Sparse deep neural networks for modeling aluminum electrolysis dynamics

13 September 2022

Papers citing "Sparse deep neural networks for modeling aluminum electrolysis dynamics"

5 / 5 papers shown

Title
Sparse neural networks with skip-connections for identification of aluminum electrolysis cell E. Lundby Haakon Robinson Adil Rasheed I. Halvorsen J. Gravdahl 30 2 0 02 Jan 2023
A novel corrective-source term approach to modeling unknown physics in aluminum extraction process Haakon Robinson E. Lundby Adil Rasheed J. Gravdahl 22 5 0 22 Sep 2022
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 141 684 0 31 Jan 2021
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 144 661 0 28 Dec 2020
Physics guided machine learning using simplified theories Suraj Pawar Omer San Burak Aksoylu Adil Rasheed T. Kvamsdal PINN AI4CE 102 106 0 18 Dec 2020