activity
20182022
most citedpmwd: A Differentiable Cosmological Particle-Mesh -body Library

15 citations · 22 across the 4 of their papers we have counts for

collaborators

9 papers

astro-ph.IM202215 cited

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…

cs.IT2021

Compressed sensing in the presence of speckle noise

Wenda Zhou, Shirin Jalali, Arian Maleki

The problem of recovering a structured signal from its linear measurements in the presence of speckle noise is studied. This problem appears in many imaging systems such as synthet…

stat.ML20206 cited

Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions

Kamiar Rahnama Rad, Wenda Zhou, Arian Maleki

We study the problem of out-of-sample risk estimation in the high dimensional regime where both the sample size and number of features are large, and can be less than…

cs.LG2019

Discrete Object Generation with Reversible Inductive Construction

Ari Seff, Wenda Zhou, Farhan Damani +2

The success of generative modeling in continuous domains has led to a surge of interest in generating discrete data such as molecules, source code, and graphs. However, constructio…

cs.IT20191 cited

Denoising of structured random processes

Wenda Zhou, Shirin Jalali

Denoising stationary process corrupted by additive white Gaussian noise is a classic and fundamental problem in information theory and statistical signal processi…

cs.LG2018

Approximate Leave-One-Out for High-Dimensional Non-Differentiable Learning Problems

Shuaiwen Wang, Wenda Zhou, Arian Maleki +2

Consider the following class of learning schemes: \begin{equation} \label{eq:main-problem1} \hat{\boldsymbolβ} := \underset{\boldsymbolβ \in \mathcal{C}}{\arg\min} \;\sum_{j=1}^n \…