research
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04/27/2021
Text Generation with Deep Variational GAN
Generating realistic sequences is a central task in many machine learnin...
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research
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04/27/2021
Improved and Efficient Text Adversarial Attacks using Target Information
There has been recently a growing interest in studying adversarial examp...
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02/28/2021
Topic Modelling Meets Deep Neural Networks: A Survey
Topic modelling has been a successful technique for text analysis for al...
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08/12/2020
Neural Sinkhorn Topic Model
In this paper, we present a new topic modelling approach via the theory ...
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04/16/2020
OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation
One of the challenging problems in sequence generation tasks is the opti...
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10/10/2019
On Scalable Variant of Wasserstein Barycenter
We study a variant of Wasserstein barycenter problem, which we refer to ...
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09/19/2019
On Efficient Multilevel Clustering via Wasserstein Distances
We propose a novel approach to the problem of multilevel clustering, whi...
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10/29/2018
Probabilistic Multilevel Clustering via Composite Transportation Distance
We propose a novel probabilistic approach to multilevel clustering probl...
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06/13/2017
