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Tomasz Kacprzak

ETH Zurich

Emulation of cosmological mass maps with conditional generative adversarial networks

Apr 17, 2020
Nathanaël Perraudin, Sandro Marcon, Aurelien Lucchi, Tomasz Kacprzak

* Accepted at the Workshop at the 33rd Conference on Neural Information Processing Systems (NeurIPS), December 14, 2019, https://ml4physicalsciences.github.io/files/NeurIPS_ML4PS_2019_97.pdf 

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Cosmological N-body simulations: a challenge for scalable generative models

Aug 15, 2019
Nathanaël Perraudin, Ankit Srivastava, Aurelien Lucchi, Tomasz Kacprzak, Thomas Hofmann, Alexandre Réfrégier


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DeepSphere: towards an equivariant graph-based spherical CNN

Apr 08, 2019
Michaël Defferrard, Nathanaël Perraudin, Tomasz Kacprzak, Raphael Sgier

* published at the ICLR 2019 Workshop on Representation Learning on Graphs and Manifolds. arXiv admin note: text overlap with arXiv:1810.12186 

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DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications

Oct 29, 2018
Nathanaël Perraudin, Michaël Defferrard, Tomasz Kacprzak, Raphael Sgier

* arXiv admin note: text overlap with arXiv:astro-ph/0409513 by other authors 

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Fast Cosmic Web Simulations with Generative Adversarial Networks

Sep 20, 2018
Andres C. Rodriguez, Tomasz Kacprzak, Aurelien Lucchi, Adam Amara, Raphael Sgier, Janis Fluri, Thomas Hofmann, Alexandre Réfrégier


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Fast Point Spread Function Modeling with Deep Learning

Jul 25, 2018
Jörg Herbel, Tomasz Kacprzak, Adam Amara, Alexandre Refregier, Aurelien Lucchi

* 25 pages, 8 figures, 1 table 

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Accelerating Approximate Bayesian Computation with Quantile Regression: Application to Cosmological Redshift Distributions

Jul 25, 2017
Tomasz Kacprzak, Jörg Herbel, Adam Amara, Alexandre Réfrégier

* 10 pages, 5 figures, prepared for submission to JCAP 

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Cosmological model discrimination with Deep Learning

Jul 18, 2017
Jorit Schmelzle, Aurelien Lucchi, Tomasz Kacprzak, Adam Amara, Raphael Sgier, Alexandre Réfrégier, Thomas Hofmann

* 21 pages, 9 figures, prepared for submission to JCAP 

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