List of publications
2023
Flow Annealed Kalman Inversion for Gradient-Free Inference in Bayesian Inverse Problems
RDP Grumitt, M Karamanis, U Seljak, arXiv:2309.11490, (2023)
Bayesian Computation in Astronomy: Novel methods for parallel and gradient-free inference
M Karamanis, arXiv:2303.16134, (2023)
JAX-COSMO: An End-to-End Differentiable and GPU Accelerated Cosmology Library
JE Campagne, F Lanusse, J Zuntz, A Boucaud, S Casas, M Karamanis, D Kirkby, D Lanzieri, Y Li, A Peel, The Open Journal of Astrophysics 6, (2023)
2022
Overview of the instrumentation for the Dark Energy Spectroscopic Instrument
B Abareshi, et al. (+ M Karamanis), The Astronomical Journal 164 (5), 207, (2022)
Accelerating astronomical and cosmological inference with preconditioned Monte Carlo
M Karamanis, F Beutler, JA Peacock, D Nabergoj, U Seljak, MNRAS 516 (2), 1644-1653, (2022)
pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology
M Karamanis, D Nabergoj, F Beutler, JA Peacock, U Seljak, JOSS 7 (79), 4634, (2022)
matryoshka: halo model emulator for the galaxy power spectrum
J Donald-McCann, F Beutler, K Koyama, M Karamanis, MNRAS 511 (3), 3768-3784, (2022)
2021
hankl: A lightweight Python implementation of the FFTLog algorithm for Cosmology
M Karamanis, F Beutler, arXiv:2106.06331, (2021)
zeus: A Python implementation of Ensemble Slice Sampling for efficient Bayesian parameter inference
M Karamanis, F Beutler, JA Peacock, MNRAS 508(3), 3589-3603, (2021)
Ensemble slice sampling: Parallel, black-box and gradient-free inference for correlated & multimodal distributions
M Karamanis, F Beutler, Stat Comput 31, 61 (2021)