Angshul Majumdar

DeepAI AI Chat

Featured Co-authors

Richa Singh
53 publications
Mayank Vatsa
47 publications
Emilie Chouzenoux
31 publications
Brojeshwar Bhowmick
26 publications
Maneet Singh
17 publications
Giovanni Chierchia
13 publications
Shruti Nagpal
13 publications
Shikha Singh
12 publications
Afzel Noore
10 publications
Richa Verma
10 publications
Hemant Kumar Aggarwal
8 publications

research

∙ 10/19/2022

Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction

Co-administration of two or more drugs simultaneously can result in adve...

0 Stuti Jain, et al. ∙

research

∙ 11/27/2021

Transformed K-means Clustering

In this work we propose a clustering framework based on the paradigm of ...

0 Anurag Goel, et al. ∙

research

∙ 11/27/2021

Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification

Subspace clustering techniques have shown promise in hyperspectral image...

0 Anurag Goel, et al. ∙

research

∙ 11/09/2020

SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems

This work proposes a supervised multi-channel time-series learning frame...

0 Pooja Gupta, et al. ∙

research

∙ 11/09/2020

DeConFuse : A Deep Convolutional Transform based Unsupervised Fusion Framework

This work proposes an unsupervised fusion framework based on deep convol...

0 Pooja Gupta, et al. ∙

research

∙ 11/09/2020

ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis

This work addresses the problem of analyzing multi-channel time series d...

0 Pooja Gupta, et al. ∙

research

∙ 10/02/2020

Deep Convolutional Transform Learning – Extended version

This work introduces a new unsupervised representation learning techniqu...

0 Jyoti Maggu, et al. ∙

research

∙ 12/11/2019

RODEO: Robust DE-aliasing autoencOder for Real-time Medical Image Reconstruction

In this work we address the problem of real-time dynamic medical MRI and...

18 Janki Mehta, et al. ∙

research

∙ 12/11/2019

Balancing Accuracy and Diversity in Recommendations using Matrix Completion Framework

Design of recommender systems aimed at achieving high prediction accurac...

0 Anupriya Gogna, et al. ∙

research

∙ 12/11/2019

Multi-echo Reconstruction from Partial K-space Scans via Adaptively Learnt Basis

In multi echo imaging, multiple T1/T2 weighted images of the same cross ...

0 Jyoti Maggu, et al. ∙

research

∙ 12/11/2019

Simultaneous Detection of Multiple Appliances from Smart-meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning

Currently there are several well-known approaches to non-intrusive appli...

0 Vanika Singhal, et al. ∙

research

∙ 12/11/2019

Blind Denoising Autoencoder

The term blind denoising refers to the fact that the basis used for deno...

0 Angshul Majumdar, et al. ∙

research

∙ 12/11/2019

Recurrent Transform Learning

The objective of this work is to improve the accuracy of building demand...

0 Megha Gupta, et al. ∙

research

∙ 12/11/2019

Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification

This work follows the approach of multi-label classification for non-int...

0 Shikha Singh, et al. ∙

research

∙ 12/10/2019

Deep Latent Factor Model for Collaborative Filtering

Latent factor models have been used widely in collaborative filtering ba...

0 Aanchal Mongia, et al. ∙

research

∙ 12/10/2019

Transformed Subspace Clustering

Subspace clustering assumes that the data is sepa-rable into separate su...

0 Jyoti Maggu, et al. ∙

research

∙ 12/10/2019

Reconstructing Multi-echo Magnetic Resonance Images via Structured Deep Dictionary Learning

Multi-echo magnetic resonance (MR) images are acquired by changing the e...

21 Vanika Singhal, et al. ∙

research

∙ 10/17/2019

Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring

Increasing population indicates that energy demands need to be managed i...

0 Sagar Verma, et al. ∙

research

∙ 10/17/2019

Collaborative Filtering with Label Consistent Restricted Boltzmann Machine

The possibility of employing restricted Boltzmann machine (RBM) for coll...

0 Sagar Verma, et al. ∙

research

∙ 12/24/2018

Motion Blur removal via Coupled Autoencoder

In this paper a joint optimization technique has been proposed for coupl...

0 Kavya Gupta, et al. ∙

research

∙ 12/24/2018

Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals

This work addresses the problem of reconstructing biomedical signals fro...

0 Kavya Gupta, et al. ∙

research

∙ 05/27/2018

Hierarchical Representation Learning for Kinship Verification

Kinship verification has a number of applications such as organizing lar...

0 Naman Kohli, et al. ∙

research

∙ 02/22/2018

MagnifyMe: Aiding Cross Resolution Face Recognition via Identity Aware Synthesis

Enhancing low resolution images via super-resolution or image synthesis ...

0 Maneet Singh, et al. ∙

research

∙ 01/07/2018

Indian Regional Movie Dataset for Recommender Systems

Indian regional movie dataset is the first database of regional Indian m...

0 Prerna Agarwal, et al. ∙

research

∙ 10/09/2017

Face Sketch Matching via Coupled Deep Transform Learning

Face sketch to digital image matching is an important challenge of face ...

0 Shruti Nagpal, et al. ∙

research

∙ 10/08/2017

Gender and Ethnicity Classification of Iris Images using Deep Class-Encoder

Soft biometric modalities have shown their utility in different applicat...

0 Maneet Singh, et al. ∙

research

∙ 12/22/2016

How to Train Your Deep Neural Network with Dictionary Learning

Currently there are two predominant ways to train deep neural networks. ...

0 Vanika Singhal, et al. ∙

research

∙ 12/22/2016

Deep Blind Compressed Sensing

This work addresses the problem of extracting deeply learned features di...

0 Shikha Singh, et al. ∙

research

∙ 01/31/2016

Greedy Deep Dictionary Learning

In this work we propose a new deep learning tool called deep dictionary ...

0 Snigdha Tariyal, et al. ∙

research

∙ 12/24/2015

Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-linear Measurements

This work addresses the problem of estimating proton density and T1 maps...

0 Anupriya Gogna, et al. ∙

research

∙ 03/22/2015

Real-time Dynamic MRI Reconstruction using Stacked Denoising Autoencoder

In this work we address the problem of real-time dynamic MRI reconstruct...

0 Angshul Majumdar, et al. ∙

research

∙ 01/10/2014

Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors

The Kaczmarz algorithm is popular for iteratively solving an overdetermi...

0 Hemant Kumar Aggarwal, et al. ∙