1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Revisiting the Necessity of Graph Learning and Common Graph Benchmarks
Isay Katsman, Ethan Lou, Anna Gilbert
Graph machine learning has enjoyed a meteoric rise in popularity since the introduction of deep learning in graph contexts. This is no surprise due to the ubiquity of graph data in…
cs.LG2024
Sketching the Heat Kernel: Using Gaussian Processes to Embed Data
Anna C. Gilbert, Kevin O'Neill
This paper introduces a novel, non-deterministic method for embedding data in low-dimensional Euclidean space based on computing realizations of a Gaussian process depending on the…
cs.IT2014★ 1 cited
Sparse Approximation, List Decoding, and Uncertainty Principles
Mahmoud Abo Khamis, Anna C. Gilbert, Hung Q. Ngo +1
We consider list versions of sparse approximation problems, where unlike the existing results in sparse approximation that consider situations with unique solutions, we are interes…