7 citations · 16 across the 13 of their papers we have counts for
4 papers · 1 filter
Multi-Dictionary Learning for Low Rank Sparse Coding
Boya Ma, Abram Magner, Maxwell McNeil +1
Sparse dictionary coding represents signals as linear combinations of a few dictionary atoms. It has been applied to images, time series, graph signals and multi-way spatio-tempora…
Low Rank Multi-Dictionary Selection at Scale
Boya Ma, Maxwell McNeil, Abram Magner +1
The sparse dictionary coding framework represents signals as a linear combination of a few predefined dictionary atoms. It has been employed for images, time series, graph signals…
Symmetry Discovery Beyond Affine Transformations
Ben Shaw, Abram Magner, Kevin R. Moon
Symmetry detection can improve various machine learning tasks. In the context of continuous symmetry detection, current state of the art experiments are limited to detecting affine…
Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures
Sepideh Neshatfar, Abram Magner, Salimeh Yasaei Sekeh
Graph summarization is the problem of producing smaller graph representations of an input graph dataset, in such a way that the smaller compressed graphs capture relevant structura…