The CCER seminars are aimed at researchers interested in computational approaches to (energy) research. The seminar is small-scale, typically 15 participants, and interactive, offering lots of room for discussion. If you'd like to attend, just This email address is being protected from spambots. You need JavaScript enabled to view it. .

Machine Learning in Energy Research
Vianney Koelman  (CCER)

Machine Learning is going through a phase of rapid progress. Central in this progress is a form of representation learning referred to as Deep Learning (DL). Objective of this talk is to give an outsider’s perspective on DL and to provide an intuitive understanding of the key concepts utilized in DL. A proposed application of DL in porous media research will be presented, and the talk will conclude with a perspective on physics-based modeling vs representation learning. At the end of the talk you will be in the position to give an informed answer to the question: should the CCER embrace Deep Learning as a key computational capability or are should we stay away from this overhyped subject?

Speaker: Vianney Koelman (CCER)
Time: Nov. 16, 2017, 10:00–11:00
Location: Differ