We present the first fully simulation-based hierarchical analysis of the light curves of a
population of low-redshift type Ia supernov aelig;(SN aelig; Ia). Our hardware-accelerated …

Persistent homology naturally addresses the multi-scale topological characteristics of the
large-scale structure as a distribution of clusters, loops, and voids. We apply this tool to the …

We present the first fully simulation-based hierarchical analysis of the light curves of a
population of low-redshift type Ia supernovae (SNae Ia). Our hardware-accelerated forward …

Scientific modeling and engineering applications rely heavily on parameter estimation
methods to fit physical models and calibrate numerical simulations using real-world …

Model misspecification analysis strategies, such as anomaly detection, model validation,
and model comparison are a key component of scientific model development. Over the last …

Simulation is an indispensable tool in both engineering and the sciences. In simulation-
based modeling, a parametric simulator is adopted as a mechanistic model of a physical …

We present Neural Quantile Estimation (NQE), a novel Simulation-Based Inference (SBI)
method based on conditional quantile regression. NQE autoregressively learns individual …

Kilonovae are a class of astronomical transients observed as counterparts to mergers of
compact binary systems, such as a binary neutron star (BNS) or black hole-neutron star …

The fundamental goal of the physical sciences is to understand the laws that govern
physical phenomena. This process inherently involves a continuous interplay between …