IJCAI 2022 for oral presentation
Read MoreThe paper Planning for potential: efficient safe reinforcement learning co-authored by Floris den Hengst, Vincent François-Lavet, Mark Hoogendoorn and Frank van Harmelen is published in “Machine Learning” Journal (March 2022).
Read MoreSome KRR members are joining ICT Open this year. And here are the pitches for the poster presentations. Discovery Lab Introduction by Romana Pernisch Discovering Missing Links in Knowledge by Daniel Daza & Dimitrios Alivanistos Meta-Reinforcement Learning for Causal Discovery by Andreas Sauter Using Referential Language Games for Task-oriented Ontology Alignmentby Nikolaos Kondylidis On the […]
Read MorePaper accepted in CVPR 2022: The paper Hyperbolic Image Segmentation, co-authored with Mina Ghadimi Atigh, Julian Schoep, Erman Acar, Nanne van Noord and Pascal Mettes is accepted in CVPR 2022. The submission was the result of the master thesis project of Julian Schoep who daily supervised by Erman Acar and Nanne van Noord, and later […]
Read MoreWe are happy to announce that the Best paper of the IEEE Computer journal in 2020 is awarded to the paper A Research Agenda for Hybrid Intelligence co-authored by Hybrid Intelligence consortium, including our very own Annette, Stefan and Frank.
Read MoreJanuary 2022: We are pleased to announce that the paper named Query Embedding on Hyper-Relational Knowledge Graphs by Dimitrios, Michael and colleagues from LMU and McGill got accepted to ICLR 2022
Read MoreJanuary 2022: Two publications in the AI Journal in a single month: Knowledge graphs as tools for explainable machine learning: A survey by Ilaria and Stefan, and Analyzing Differentiable Fuzzy Logic Operators by Emile, Erman and Frank
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