2023

• Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy; Halvorsen, Ivar Johan. (2023) Sparse deep neural networks for modeling aluminum electrolysis dynamics. Applied Soft Computing
  Academic article
• Lundby, Erlend Torje Berg; Robinson, Haakon; Rasheed, Adil; Halvorsen, Ivar Johan; Gravdahl, Jan Tommy. (2023) Sparse Neural Networks with Skip-Connections for Identification of Aluminum Electrolysis Cell. IEEE Conference on Decision and Control. Proceedings
  Academic article
• Robinson, Haakon; Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy. (2023) Deep learning assisted physics-based modeling of aluminum extraction process. Engineering Applications of Artificial Intelligence
  Academic article
• Lundby, Erlend Torje Berg; Rasheed, Adil; Halvorsen, Ivar Johan; Reinhardt, Dirk Peter; Gros, Sebastien Nicolas; Gravdahl, Jan Tommy. (2023) Deep active learning for nonlinear system identification. arXiv.org
  Academic article
• Haugstvedt, Emil Johannesen; Mino Calero, Alberto; Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy. (2023) A Comparative Study of Sparsity Promoting Techniques in Neural Network for Modeling Non-Linear Dynamics. IEEE Access
  Academic article

2021

• Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy; Halvorsen, Ivar Johan. (2021) A novel hybrid analysis and modeling approach applied to aluminum electrolysis process. Journal of Process Control
  Academic article