Publications per year
Publications per year
Personal profile
Profile
My main interests are modeling of complex networks using Bayesian methods. My main area of application is brain imaging data.
The aspects of complex networks I am particularly interested in at the moment is complex networks often contain multiscale structure (i.e. nested structure ranging from a few vertices to large parts of the network) and are temporal; consider for instance a social network where the structure might range from cliques of friends, schools and school classes to entire countries.
I have a bachelor in physics and mathematics from the University of Copenhagen and a masters at DTU Informatics. Please write for further information on past or current projects, code or ideas for corporation.
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Collaborations and top research areas from the last five years
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Active learning of causal probability trees
Herlau, T., 2023, Proceedings of 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, p. 1196-1202Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Bayesian dropout
Herlau, T., Schmidt, M. N. & Mørup, M., 2022, In: Procedia Computer Science. 201, C, p. 771-776Research output: Contribution to journal › Conference article › Research › peer-review
Open AccessFile97 Downloads (Pure) -
Moral Reinforcement Learning Using Actual Causation
Herlau, T., 2022, Proceedings of 2nd International Conference on Computer, Control and Robotics. IEEE, p. 179-185Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile117 Downloads (Pure) -
Reinforcement Learning of Causal Variables using Mediation Analysis
Herlau, T. & Larsen, R., 2022, Proceedings of 36th AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence, p. 6910-6917Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open Access -
Uncovering Cortical Units of Processing From Multi-Layered Connectomes
Albers, K. J., Liptrot, M. G., Ambrosen, K. S., Røge, R., Herlau, T., Andersen, K. W., Siebner, H. R., Hansen, L. K., Dyrby, T. B., Madsen, K. H., Schmidt, M. N. & Mørup, M., 10 Mar 2022, In: Frontiers in Neuroscience. 16, 18 p., 836259.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile62 Downloads (Pure)
Projects
- 1 Finished
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Modelling the structure of complex networks
Herlau, T. (PhD Student), Mørup, M. (Main Supervisor), Hansen, L. K. (Supervisor), Schmidt, M. N. (Supervisor), Winther, O. (Examiner), Girolami, M. (Examiner) & Tresp, V. (Examiner)
Technical University of Denmark
01/06/2011 → 09/09/2014
Project: PhD
Activities
- 1 Supervisor activities
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Niek van den Bos, Prognostics for notched carbon/epoxy composites under variable loading using probabilistic methods, Master project
Mikkelsen, L. P. (Main supervisor), Herlau, T. (Supervisor) & Zarouchas, D. (Supervisor)
1 Nov 2019 → 31 Aug 2020Activity: Examinations and supervision › Supervisor activities
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