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05/26/2023
Duality in Multi-View Restricted Kernel Machines
We propose a unifying setting that combines existing restricted kernel m...
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01/24/2023
Multi-view Kernel PCA for Time series Forecasting
In this paper, we propose a kernel principal component analysis model fo...
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02/16/2021
Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine
Detecting out-of-distribution (OOD) samples is an essential requirement ...
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06/12/2020
Disentangled Representation Learning and Generation with Manifold Optimization
Disentanglement is an enjoyable property in representation learning whic...
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02/04/2020
Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality
In the past decade, interest in generative models has grown tremendously...
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06/19/2019
