36 citations · 46 across the 4 of their papers we have counts for
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cs.LG2026
A Universal Nearest-Neighbor Estimator for Intrinsic Dimensionality
Eng-Jon Ong, Omer Bobrowski, Gesine Reinert +1
Estimating the intrinsic dimensionality (ID) of data is a fundamental problem in machine learning and computer vision, providing insight into the true degrees of freedom underlying…
cs.LG2021★ 1 cited
Understanding the Distributions of Aggregation Layers in Deep Neural Networks
Eng-Jon Ong, Sameed Husain, Miroslaw Bober
The process of aggregation is ubiquitous in almost all deep nets models. It functions as an important mechanism for consolidating deep features into a more compact representation,…