372 citations · 1.7k across the 44 of their papers we have counts for
10 papers · 1 filter
pmwd: A Differentiable Cosmological Particle-Mesh -body Library
Yin Li, Libin Lu, Chirag Modi +7
The formation of the large-scale structure, the evolution and distribution of galaxies, quasars, and dark matter on cosmological scales, requires numerical simulations. Differentia…
Emulating cosmological growth functions with B-Splines
Ngai Pok Kwan, Chirag Modi, Yin Li +1
In the light of GPU accelerations, sequential operations such as solving ordinary differential equations can be bottlenecks for gradient evaluations and hinder potential speed gain…
Differentiable Stochastic Halo Occupation Distribution
Benjamin Horowitz, ChangHoon Hahn, Francois Lanusse +2
In this work, we demonstrate how differentiable stochastic sampling techniques developed in the context of deep Reinforcement Learning can be used to perform efficient parameter in…
Differentiable Cosmological Simulation with Adjoint Method
Yin Li, Chirag Modi, Drew Jamieson +5
Rapid advances in deep learning have brought not only myriad powerful neural networks, but also breakthroughs that benefit established scientific research. In particular, automatic…
: A Forward Modeling Approach To Analyzing Galaxy Clustering
ChangHoon Hahn, Michael Eickenberg, Shirley Ho +7
We present the first-ever cosmological constraints from a simulation-based inference (SBI) analysis of galaxy clustering from the new forward modeling…
: Mock Challenge for a Forward Modeling Approach to Galaxy Clustering
ChangHoon Hahn, Michael Eickenberg, Shirley Ho +7
Simulation-Based Inference of Galaxies () is a forward modeling framework for analyzing galaxy clustering using simulation-based inference. In this work…