Signe Riemer-Sørensen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Mutual Information

Dynamical Systems

Reinforcement Learning

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Pål Forr Austnes, Signe Riemer-Sørensen, David Andreas Bordvik, Christian Andre Andresen
Balancing the Norwegian regulated power market anno 2016 to 2022. CoRR (2024)
Pål V. Johnsen, Eivind Bøhn, Sølve Eidnes, Filippo Remonato, Signe Riemer-Sørensen
Recency-Weighted Temporally-Segmented Ensemble for Time-Series Modeling. CoRR (2024)
Katarzyna Michalowska, Helga Margrete Bodahl Holmestad, Signe Riemer-Sørensen
Road Graph Generator: Mapping roads at construction sites from GPS data. CoRR (2024)
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 (2023)
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 (2023)
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)
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) (2023)
Sigurd Holmsen, Sølve Eidnes, Signe Riemer-Sørensen
Pseudo-Hamiltonian system identification. CoRR (2023)
Mark Haring, Esten Ingar Grøtli, Signe Riemer-Sørensen, Katrine Seel, Kristian Gaustad Hanssen
A Levenberg-Marquardt algorithm for sparse identification of dynamical systems. CoRR (2022)
Marius Cervera Landsverk, Signe Riemer-Sørensen
Mutual information estimation for graph convolutional neural networks. NLDL (2022)
Marius C. Landverk, Signe Riemer-Sørensen
Mutual information estimation for graph convolutional neural networks. CoRR (2022)
Sølve Eidnes, Alexander J. Stasik, Camilla Sterud, Eivind Bøhn, Signe Riemer-Sørensen
Port-Hamiltonian Neural Networks with State Dependent Ports. CoRR (2022)
Pål Vegard Johnsen, Inga Strümke, Signe Riemer-Sørensen, Andrew Thomas DeWan, Mette Langaas
Inferring feature importance with uncertainties in high-dimensional data. CoRR (2021)
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) (2021)
Signe Riemer-Sørensen, Gjert H. Rosenlund
Deep Reinforcement Learning for Long Term Hydropower Production Scheduling. CoRR (2020)
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 (2020)
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)
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 (2019)