Facts and figures

These figures represent the summarized historical developments of Simula owned published entries in the following publication categories: journal articles, books, edited books, refereed proceedings, and book chapters.

Publications the last 10 years

Book production

Publications by research area

Journal Articles and Referred Proceedings

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2021

Journal articles

C. Daversin-Catty, C. N. Richardson, A. J. Ellingsrud and M. E. Rognes

Abstractions and automated algorithms for mixed-dimensional finite element methods

TBA (2021).
Status: Submitted
C. Fiedler, M. Fornasier, T. Klock and M. Rauchensteiner

Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples

arXiv (2021).
Status: Submitted
S. Mitusch, S. W. Funke and M. Kuchta

Hybrid FEM-NN models: Combining artificial neural networks with the finite element method

Journal of Computational Physics (2021).
Status: Submitted

Books

K. Mardal, M. E. Rognes, T. B. Thompson and L. M. Valnes

Mathematical modeling of the human brain: from magnetic resonance images to finite element simulation

.: Springer, 2021.
Status: Submitted
2020

Journal articles

S. Herbold, A. Trautsch, B. Ledel, A. Aghamohammadi, T. A. Ghaleb, K. K. Chahal, T. Bossenmaier, B. Nagaria, P. Makedonski, M. N. Ahmadabadi et al.

Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling

arXiv abs/2011.06244 (2020).
Status: Submitted
M. Jørgensen

Team resource management decisions in software development projects

submitted to a journal (2020).
Status: Submitted
T. Klock and A. Cloninger

ReLU nets adapt to intrinsic dimensionality beyond the target domain

arXiv preprint arXiv:2008.02545 (2020).
Status: Submitted
Ö. Uludag, P. Philipp, A. Putta, M. Paasivaara, C. Lassenius and F. Matthes

Revealing the State-of-the-Art in Large-Scale Agile Development: A Systematic Mapping Study

arXiv preprint arXiv:2007.05578 (2020).
Status: Submitted
2018

Journal articles

E. De Vito, Z. Kereta and V. Naumova

A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net

arXiv (2018).
Status: Submitted
M. E. Lepperød, T. Stöber, T. Hafting, M. Fyhn and K. Kording

Inferring causal connectivity from pairwise recordings and optogenetics

bioRxiv (2018).
Status: Submitted