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!
Latest Other News & Events
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
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.