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08/26/2023
Out-of-distribution detection using normalizing flows on the data manifold
A common approach for out-of-distribution detection involves estimating ...
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06/07/2022
Joint Manifold Learning and Density Estimation Using Normalizing Flows
Based on the manifold hypothesis, real-world data often lie on a low-dim...
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08/02/2021
A Framework for Multi-View Classification of Features
One of the most important problems in the field of pattern recognition i...
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12/26/2018
Structure Learning of Sparse GGMs over Multiple Access Networks
A central machine is interested in estimating the underlying structure o...
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09/21/2018
Learning of Tree-Structured Gaussian Graphical Models on Distributed Data under Communication Constraints
In this paper, learning of tree-structured Gaussian graphical models fro...
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05/07/2017