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Minas Karamanis
Minas Karamanis
Postdoctoral Fellow, Berkeley Center for Cosmological Physics, University of California, Berkeley
Verified email at berkeley.edu - Homepage
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Cited by
Cited by
Year
Overview of the instrumentation for the dark energy spectroscopic instrument
B Abareshi, J Aguilar, S Ahlen, S Alam, DM Alexander, R Alfarsy, L Allen, ...
The Astronomical Journal 164 (5), 207, 2022
1852022
zeus: A Python implementation of Ensemble Slice Sampling for efficient Bayesian parameter inference
M Karamanis, F Beutler, JA Peacock
arXiv preprint arXiv:2105.03468, 2021
532021
Ensemble slice sampling: Parallel, black-box and gradient-free inference for correlated & multimodal distributions
M Karamanis, F Beutler
arXiv preprint arXiv:2002.06212, 2020
402020
Accelerating astronomical and cosmological inference with preconditioned Monte Carlo
M Karamanis, F Beutler, JA Peacock, D Nabergoj, U Seljak
Monthly Notices of the Royal Astronomical Society 516 (2), 1644-1653, 2022
282022
pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology
M Karamanis, D Nabergoj, F Beutler, JA Peacock, U Seljak
arXiv preprint arXiv:2207.05660, 2022
172022
matryoshka: halo model emulator for the galaxy power spectrum
J Donald-McCann, F Beutler, K Koyama, M Karamanis
Monthly Notices of the Royal Astronomical Society 511 (3), 3768-3784, 2022
162022
JAX-COSMO: An end-to-end differentiable and GPU accelerated cosmology library
JE Campagne, F Lanusse, J Zuntz, A Boucaud, S Casas, M Karamanis, ...
arXiv preprint arXiv:2302.05163, 2023
142023
hankl: A lightweight Python implementation of the FFTLog algorithm for Cosmology
M Karamanis, F Beutler
arXiv preprint arXiv:2106.06331, 2021
32021
Preconditioned Monte Carlo for Gradient-Free Bayesian Inference in the Physical Sciences
M Karamanis, U Seljak
Physical Sciences Forum 9 (1), 23, 2024
12024
Flow Annealed Kalman Inversion for Gradient-Free Inference in Bayesian Inverse Problems
RDP Grumitt, M Karamanis, U Seljak
Physical Sciences Forum 9 (1), 21, 2024
2024
Bayesian Computation in Astronomy: Novel methods for parallel and gradient-free inference
M Karamanis
arXiv preprint arXiv:2303.16134, 2023
2023
pocoMC: Preconditioned Monte Carlo method for accelerated Bayesian inference
M Karamanis, F Beutler, JA Peacock, D Nabergoj, U Seljak
Astrophysics Source Code Library, ascl: 2207.018, 2022
2022
hankl: Python implementation of the FFTLog algorithm for cosmology
M Karamanis, F Beutler
Astrophysics Source Code Library, ascl: 2112.022, 2021
2021
zeus: Lightning Fast MCMC
M Karamanis, F Beutler
Astrophysics Source Code Library, ascl: 2008.010, 2020
2020
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