Great way to close the academic year with a sunny (and refreshing) group hike in the beautiful walkways next to Paiva river. Enjoy the holidays!
Other News & Events
Interpretable Machine Learning for Astrophysics, using Symbolic Regression and Graph Neural Networks
In this talk I will argue two points. 1) Symbolic regression, a machine learning technique that fits data by iteratively searching the space of all possible analytic equations, should be a standard machine learning algorithm in astrophysics. 2) Symbolic regression can be extended to high-dimensional spaces, such as to models for N-body simulations, using the method we have developed.
C. Herdeiro was nominated a 2021 Outstanding Referee by the American Physical Society (APS). The Outstanding Referee program was instituted in 2008 to recognize scientists who have been exceptionally helpful in assessing manuscripts for publication in the APS journals. This highly selective program annually recognizes about 150 of the roughly 71,000 currently active referees.
C. Herdeiro was one of the invited speakers of the 740ths WEH Seminar "Experimental Tests and Signatures of Modified and Quantum Gravity", held from 1-5 Feb 2021. The talks of the meeting were recorded and are available here. The page is password protected.
FCT announced a call for research contracts for Ph.D. holders, from 29 January to 26 February 2021. If you are looking for a post-doctoral opportunity please contact the group coordinator to discuss a possible application.
Adam: A Method for Stochastic Optimization
D. P. Kingma and J. Ba
3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings