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About me

Posts

THE GEOMETRY OF DEEP GENERATIVE IMAGE MODELS AND ITS APPLICATIONS

Published:

This paper aims to make GAN inversion and interpretability possible. Through the lens of differential geometry, the authors propose that the metric tensor has various interpretability properties – by realising it as the Hessian matrix of the distance metric.

Score Based Generative Modeling Techniques

Published:

This report presents and summarizes the latest developments in Score based generative models – with a goal to enable better understanding of existing approaches, new sampling algorithms, exact likelihood computation and conditional generation abilties to the family of score based generative models.

portfolio

publications

Topo Sampler

Published in NeurIPS 2020 Workshop TDA and Beyond(Spotlight Award), 2020

A Topology Constrained Noise Sampling for GANs

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DARecNet-BS

Published in IEEE Geoscience and Remote Sensing Letters (3.833 Impact Factor), 2020

Unsupervised Dual Attention Reconstruction Network for Hyperspectral Band Selection.

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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.