Search Results for author: Arun Pandey

Found 8 papers, 3 papers with code

Duality in Multi-View Restricted Kernel Machines

2 code implementations26 May 2023 Sonny Achten, Arun Pandey, Hannes De Meulemeester, Bart De Moor, Johan A. K. Suykens

We propose a unifying setting that combines existing restricted kernel machine methods into a single primal-dual multi-view framework for kernel principal component analysis in both supervised and unsupervised settings.

Time Series

Multi-view Kernel PCA for Time series Forecasting

no code implementations24 Jan 2023 Arun Pandey, Hannes De Meulemeester, Bart De Moor, Johan A. K. Suykens

In this paper, we propose a kernel principal component analysis model for multi-variate time series forecasting, where the training and prediction schemes are derived from the multi-view formulation of Restricted Kernel Machines.

Time Series Time Series Forecasting

Disentangled Representation Learning and Generation with Manifold Optimization

no code implementations12 Jun 2020 Arun Pandey, Michael Fanuel, Joachim Schreurs, Johan A. K. Suykens

Our analysis shows that such a construction promotes disentanglement by matching the principal directions in the latent space with the directions of orthogonal variation in data space.

Disentanglement Stochastic Optimization

Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality

no code implementations4 Feb 2020 Arun Pandey, Joachim Schreurs, Johan A. K. Suykens

Experiments show that the weighted RKM is capable of generating clean images when contamination is present in the training data.

Generative Restricted Kernel Machines

no code implementations25 Sep 2019 Arun Pandey, Joachim Schreurs, Johan A.K. Suykens

We introduce a novel framework for generative models based on Restricted Kernel Machines (RKMs) with multi-view generation and uncorrelated feature learning capabilities, called Gen-RKM.

Generative Restricted Kernel Machines: A Framework for Multi-view Generation and Disentangled Feature Learning

no code implementations19 Jun 2019 Arun Pandey, Joachim Schreurs, Johan A. K. Suykens

This paper introduces a novel framework for generative models based on Restricted Kernel Machines (RKMs) with joint multi-view generation and uncorrelated feature learning, called Gen-RKM.

Social Interaction in the Flickr Social Network

1 code implementation30 Aug 2015 Karthik Gopalakrishnan, Arun Pandey, Joydeep Chandra

Online social networking sites such as Facebook, Twitter and Flickr are among the most popular sites on the Web, providing platforms for sharing information and interacting with a large number of people.

Social and Information Networks C.4; H.3.5; J.4

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