332 citations
- Norwegian University of Science and TechnologyNO36 papers
- SINTEF Digital22 papers
- University of OsloNO14 papers
- Institute for Energy TechnologyNO3 papers
- National Institute for Materials ScienceJP3 papers
- Nordic Institute for Theoretical PhysicsSE3 papers
- SINTEF IndustryNO3 papers
- Stockholm UniversitySE3 papers
- AlbaNovaSE2 papers
- Leiden UniversityNL2 papers
- Norwegian University of Life SciencesNO2 papers
- Oklahoma State UniversityUS2 papers
Showing 2020 · cs.LGShow all
3 papers · 2 filters
cs.LG2020★ 135 cited
Physics guided machine learning using simplified theories
Suraj Pawar, Omer San, Burak Aksoylu +2
Recent applications of machine learning, in particular deep learning, motivate the need to address the generalizability of the statistical inference approaches in physical sciences…
cs.LG2020★ 19 cited
Deep Reinforcement Learning for Long Term Hydropower Production Scheduling
Signe Riemer-Sorensen, Gjert H. Rosenlund
We explore the use of deep reinforcement learning to provide strategies for long term scheduling of hydropower production. We consider a use-case where the aim is to optimise the y…
cs.LG2020★ 7 cited
Towards the Automation of a Chemical Sulphonation Process with Machine Learning
Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin +4
Nowadays, the continuous improvement and automation of industrial processes has become a key factor in many fields, and in the chemical industry, it is no exception. This translate…