Peter Bloem

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 35

Top Topics

Kolmogorov Complexity

Relational Graph

Video Segmentation

Top Venues

Frontiers Neuroinformatics

Publications

Stefan F. Schouten, Peter Bloem, Ilia Markov, Piek Vossen
Truth-value judgment in language models: belief directions are context sensitive. CoRR (2024)
Shuai Wang, Joe Raad, Peter Bloem, Frank van Harmelen
Refining Large Integrated Identity Graphs Using the Unique Name Assumption. ESWC (2023)
Stefan F. Schouten, Peter Bloem, Ilia Markov, Piek Vossen
Reasoning about Ambiguous Definite Descriptions. EMNLP (Findings) (2023)
Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem, Paul Groth
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation. CoRR (2023)
Taraneh Younesian, Thiviyan Thanapalasingam, Emile van Krieken, Daniel Daza, Peter Bloem
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks. CoRR (2023)
Stefan F. Schouten, Peter Bloem, Ilia Markov, Piek Vossen
Reasoning about Ambiguous Definite Descriptions. CoRR (2023)
W. X. Wilcke, Peter Bloem, Victor de Boer, R. H. van t Veer
End-to-End Learning on Multimodal Knowledge Graphs. CoRR (2023)
Stefan Schouten, Peter Bloem, Piek Vossen
Probing the representations of named entities in Transformer-based Language Models. BlackboxNLP@EMNLP (2022)
Robin Weiler, Marina Diachenko, Erika L. Juarez-Martinez, Arthur Ervin Avramiea, Peter Bloem, Klaus Linkenkaer-Hansen
Robin's Viewer: Using deep-learning predictions to assist EEG annotation. Frontiers Neuroinformatics 16 (2022)
Thiviyan Thanapalasingam, Lucas van Berkel, Peter Bloem, Paul Groth
Relational graph convolutional networks: a closer look. PeerJ Comput. Sci. 8 (2022)
Idries Nasim, Shuai Wang, Joe Raad, Peter Bloem, Frank van Harmelen
What does it mean when your URIs are redirected? Examining identity and redirection in the LOD cloud. MEPDaW@ISWC (2022)
Peter Bloem
Finding Motifs in Knowledge Graphs using Compression. CoRR (2021)
Shuai Wang, Joe Raad, Peter Bloem, Frank van Harmelen
Refining Transitive and Pseudo-Transitive Relations at Web Scale. ESWC (2021)
Peter Bloem, Xander Wilcke, Lucas van Berkel, Victor de Boer
kgbench: A Collection of Knowledge Graph Datasets for Evaluating Relational and Multimodal Machine Learning. ESWC (2021)
Thiviyan Thanapalasingam, Lucas van Berkel, Peter Bloem, Paul Groth
Relational Graph Convolutional Networks: A Closer Look. CoRR (2021)
Paulo Alting von Geusau, Peter Bloem
Evaluating the Robustness of Question-Answering Models to Paraphrased Questions. BNAIC/BENELEARN (Selected Papers) (2020)
Peter Bloem, Steven de Rooij
Large-scale network motif analysis using compression. Data Min. Knowl. Discov. 34 (5) (2020)
W. X. Wilcke, Peter Bloem, Victor de Boer, R. H. van t Veer, F. A. H. van Harmelen
End-to-End Entity Classification on Multimodal Knowledge Graphs. CoRR (2020)
Tijs Maas, Peter Bloem
Uncertainty Intervals for Graph-based Spatio-Temporal Traffic Prediction. CoRR (2020)
Ahmed El Gazzar, Mirjam Quaak, Leonardo Cerliani, Peter Bloem, Guido van Wingen, Rajat Mani Thomas
A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study. CoRR (2020)
Radu Sibechi, Olaf Booij, Nora Baka, Peter Bloem
Exploiting Temporality for Semi-Supervised Video Segmentation. CoRR (2019)
Radu Sibechi, Olaf Booij, Nora Baka, Peter Bloem
Exploiting Temporality for Semi-Supervised Video Segmentation. ICCV Workshops (2019)
Floris Hermsen, Peter Bloem, Fabian Jansen, Wolf Vos
End-to-End Learning from Complex Multigraphs with Latent Graph Convolutional Networks. CoRR (2019)
Ahmed El Gazzar, Mirjam Quaak, Leonardo Cerliani, Peter Bloem, Guido van Wingen, Rajat Mani Thomas
A Hybrid 3DCNN and 3DC-LSTM Based Model for 4D Spatio-Temporal fMRI Data: An ABIDE Autism Classification Study. OR/MLCN@MICCAI (2019)
Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling
Modeling Relational Data with Graph Convolutional Networks. ESWC (2018)
Peter Bloem
Learning sparse transformations through backpropagation. CoRR (2018)
Peter Bloem, Steven de Rooij
A tutorial on MDL hypothesis testing for graph analysis. CoRR (2018)
Koen Lennart van der Veen, Ruben Seggers, Peter Bloem, Giorgio Patrini
Three Tools for Practical Differential Privacy. CoRR (2018)
Rein van 't Veer, Peter Bloem, Erwin Folmer
Deep Learning for Classification Tasks on Geospatial Vector Polygons. CoRR (2018)
Peter Bloem, Steven de Rooij
Large-Scale Network Motif Learning with Compression. CoRR (2017)
Albert Meroño-Peñuela, Rinke Hoekstra, Aldo Gangemi, Peter Bloem, Reinier de Valk, Bas Stringer, Berit Janssen, Victor de Boer, Alo Allik, Stefan Schlobach, Kevin R. Page
The MIDI Linked Data Cloud. ISWC (2) (2017)
Xander Wilcke, Peter Bloem, Victor de Boer
The knowledge graph as the default data model for learning on heterogeneous knowledge. Data Sci. 1 (1-2) (2017)
Peter Bloem, Steven de Rooij
An Expectation-Maximization Algorithm for the Fractal Inverse Problem. CoRR (2017)
Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling
Modeling Relational Data with Graph Convolutional Networks. CoRR (2017)
Steven de Rooij, Wouter Beek, Peter Bloem, Frank van Harmelen, Stefan Schlobach
Are Names Meaningful? Quantifying Social Meaning on the Semantic Web. ISWC (1) (2016)
Peter Bloem, Steven de Rooij, Pieter Adriaans
Two Problems for Sophistication. ALT (2015)
Peter Bloem, Francisco Mota, Steven de Rooij, Luis Antunes, Pieter Adriaans
A Safe Approximation for Kolmogorov Complexity. ALT (2014)
Peter Bloem, Gerben de Vries
Machine Learning on Linked Data, a Position Paper. LD4KD (2014)
Adianto Wibisono, Peter Bloem, Gerben Klaas Dirk de Vries, Paul Groth, Adam Belloum, Marian Bubak
Generating Scientific Documentation for Computational Experiments Using Provenance. IPAW (2014)
Peter Bloem, Adianto Wibisono, Gerben de Vries
Simplifying RDF Data for Graph-Based Machine Learning. KNOW@LOD (2014)