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Janis Fluri
Janis Fluri
IT Specialist, ETH Zurich
Verified email at id.ethz.ch
Title
Cited by
Cited by
Year
Fast cosmic web simulations with generative adversarial networks
AC Rodriguez, T Kacprzak, A Lucchi, A Amara, R Sgier, J Fluri, ...
Computational Astrophysics and Cosmology 5 (1), 1-11, 2018
1022018
Cosmological constraints with deep learning from KiDS-450 weak lensing maps
J Fluri, T Kacprzak, A Lucchi, A Refregier, A Amara, T Hofmann, ...
Physical Review D 100 (6), 063514, 2019
822019
Cosmological constraints from noisy convergence maps through deep learning
J Fluri, T Kacprzak, A Refregier, A Amara, A Lucchi, T Hofmann
Physical Review D 98 (12), 123518, 2018
512018
Cosmological forecast for non-Gaussian statistics in large-scale weak lensing surveys
D Zürcher, J Fluri, R Sgier, T Kacprzak, A Refregier
Journal of Cosmology and Astroparticle Physics 2021 (01), 028, 2021
322021
Weak lensing peak statistics in the era of large scale cosmological surveys
J Fluri, T Kacprzak, R Sgier, A Refregier, A Amara
Journal of Cosmology and Astroparticle Physics 2018 (10), 051, 2018
242018
Dark energy survey year 3 results: Cosmology with peaks using an emulator approach
D Zürcher, J Fluri, R Sgier, T Kacprzak, M Gatti, C Doux, L Whiteway, ...
Monthly Notices of the Royal Astronomical Society 511 (2), 2075-2104, 2022
162022
Predicting cosmological observables with PyCosmo
F Tarsitano, U Schmitt, A Refregier, J Fluri, R Sgier, A Nicola, J Herbel, ...
Astronomy and Computing 36, 100484, 2021
82021
Fast lightcones for combined cosmological probes
R Sgier, J Fluri, J Herbel, A Réfrégier, A Amara, T Kacprzak, A Nicola
Journal of Cosmology and Astroparticle Physics 2021 (02), 047, 2021
82021
Cosmological parameter estimation and inference using deep summaries
J Fluri, T Kacprzak, A Refregier, A Lucchi, T Hofmann
Physical Review D 104 (12), 123526, 2021
72021
Full analysis of KiDS-1000 weak lensing maps using deep learning
J Fluri, T Kacprzak, A Lucchi, A Schneider, A Refregier, T Hofmann
Physical Review D 105 (8), 083518, 2022
62022
CosmoGridV1: a simulated CDM theory prediction for map-level cosmological inference
T Kacprzak, J Fluri, A Schneider, A Refregier, J Stadel
arXiv preprint arXiv:2209.04662, 2022
12022
DeepLSS: breaking parameter degeneracies in large scale structure with deep learning analysis of combined probes
T Kacprzak, J Fluri
arXiv preprint arXiv:2203.09616, 2022
12022
A tomographic spherical mass map emulator of the KiDS-1000 survey using conditional generative adversarial networks
TWH Yiu, J Fluri, T Kacprzak
arXiv preprint arXiv:2112.12741, 2021
12021
Symbolic Implementation of Extensions of the Boltzmann Solver
B Moser, CS Lorenz, U Schmitt, A Refregier, J Fluri, R Sgier, F Tarsitano, ...
arXiv preprint arXiv:2112.08395, 2021
12021
Assessing theoretical uncertainties for cosmological constraints from weak lensing surveys
T Tan, D Zuercher, J Fluri, A Refregier, F Tarsitano, T Kacprzak
arXiv preprint arXiv:2207.03598, 2022
2022
Symbolic implementation of extensions of the PyCosmo Boltzmann solver
B Moser, CS Lorenz, U Schmitt, A Réfrégier, J Fluri, R Sgier, F Tarsitano, ...
Astronomy and Computing, 100603, 2022
2022
Towards a full CDM map-based analysis for weak lensing surveys
D Zürcher, J Fluri, V Ajani, S Fischbacher, A Refregier, T Kacprzak
arXiv preprint arXiv:2206.01450, 2022
2022
Cosmological Parameter Inference with Deep Learning
J Fluri
ETH Zurich, 2022
2022
A tomographic spherical mass map emulator of the KiDS-1000 survey using conditional generative adversarial networks
T Wing Hei Yiu, J Fluri, T Kacprzak
arXiv e-prints, arXiv: 2112.12741, 2021
2021
Combined -point analysis of the Cosmic Microwave Background and Large-Scale Structure: implications for the -tension and neutrino mass constraints
R Sgier, C Lorenz, A Refregier, J Fluri, D Zürcher, F Tarsitano
arXiv preprint arXiv:2110.03815, 2021
2021
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