Paper accepted at NeurIps 2021!
The paper Storchastic: A Framework for General Stochastic Automatic Differentiation by Emile van Krieken, Jakub Tomczak and Annette ten Teije is accepted for publication in NeurIps 2021.
Read MorePaper accepted in Artificial Intelligence Journal
We are proud to announce that Analyzing Differential Fuzzy Logic Operators, Emile van Krieken, Erman Acar and Frank van Harmelen is published in Artificial Intelligence Journal. The paper presents an extensive analysis on the behaviour of a large collection of fuzzy logical operators in a differentiable learning setting. It points out a phenomenon: a strong […]
Read MorePaper accepted in Artificial Intelligence Journal
We are proud to announce that the survey submission Knowledge Graphs as tools for Explainable Machine Learning: a survey by Ilaria Tiddi and Stefan Schlobach is accepted in Artificial Intelligence Journal for publication. The paper provides an extensive overview of the use of knowledge graphs in the context of explainable machine learning.
Read MoreThree papers accepted in K-CAP 2021!
We are happy to announce that KRR researchers (Romana Pernisch and Ilaria Tiddi) have 3 papers accepted in this year’s Knowledge Capture Conference (K-Cap 2021). – Toward Measuring the Resemblance of Embedding Models forEvolving Ontologies (Romana Pernisch, Daniele Dell’Aglio ) – Multi-domain and Explainable Prediction of Changes in WebVocabularies (Albert Meroño-Peñuela, Romana Pernisch, Christophe Guéret, […]
Read MoreAndreas Sauter is joining KRR Lab!
Andreas (Sauter) is a new PhD student joining KRR Lab on Causal Discovery through Reinforcement Learning, under the supervision of Erman Acar, Frank van Harmelen, and Vincent François Lavet (Quantitative Data Analysis group). His thesis project will be a part of Hybrid Intelligence Project. Andreas holds a masters degree of AI at VU, and graduated […]
Read MoreTaraneh Younesian joining the KRR Lab
Taraneh (Younesian) is a new PhD student, joining the Dreams Lab and will be working on learning from multimodal data with knowledge graphs under the supervision of Peter Bloem and Stefan Schlobach. Prior to VU, Taraneh had 2 years of research experience in TU Delft, was working on robust deep learning models against label noise […]
Read MoreKRR Lab is growing: Márk Adamik and Inès Blin
Our lab is growing. Two new PhD students are joining us: Márk Adamik and Inès Blin. Márk has finished his MSc. in Robotics and has prior work experience as a student assistant both for the Drone Research Lab and for the Human-Robot Interaction Lab, in Aalborg University, Denmark. During his studies, he had a virtual […]
Read MoreRomana Pernisch is joining us as a Postdoc.
Romana Pernisch is joining us as a postdoc. She will also work as a part of the Discovery Lab. Romana recently completed her PhD at the University of Zurich, Switzerland. In her PhD studies, she focused on ontology and knowledge graph evolution and how evolution affects downstream tasks such as materialization or embeddings.
Read More4 Papers Accepted at ESWC 2021
We are happy to announce that KRR group has four paper accepted in ESWC 2021 Analysing Large Inconsistent Knowledge Graphs using Anti-Patterns, Thomas de Groot, Joe Raad, Stefan Schlobach Discovering Research Hypotheses in Social Science using Knowledge Graph Embeddings, Rosaline de Haan, Ilaria Tiddi, Wouter Beek Refining Transitive and pseudo-Transitive Relations at Web Scale, Shuai […]
Read MoreKRR Team is growing
We are delighted to have two more new members who are joining our group as postdoctoral researchers to work in DReamS Lab project: Jan-Christoph Calo (who has already joined in April 1st) and Benno Kruit (who will be joining per May 1st). Jan-Christoph and Benno, a big welcome!
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