Subhroshekhar Ghosh | DeepAI

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Featured Co-authors

Jonathan Scarlett
65 publications
Krishnakumar Balasubramanian
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David J. Nott
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Jun Han
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Rémi Bardenet
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Zhaoqiang Liu
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Soumendu Sundar Mukherjee
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Sanjay Chaudhuri
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Yong Sheng Soh
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Meixia Lin
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Jiulong Liu
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∙ 05/31/2023

Dictionary Learning under Symmetries via Group Representations

The dictionary learning problem can be viewed as a data-driven process t...

0 Subhroshekhar Ghosh, et al. ∙

∙ 03/18/2022

Generative Principal Component Analysis

In this paper, we study the problem of principal component analysis with...

0 Zhaoqiang Liu, et al. ∙

∙ 01/20/2022

Learning with latent group sparsity via heat flow dynamics on networks

Group or cluster structure on explanatory variables in machine learning ...

0 Subhroshekhar Ghosh, et al. ∙

∙ 08/08/2021

Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors

In 1-bit compressive sensing, each measurement is quantized to a single ...

0 Zhaoqiang Liu, et al. ∙

∙ 06/29/2021

Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors

Compressive phase retrieval is a popular variant of the standard compres...

0 Zhaoqiang Liu, et al. ∙

∙ 05/06/2021

Estimation and inference of signals via the stochastic geometry of spectrogram level sets

Spectrograms are fundamental tools in the detection, estimation and anal...

0 Subhroshekhar Ghosh, et al. ∙

∙ 11/12/2020

On a Variational Approximation based Empirical Likelihood ABC Method

Many scientifically well-motivated statistical models in natural, engine...

0 Sanjay Chaudhuri, et al. ∙

∙ 08/07/2020

Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos

We propose a novel stochastic network model, called Fractal Gaussian Net...

0 Subhroshekhar Ghosh, et al. ∙

∙ 07/08/2020

Learning from DPPs via Sampling: Beyond HKPV and symmetry

Determinantal point processes (DPPs) have become a significant tool for ...

0 Rémi Bardenet, et al. ∙

∙ 02/17/2020

Transmission and navigation on disordered lattice networks, directed spanning forests and scaling limits

Stochastic networks based on random point sets as nodes have attracted c...

0 Subhroshekhar Ghosh, et al. ∙

∙ 10/03/2018

An easy-to-use empirical likelihood ABC method

Many scientifically well-motivated statistical models in natural, engine...

0 Sanjay Chaudhuri, et al. ∙

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