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11/22/2022
Cosmology from Galaxy Redshift Surveys with PointNet
In recent years, deep learning approaches have achieved state-of-the-art...
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03/22/2022
sympy2c: from symbolic expressions to fast C/C++ functions and ODE solvers in Python
Computer algebra systems play an important role in science as they facil...
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11/11/2021
Super-resolving Dark Matter Halos using Generative Deep Learning
Generative deep learning methods built upon Convolutional Neural Network...
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08/15/2019
Cosmological N-body simulations: a challenge for scalable generative models
Deep generative models, such as Generative Adversarial Networks (GANs) o...
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01/27/2018
Fast Cosmic Web Simulations with Generative Adversarial Networks
Dark matter in the universe evolves through gravity to form a complex ne...
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01/23/2018
Fast Point Spread Function Modeling with Deep Learning
Modeling the Point Spread Function (PSF) of wide-field surveys is vital ...
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07/24/2017
Accelerating Approximate Bayesian Computation with Quantile Regression: Application to Cosmological Redshift Distributions
Approximate Bayesian Computation (ABC) is a method to obtain a posterior...
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07/17/2017