research
∙
04/21/2023
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel
It is widely acknowledged that large models have the potential to delive...
share
research
∙
06/28/2020
PyTorch Distributed: Experiences on Accelerating Data Parallel Training
This paper presents the design, implementation, and evaluation of the Py...
research
∙
05/29/2019
Vector-Valued Graph Trend Filtering with Non-Convex Penalties
We study the denoising of piecewise smooth graph signals that exhibit in...
research
∙
09/26/2018
Sampling Theory for Graph Signals on Product Graphs
In this paper, we extend the sampling theory on graphs by constructing a...
research
∙
12/16/2015
Signal Representations on Graphs: Tools and Applications
We present a framework for representing and modeling data on graphs. Bas...
research
∙
04/21/2015
