Nello Blaser

Orcid: 0000-0001-9489-1657

Affiliations:
  • University of Bergen, Norway


According to our database1, Nello Blaser authored at least 22 papers between 2018 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Monoidal Rips: stable multiparameter filtrations of directed networks.
J. Appl. Comput. Topol., June, 2026

Evaluating Prediction Uncertainty Estimates from BatchEnsemble.
CoRR, January, 2026

2025
Core Bifiltration.
J. Appl. Comput. Topol., December, 2025

Reeb Graph of Sample Thickenings.
CoRR, December, 2025

RotaTouille: Rotation Equivariant Deep Learning for Contours.
CoRR, August, 2025

Calibrated and uncertain? Evaluating uncertainty estimates in binary classification models.
CoRR, August, 2025

Homology localization through the looking-glass of parameterized complexity theory.
J. Appl. Comput. Topol., June, 2025

SO(3)-Equivariant Neural Networks for Learning Vector Fields on Spheres.
CoRR, March, 2025

On the parameterized complexity of lineal topologies (depth-first spanning trees) with many or few leaves.
J. Comput. Syst. Sci., 2025

2024
The parameterized complexity of finding minimum bounded chains.
Comput. Geom., 2024

Stable Update of Regression Trees.
Proceedings of the Conference on Lifelong Learning Agents, 2024

2023
Kernelization for Finding Lineal Topologies (Depth-First Spanning Trees) with Many or Few Leaves.
Proceedings of the Fundamentals of Computation Theory - 24th International Symposium, 2023

2022
GUBS: Graph-Based Unsupervised Brain Segmentation in MRI Images.
J. Imaging, 2022

ETH-Tight Algorithms for Finding Surfaces in Simplicial Complexes of Bounded Treewidth.
Proceedings of the 38th International Symposium on Computational Geometry, 2022

2021
Revealing Multimodality in Ensemble Weather Prediction.
Proceedings of the 4th Workshop on Machine Learning Methods in Visualisation for Big Data, 2021

2020
Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations.
CoRR, 2020

Binary Time Series Classification with Bayesian Convolutional Neural Networks When Monitoring for Marine Gas Discharges.
Algorithms, 2020

Relative Persistent Homology.
Proceedings of the 36th International Symposium on Computational Geometry, 2020

2019
Divisive Cover.
Math. Comput. Sci., 2019

Sparse Dowker nerves.
J. Appl. Comput. Topol., 2019

Sparse Nerves in Practice.
Proceedings of the Machine Learning and Knowledge Extraction, 2019

2018
Evaluating model reduction under parameter uncertainty.
BMC Syst. Biol., 2018


  Loading...