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2020 – today
- 2024
[c3]Katarzyna Michalowska, Somdatta Goswami, George Em Karniadakis, Signe Riemer-Sørensen:
Neural Operator Learning for Long-Time Integration in Dynamical Systems with Recurrent Neural Networks. IJCNN 2024: 1-8- [i13]Pål Forr Austnes, Signe Riemer-Sørensen, David Andreas Bordvik, Christian Andre Andresen:
Balancing the Norwegian regulated power market anno 2016 to 2022. CoRR abs/2402.09134 (2024) - [i12]Katarzyna Michalowska, Helga Margrete Bodahl Holmestad, Signe Riemer-Sørensen:
Road Graph Generator: Mapping roads at construction sites from GPS data. CoRR abs/2402.09919 (2024) - [i11]Pål V. Johnsen, Eivind Bøhn, Sølve Eidnes, Filippo Remonato, Signe Riemer-Sørensen:
Recency-Weighted Temporally-Segmented Ensemble for Time-Series Modeling. CoRR abs/2403.02150 (2024) - 2023
- [j3]Pål Vegard Johnsen
, Inga Strümke, Mette Langaas, Andrew Thomas DeWan, Signe Riemer-Sørensen:
Inferring feature importance with uncertainties with application to large genotype data. PLoS Comput. Biol. 19(3) (2023) - [j2]Mark Haring, Esten Ingar Grøtli, Signe Riemer-Sørensen, Katrine Seel, Kristian Gaustad Hanssen:
A Levenberg-Marquardt Algorithm for Sparse Identification of Dynamical Systems. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9323-9336 (2023) - [i10]Katarzyna Michalowska, Somdatta Goswami, George Em Karniadakis, Signe Riemer-Sørensen:
Neural Operator Learning for Long-Time Integration in Dynamical Systems with Recurrent Neural Networks. CoRR abs/2303.02243 (2023) - [i9]Sigurd Holmsen, Sølve Eidnes, Signe Riemer-Sørensen:
Pseudo-Hamiltonian system identification. CoRR abs/2305.06920 (2023) - [i8]Katarzyna Michalowska, Somdatta Goswami, George Em Karniadakis, Signe Riemer-Sørensen:
DON-LSTM: Multi-Resolution Learning with DeepONets and Long Short-Term Memory Neural Networks. CoRR abs/2310.02491 (2023) - 2022
- [c2]Marius Cervera Landsverk, Signe Riemer-Sørensen:
Mutual information estimation for graph convolutional neural networks. NLDL 2022 - [i7]Mark Haring, Esten Ingar Grøtli, Signe Riemer-Sørensen, Katrine Seel, Kristian Gaustad Hanssen:
A Levenberg-Marquardt algorithm for sparse identification of dynamical systems. CoRR abs/2203.12379 (2022) - [i6]Marius Cervera Landsverk, Signe Riemer-Sørensen:
Mutual information estimation for graph convolutional neural networks. CoRR abs/2203.16887 (2022) - [i5]Sølve Eidnes, Alexander J. Stasik, Camilla Sterud, Eivind Bøhn, Signe Riemer-Sørensen:
Port-Hamiltonian Neural Networks with State Dependent Ports. CoRR abs/2206.02660 (2022) - 2021
- [j1]Pål V. Johnsen, Signe Riemer-Sørensen, Andrew Thomas DeWan, Megan E. Cahill, Mette Langaas:
A new method for exploring gene-gene and gene-environment interactions in GWAS with tree ensemble methods and SHAP values. BMC Bioinform. 22(1): 230 (2021) - [i4]Pål Vegard Johnsen, Inga Strümke, Signe Riemer-Sørensen, Andrew Thomas DeWan, Mette Langaas:
Inferring feature importance with uncertainties in high-dimensional data. CoRR abs/2109.00855 (2021) - 2020
- [i3]Jie Wu, Decao Yin, Halvor Lie, Signe Riemer-Sørensen, Svein Sævik, Michael S. Triantafyllou:
Improved VIV response prediction using adaptive parameters and data clustering. CoRR abs/2003.05519 (2020) - [i2]Signe Riemer-Sørensen, Gjert Hovland Rosenlund:
Deep Reinforcement Learning for Long Term Hydropower Production Scheduling. CoRR abs/2012.06312 (2020)
2010 – 2019
- 2019
- [c1]Signe Riemer-Sørensen, Jie Wu, Halvor Lie, Svein Sævik, Sang-Woo Kim:
Data-Driven Prediction of Vortex-Induced Vibration Response of Marine Risers Subjected to Three-Dimensional Current. NAIS 2019: 78-89 - [i1]Signe Riemer-Sørensen, Jie Wu, Halvor Lie, Svein Sævik, Sang-Woo Kim:
Data-driven prediction of vortex-induced vibration response of marine risers subjected to three-dimensional current. CoRR abs/1906.11177 (2019)
Coauthor Index
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