1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization
Sam Buchanan, Jingkai Yan, Ellie Haber +1
Achieving invariance to nuisance transformations is a fundamental challenge in the construction of robust and reliable vision systems. Existing approaches to invariance scale expon…
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…
math.OC2018
Efficient Dictionary Learning with Gradient Descent
Dar Gilboa, Sam Buchanan, John Wright
Randomly initialized first-order optimization algorithms are the method of choice for solving many high-dimensional nonconvex problems in machine learning, yet general theoretical…