In recent years, deep learning approaches have achieved state-of-the-art...
In classical cosmological analysis of large scale structure surveys with...
Mass maps created using weak gravitational lensing techniques play a cru...
Deep generative models, such as Generative Adversarial Networks (GANs) o...
Spherical data is found in many applications. By modeling the discretize...
Convolutional Neural Networks (CNNs) are a cornerstone of the Deep Learn...
Dark matter in the universe evolves through gravity to form a complex ne...
Modeling the Point Spread Function (PSF) of wide-field surveys is vital ...
Approximate Bayesian Computation (ABC) is a method to obtain a posterior...
We demonstrate the potential of Deep Learning methods for measurements o...