Erlend Lundby

According to our database, Erlend Lundby authored at least 8 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Sparse deep neural networks for modeling aluminum electrolysis dynamics.

Erlend Torje Berg Lundby, Adil Rasheed, Jan Tommy Gravdahl, Ivar Johan Halvorsen

Appl. Soft Comput., February, 2023

Data-Driven Dynamical Modeling in the Face of Data Limitations.

Erlend Lundby

PhD thesis, 2023

Deep learning assisted physics-based modeling of aluminum extraction process.

Haakon Robinson, Erlend Lundby, Adil Rasheed, Jan Tommy Gravdahl

Eng. Appl. Artif. Intell., 2023

Deep active learning for nonlinear system identification.

Erlend Torje Berg Lundby, Adil Rasheed, Ivar Johan Halvorsen, Dirk Reinhardt, Sebastien Gros, Jan Tommy Gravdahl

CoRR, 2023

Sparse neural networks with skip-connections for nonlinear system identification.

Erlend Torje Berg Lundby, Haakon Robinson, Adil Rasheed, Ivar Johan Halvorsen, Jan Tommy Gravdahl

CoRR, 2023

A Comparative Study of Sparsity Promoting Techniques in Neural Network for Modeling Non-Linear Dynamics.

Emil Johannesen Haugstvedt, Alberto Miño Calero, Erlend Torje Berg Lundby, Adil Rasheed, Jan Tommy Gravdahl

IEEE Access, 2023

Sparse Neural Networks with Skip-Connections for Identification of Aluminum Electrolysis Cell.

Erlend Torje Berg Lundby, Haakon Robinson, Adil Rasheed, Ivar Johan Halvorsen, Jan Tommy Gravdahl

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

A novel corrective-source term approach to modeling unknown physics in aluminum extraction process.

Haakon Robinson, Erlend Lundby, Adil Rasheed, Jan Tommy Gravdahl

CoRR, 2022