collaborators

15 papers

astro-ph.IM2026

Fast Inference on Astronomical Time Series with Trans-Dimensional Flow Matching Posterior Estimation

Nina van der Meulen, Tin Hadži Veljković, Daniela Huppenkothen +2

The analysis of time series plays an important part in the study of (fast) transient events, including gamma-ray bursts, magnetar bursts, fast radio bursts, and solar flares. A com…

gr-qc2026

Sequential simulation-based inference for extreme mass ratio inspirals

Philippa S. Cole, James Alvey, Lorenzo Speri +4

Extreme mass-ratio inspirals pose a difficult challenge in terms of both search and parameter estimation for upcoming space-based gravitational-wave detectors such as LISA. Their s…

astro-ph.IM2025

PolySwyft: sequential simulation-based nested sampling

Kilian H. Scheutwinkel, Will Handley, Christoph Weniger +1

We present PolySwyft, a novel, non-amortised simulation-based inference framework that unites the strengths of nested sampling (NS) and neural ratio estimation (NRE) to tackle chal…

astro-ph.CO2025

How to embed any likelihood into SBI: Application to Planck + Stage IV galaxy surveys and Dynamical Dark Energy

Guillermo Franco Abellán, Noemi Anau Montel, Oleg Savchenko +1

Simulation-based inference (SBI) allows fast Bayesian inference for simulators encoding implicit likelihoods. However, some explicit likelihoods cannot be easily reformulated as si…

astro-ph.IM2025

Dynamic SBI: Round-free Sequential Simulation-Based Inference with Adaptive Datasets

Huifang Lyu, James Alvey, Noemi Anau Montel +2

Simulation-based inference (SBI) is emerging as a new statistical paradigm for addressing complex scientific inference problems. By leveraging the representational power of deep ne…

astro-ph.CO2025

Simulation-Based Inference of the sky-averaged 21-cm signal from CD-EoR with REACH

Anchal Saxena, P. Daniel Meerburg, Christoph Weniger +2

The redshifted 21-cm signal from the Cosmic Dawn and Epoch of Reionization carries invaluable information about the cosmology and astrophysics of the early Universe. Analyzing data…