Ensemble slice sampling: Parallel, black-box and gradient-free inference for correlated & multimodal distributions von Karamanis, Minas, Beutler, Florian

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JAX-COSMO: An End-to-End Differentiable and GPU Accelerated Cosmology Library von Campagne, Jean-Eric, Lanusse, François, Zuntz, Joe, Boucaud, Alexandre, Casas, Santiago, Karamanis, Minas, Kirkby, David, Lanzieri, Denise, Peel, Austin, Li, Yin

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zeus: a python implementation of ensemble slice sampling for efficient Bayesian parameter inference von Karamanis, Minas, Beutler, Florian, Peacock, John A

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matryoshka : halo model emulator for the galaxy power spectrum von Donald-McCann, Jamie, Beutler, Florian, Koyama, Kazuya, Karamanis, Minas

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Ensemble slice sampling von Karamanis Minas, Beutler Florian

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Accelerating astronomical and cosmological inference with preconditioned Monte Carlo von Karamanis, Minas, Beutler, Florian, Peacock, John A, Nabergoj, David, Seljak, Uroš

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Bayesian computation in astronomy: novel methods for parallel and gradient-free inference von Karamanis, Minas

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Sequential Kalman tuning of the t-preconditioned Crank-Nicolson algorithm: efficient, adaptive and gradient-free inference for Bayesian inverse problems von Grumitt, Richard D P, Karamanis, Minas, Seljak, Uroš

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Bayesian Computation in Astronomy: Novel methods for parallel and gradient-free inference von Karamanis, Minas

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pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology von Karamanis, Minas, Nabergoj, David, Beutler, Florian, Peacock, John A., Seljak, Uroš

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Persistent Sampling: Unleashing the Potential of Sequential Monte Carlo von Karamanis, Minas, Seljak, Uroš

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JAX-COSMO: An End-to-End Differentiable and GPU Accelerated Cosmology Library von Jean-Eric Campagne, François Lanusse, Joe Zuntz, Alexandre Boucaud, Santiago Casas, Minas Karamanis, David Kirkby, Denise Lanzieri, Austin Peel, Yin Li

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Ensemble Slice Sampling: Parallel, black-box and gradient-free inference for correlated & multimodal distributions von Karamanis, Minas, Beutler, Florian

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hankl: A lightweight Python implementation of the FFTLog algorithm for Cosmology von Karamanis, Minas, Beutler, Florian

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Persistent Sampling: Unleashing the Potential of Sequential Monte Carlo von Karamanis, Minas, Seljak, Uroš

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Robust and fast parameter estimation for gravitational waves from binary neutron star merger remnants von Vretinaris, Stamatis, Vretinaris, Georgios, Mermigkas, Christos, Karamanis, Minas, Stergioulas, Nikolaos

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Sequential Kalman Tuning of the $t$-preconditioned Crank-Nicolson algorithm: efficient, adaptive and gradient-free inference for Bayesian inverse problems von Grumitt, Richard D. P, Karamanis, Minas, Seljak, Uroš

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Flow Annealed Kalman Inversion for Gradient-Free Inference in Bayesian Inverse Problems von Grumitt, Richard D. P, Karamanis, Minas, Seljak, Uroš

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zeus: A Python implementation of Ensemble Slice Sampling for efficient Bayesian parameter inference von Karamanis, Minas, Beutler, Florian, Peacock, John A

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Selecting samples of galaxies with fewer Fingers-of-God von Lizancos, Antón Baleato, Seljak, Uroš, Karamanis, Minas, Bonici, Marco, Ferraro, Simone

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