Sparse Nerves in Practice. - Nello Blaser; Morten Brun (CD-MAKE, 2019)

Efficient Computation of Hessian Matrices in TensorFlow. - Geir Kjetil Nilsen; Antonella Zanna Munthe-Kaas; Hans J. Skaug; Morten Brun (CoRR, 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)

Sparse Dowker nerves. - Morten Brun; Nello Blaser (J. Appl. Comput. Topol., 2019)

Divisive Cover. - Nello Blaser; Morten Brun (Math. Comput. Sci., 2019)

Revealing Multimodality in Ensemble Weather Prediction. - Natacha Galmiche; Helwig Hauser; Thomas Spengler; Clemens Spensberger; Morten Brun; Nello Blaser (MLVis@EuroVis, 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)

Relative Persistent Homology. - Nello Blaser; Morten Brun (Discret. Comput. Geom., 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)

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)

The parameterized complexity of finding minimum bounded chains. - Nello Blaser; Morten Brun; Lars M. Salbu; Erlend Raa Vågset (Comput. Geom., 2024)

Core Bifiltration. - Nello Blaser; Morten Brun; Odin Hoff Gardaa; Lars M. Salbu (CoRR, 2024)

HyperTraPS-CT: Inference and prediction for accumulation pathways with flexible data and model structures. - Olav N. L. Aga; Morten Brun; Kazeem Adesina Dauda; Ramón Díaz-Uriarte; Konstantinos Giannakis; Iain G. Johnston (PLoS Comput. Biol., 2024)

Monoidal Rips: Stable Multiparameter Filtrations of Directed Networks. - Nello Blaser; Morten Brun; Odin Hoff Gardaa; Lars M. Salbu (CoRR, 2025)