9 citations · 32 across the 14 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.LG2019★ 2 cited
Neighborhood Growth Determines Geometric Priors for Relational Representation Learning
Melanie Weber
The problem of identifying geometric structure in heterogeneous, high-dimensional data is a cornerstone of representation learning. While there exists a large body of literature on…
math.OC2019★ 1 cited
Projection-free nonconvex stochastic optimization on Riemannian manifolds
Melanie Weber, Suvrit Sra
We study stochastic projection-free methods for constrained optimization of smooth functions on Riemannian manifolds, i.e., with additional constraints beyond the parameter domain…
cs.LG2019
The Oracle of DLphi
Dominik Alfke, Weston Baines, Jan Blechschmidt +24
We present a novel technique based on deep learning and set theory which yields exceptional classification and prediction results. Having access to a sufficiently large amount of l…