19 citations · 44 across the 5 of their papers we have counts for
5 papers
Learning the Exact Flux: Neural Riemann Solvers with Hard Constraints
Yucheng Zhang, Chayanon Wichitrnithed, Shukai Cai +3
Godunov-type methods, which obtain numerical fluxes through local Riemann problems at cell interfaces, are among the most fundamental and widely used numerical methods in computati…
A Hamiltonian, post-Born, three-dimensional, on-the-fly ray tracing algorithm for gravitational lensing
Alan Junzhe Zhou, Yin Li, Scott Dodelson +4
The analyses of the next generation cosmological surveys demand an accurate, efficient, and differentiable method for simulating the universe and its observables across cosmologica…
Characterizing the Conditional Galaxy Property Distribution using Gaussian Mixture Models
Yucheng Zhang, Anthony R. Pullen, Rachel S. Somerville +5
Line-intensity mapping (LIM) is a promising technique to constrain the global distribution of galaxy properties. To combine LIM experiments probing different tracers with tradition…
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…
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…