We are proud to announce that the paper “Complex Query Answering with Neural Link Predictors” by our PhD candidate Daniel Daza and Assist Prof. Michael Cochez along with our distinguished colleagues Erik Arakelyan and Pasquale Minervini (from UCL) got an outstanding paper award (awarded to 8 papers out of 860 accepted papers) in ICLR 2021, […]
Read MoreWe are happy to announce that Dimitrios Alivanistos and Nikos Kondylidis, two brilliant PhD students, are joining in our team! Dimitris (https://dimitrisalivas.github.io/) will be working on novel scientific hypothesis generation as part of the DiscoveryLabs under the supervision of Frank van Harmelen and Michael Cochez. Nikos will be working on knowledge storage and inference technologies […]
Read MoreThree papers has been accepted in KRR 2020 for oral presentation. All three are in distinct topics: from neuro-symbolic AI, and temporal logic to probabilistic logic/decision theory. Respectively, Analysing Differentiable Fuzzy Implications, Emile van Krieken, Erman Acar, Frank van Harmelen On Sufficient and Necessary Conditions in Bounded CTL: A Forgetting Approach , Renyan Feng, Erman […]
Read MoreWe have got the best resource paper award in ESWC 2020 with the paper MetaLink: A Travel Guide to the LOD Cloud by Wouter Beek, Joe Raad, Erman Acar and Frank van Harmelen
Read MorePaper accepted in AAAI 2020: Distance-Based Equilibria in Normal-Form Games by Erman Acar and Reshef Meir
Read MoreArtifical Intelligence ter voorkoming van suïcide Senior KR&R member Zhisheng Huang has attracted much media attention in China with his AI-approach to detect potential suicide incidents. His lalgorithms rang postings on Chinese social media on a scale of 1 to 10, indindicating urgency, and then forwards these alerts to hundreds of volunteers across China. These […]
Read MoreWe’re very happy and proud that Michael Cochez will join our group on a tenure track position. He’ll start on September 1. We’re looking forward to the collaborations!
Read MoreAnnette and Frank have been teaching a seminar on “Combining Symbolic and Statistical approaches to AI” for three years now. The indefatigable reading of papers by our students and their insightful discussions lead to our paper that gives an overview of the recent literature in the form of a boxology (yes, it’s an existing word, […]
Read MoreOur work on analysing the LOD cloud “Observing the LOD Cloud using Equivalent Set Graphs: the LOD Cloud is mostly flat and sparsely linked” got accepted for ISWC 2019. A great example how a visit to our group lead to a really nice piece of work and a publication.
Read MoreFrank wrote a comment on his blog about Rich Sutton’s provocative “Bitter Lesson”
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