Haakon Robinson

12 papers B 2Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Deep learning assisted physics-based modeling of aluminum extraction process. Eng. Appl. Artif. Intell. Haakon Robinson, Erlend Lundby, Adil Rasheed, Jan Tommy Gravdahl
2023	—	`conf`	Sparse Neural Networks with Skip-Connections for Identification of Aluminum Electrolysis Cell. CDC Erlend Torje Berg Lundby, Haakon Robinson, Adil Rasheed, Ivar Johan Halvorsen, Jan Tommy Gravdahl
2023	J	`jnl`	Sparse neural networks with skip-connections for nonlinear system identification. CoRR Erlend Torje Berg Lundby, Haakon Robinson, Adil Rasheed, Ivar Johan Halvorsen, Jan Tommy Gravdahl
2023	—	`—`	Trustworthy Machine Learning for Controlled Dynamic Systems. Haakon Robinson
2022	J	`jnl`	A novel corrective-source term approach to modeling unknown physics in aluminum extraction process. CoRR Haakon Robinson, Erlend Lundby, Adil Rasheed, Jan Tommy Gravdahl
2022	J	`jnl`	Physics guided neural networks for modelling of non-linear dynamics. CoRR Haakon Robinson, Suraj Pawar, Adil Rasheed, Omer San
2022	J	`jnl`	Physics guided neural networks for modelling of non-linear dynamics. Neural Networks Haakon Robinson, Suraj Pawar, Adil Rasheed, Omer San
2021	B	`conf`	Robust Reasoning for Autonomous Cyber-Physical Systems in Dynamic Environments. KES Anne Håkansson, Aya Saad, Akhil S. Anand, Vilde B. Gjærum, Haakon Robinson, Katrine Seel
2021	B	`conf`	Safe Learning for Control using Control Lyapunov Functions and Control Barrier Functions: A Review. KES Akhil S. Anand, Katrine Seel, Vilde B. Gjærum, Anne Håkansson, Haakon Robinson, Aya Saad
2020	J	`jnl`	Taming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement Learning. IEEE Access Eivind Meyer, Haakon Robinson, Adil Rasheed, Omer San
2019	J	`jnl`	Dissecting Deep Neural Networks. CoRR Haakon Robinson, Adil Rasheed, Omer San
2019	J	`jnl`	Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning. CoRR Eivind Meyer, Haakon Robinson, Adil Rasheed, Omer San

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