activity
20202026
most citedProbabilistic Mass Mapping with Neural Score Estimation

38 citations · 40 across the 7 of their papers we have counts for

collaborators
Showing astro-ph.COShow all

5 papers · 1 filter

astro-ph.CO2026

Joint inference of weak lensing convergence map and cosmology with diffusion models

Benjamin Remy, Chihway Chang, Rebecca Willett

We present a method for joint inference of cosmological parameters and convergence maps from weak lensing observations, targeting the full posterior conditioned on the observed she…

astro-ph.CO2025

Bridging Simulators with Conditional Optimal Transport

Justine Zeghal, Benjamin Remy, Yashar Hezaveh +2

We propose a new field-level emulator that bridges two simulators using unpaired simulation datasets. Our method leverages a flow-based approach to learn the likelihood transport f…

astro-ph.CO2022

Towards solving model bias in cosmic shear forward modeling

Benjamin Remy, Francois Lanusse, Jean-Luc Starck

As the volume and quality of modern galaxy surveys increase, so does the difficulty of measuring the cosmological signal imprinted in galaxy shapes. Weak gravitational lensing sour…

astro-ph.CO2022★ 38 cited

Probabilistic Mass Mapping with Neural Score Estimation

Benjamin Remy, Francois Lanusse, Niall Jeffrey +4

Weak lensing mass-mapping is a useful tool to access the full distribution of dark matter on the sky, but because of intrinsic galaxy ellipticies and finite fields/missing data, th…

astro-ph.CO2020★ 1 cited

Probabilistic Mapping of Dark Matter by Neural Score Matching

Benjamin Remy, Francois Lanusse, Zaccharie Ramzi +3

The Dark Matter present in the Large-Scale Structure of the Universe is invisible, but its presence can be inferred through the small gravitational lensing effect it has on the ima…