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05/31/2023
Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning
Self-supervised methods received tremendous attention thanks to their se...
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05/26/2023
Unsupervised Embedding Quality Evaluation
Unsupervised learning has recently significantly gained in popularity, e...
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09/22/2021
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks
In safety-critical machine learning applications, it is crucial to defen...
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06/10/2021
GRASP: Graph Alignment through Spectral Signatures
What is the best way to match the nodes of two graphs? This graph alignm...
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06/08/2020
FREDE: Linear-Space Anytime Graph Embeddings
Low-dimensional representations, or embeddings, of a graph's nodes facil...
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03/03/2020
Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs
Graph comparison is a fundamental operation in data mining and informati...
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05/27/2019
Intrinsic Multi-scale Evaluation of Generative Models
Generative models are often used to sample high-dimensional data points ...
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02/11/2018
