3 papers
cs.AI2026
Competing with AI Scientists: Agent-Driven Approach to Astrophysics Research
Thomas Borrett, Licong Xu, Andy Nilipour +7
We present an agent-driven approach to the construction of parameter inference pipelines for scientific data analysis. Our method leverages a multi-agent system, Cmbagent (the anal…
astro-ph.IM2026
Bayesian imaging inverse problem with scattering transform
Sébastien Pierre, Erwan Allys, Pablo Richard +2
Bayesian imaging inverse problems in astrophysics and cosmology remain challenging, particularly in low-data regimes, due to complex forward operators and the frequent lack of well…
astro-ph.CO2025
Mitigating Model Misspecification in Simulation-Based Inference for Galaxy Clustering
Sébastien Pierre, Bruno Régaldo-Saint Blancard, ChangHoon Hahn +1
Simulation-based inference (SBI) has become an important tool in cosmology for extracting additional information from observational data using simulations. However, all cosmologica…