Tue Herlau

According to our database, Tue Herlau authored at least 18 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Probability trees and the value of a single intervention.

Tue Herlau

CoRR, 2022

Moral reinforcement learning using actual causation.

Tue Herlau

CoRR, 2022

Active learning of causal probability trees.

Tue Herlau

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Bayesian dropout.

Tue Herlau, Mikkel N. Schmidt, Morten Mørup

Proceedings of the 13th International Conference on Ambient Systems, 2022

Reinforcement Learning of Causal Variables Using Mediation Analysis.

Tue Herlau, Rasmus Larsen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Causal variables from reinforcement learning using generalized Bellman equations.

Tue Herlau

CoRR, 2020

2016

Completely random measures for modelling block-structured sparse networks.

Tue Herlau, Mikkel N. Schmidt, Morten Mørup

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Bayesian latent feature modeling for modeling bipartite networks with overlapping groups.

Philip H. Jørgensen, Morten Mørup, Mikkel N. Schmidt, Tue Herlau

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2014

Efficient inference of overlapping communities in complex networks.

Bjarne Ørum Fruergaard, Tue Herlau

CoRR, 2014

Cross-categorization of legal concepts across boundaries of legal systems: in consideration of inferential links.

Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup

Artif. Intell. Law, 2014

Nonparametric statistical structuring of knowledge systems using binary feature matches.

Morten Mørup, Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Discovering hierarchical structure in normal relational data.

Mikkel N. Schmidt, Tue Herlau, Morten Mørup

Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

2013

Analysis of Conceptualization Patterns across Groups of People.

Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup, Rafal Rzepka, Kenji Araki

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013

Unsupervised Knowledge Structuring: Application of Infinite Relational Models to the FCA Visualization.

Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup

Proceedings of the Ninth International Conference on Signal-Image Technology & Internet-Based Systems, 2013

Comparing Structural Brain Connectivity by the Infinite Relational Model.

Karen Sandø Ambrosen, Tue Herlau, Tim B. Dyrby, Mikkel N. Schmidt, Morten Mørup

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Modeling Temporal Evolution and Multiscale Structure in Networks.

Tue Herlau, Morten Mørup, Mikkel N. Schmidt

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Modelling dense relational data.

Tue Herlau, Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Detecting hierarchical structure in networks.

Tue Herlau, Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen

Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012