1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
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…
physics.ins-det2023
Machine Learning Assisted Vector Atomic Magnetometry
Xin Meng, Youwei Zhang, Xichang Zhang +6
We propose a novel paradigm to vector magnetometry based on machine learning. Unlike conventional schemes where one measured signal explicitly connects to one parameter, here we en…
stat.ML2021★ 1 cited
Deep Networks Provably Classify Data on Curves
Tingran Wang, Sam Buchanan, Dar Gilboa +1
Data with low-dimensional nonlinear structure are ubiquitous in engineering and scientific problems. We study a model problem with such structure -- a binary classification task th…