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07/07/2023
Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms
We analyze the convergence properties of Fermat distances, a family of d...
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06/05/2023
Linear Distance Metric Learning
In linear distance metric learning, we are given data in one Euclidean m...
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06/15/2022
Taxonomy of Benchmarks in Graph Representation Learning
Graph Neural Networks (GNNs) extend the success of neural networks to gr...
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10/27/2021
Towards a Taxonomy of Graph Learning Datasets
Graph neural networks (GNNs) have attracted much attention due to their ...
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07/02/2021
Unbiasing Procedures for Scale-invariant Multi-reference Alignment
This article discusses a generalization of the 1-dimensional multi-refer...
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12/17/2020
Balancing Geometry and Density: Path Distances on High-Dimensional Data
New geometric and computational analyses of power-weighted shortest-path...
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09/24/2019
Wavelet invariants for statistically robust multi-reference alignment
We propose a nonlinear, wavelet based signal representation that is tran...
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12/31/2018
An Analysis of Classical Multidimensional Scaling
Classical multidimensional scaling is an important tool for dimension re...
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12/17/2017
