283 citations · 2.8k across the 43 of their papers we have counts for
3 papers · 1 filter
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization
Shiyu Wang, Mariam Avagyan, Yihan Shen +5
Learned denoisers play a fundamental role in various signal generation (e.g., diffusion models) and reconstruction (e.g., compressed sensing) architectures, whose success derives f…
TpopT: Efficient Trainable Template Optimization on Low-Dimensional Manifolds
Jingkai Yan, Shiyu Wang, Xinyu Rain Wei +4
In scientific and engineering scenarios, a recurring task is the detection of low-dimensional families of signals or patterns. A classic family of approaches, exemplified by templa…
Architectural Optimization and Feature Learning for High-Dimensional Time Series Datasets
Robert E. Colgan, Jingkai Yan, Zsuzsa Márka +3
As our ability to sense increases, we are experiencing a transition from data-poor problems, in which the central issue is a lack of relevant data, to data-rich problems, in which…