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03/01/2022
Towards IID representation learning and its application on biomedical data
Due to the heterogeneity of real-world data, the widely accepted indepen...
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01/15/2022
Automated causal inference in application to randomized controlled clinical trials
Randomized controlled trials (RCTs) are considered as the gold standard ...
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10/23/2019
Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement
This paper introduces a divide-and-conquer inspired adversarial learning...
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04/10/2019
Sliced Wasserstein Generative Models
In generative modeling, the Wasserstein distance (WD) has emerged as a u...
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12/05/2017
Manifold-valued Image Generation with Wasserstein Adversarial Networks
Unsupervised image generation has recently received an increasing amount...
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12/04/2017
Energy-relaxed Wassertein GANs(EnergyWGAN): Towards More Stable and High Resolution Image Generation
Recently, generative adversarial networks (GANs) have achieved great imp...
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12/04/2017
Face Translation between Images and Videos using Identity-aware CycleGAN
This paper presents a new problem of unpaired face translation between i...
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06/08/2017
Generative Autotransporters
In this paper, we aim to introduce the classic Optimal Transport theory ...
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04/05/2017
On the Relation between Color Image Denoising and Classification
Large amount of image denoising literature focuses on single channel ima...
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11/17/2016
Building Deep Networks on Grassmann Manifolds
Learning representations on Grassmann manifolds is popular in quite a fe...
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07/26/2016