Morten Brun

According to our database, Morten Brun authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

Core Bifiltration.

Nello Blaser, Morten Brun, Odin Hoff Gardaa, Lars M. Salbu

CoRR, 2024

The parameterized complexity of finding minimum bounded chains.

Nello Blaser, Morten Brun, Lars M. Salbu, Erlend Raa Vågset

Comput. Geom., 2024

2022

Epistemic uncertainty quantification in deep learning classification by the Delta method.

Geir Kjetil Nilsen, Antonella Zanna Munthe-Kaas, Hans J. Skaug, Morten Brun

Neural Networks, 2022

GUBS: Graph-Based Unsupervised Brain Segmentation in MRI Images.

Simeon Mayala, Ida Herdlevær, Jonas Bull Haugsøen, Shamundeeswari Anandan, Nello Blaser, Sonia Gavasso, Morten Brun

J. Imaging, 2022

Relative Persistent Homology.

Nello Blaser, Morten Brun

Discret. Comput. Geom., 2022

2021

A Comparison of the Delta Method and the Bootstrap in Deep Learning Classification.

Geir Kjetil Nilsen, Antonella Zanna Munthe-Kaas, Hans J. Skaug, Morten Brun

CoRR, 2021

Revealing Multimodality in Ensemble Weather Prediction.

Natacha Galmiche, Helwig Hauser, Thomas Spengler, Clemens Spensberger, Morten Brun, Nello Blaser

Proceedings of the 4th Workshop on Machine Learning Methods in Visualisation for Big Data, 2021

2019

Divisive Cover.

Nello Blaser, Morten Brun

Math. Comput. Sci., 2019

Sparse Dowker nerves.

Morten Brun, Nello Blaser

J. Appl. Comput. Topol., 2019

On the Delta Method for Uncertainty Approximation in Deep Learning.

Geir Kjetil Nilsen, Antonella Zanna Munthe-Kaas, Hans J. Skaug, Morten Brun

CoRR, 2019

Efficient Computation of Hessian Matrices in TensorFlow.

Geir Kjetil Nilsen, Antonella Zanna Munthe-Kaas, Hans J. Skaug, Morten Brun

CoRR, 2019

Sparse Nerves in Practice.

Nello Blaser, Morten Brun

Proceedings of the Machine Learning and Knowledge Extraction, 2019