A MLP Classifier for Both Printed and Handwritten Bangla Numeral Recognition. - Angshul Majumdar; B. B. Chaudhuri 001 (ICVGIP, 2006)

Curvelet-Based Multi SVM Recognizer for Offline Handwritten Bangla: A Major Indian Script. - Angshul Majumdar; B. B. Chaudhuri 001 (ICDAR, 2007)

Face Recognition by Curvelet Based Feature Extraction. - Tanaya Mandal; Angshul Majumdar; Q. M. Jonathan Wu (ICIAR, 2007)

Face Recognition by Multiresolution Contourlet Transform on Bit Quantized Facial Images. - Angshul Majumdar; S. Ray; A. Bhattacharya (IICAI, 2007)

Pseudo-Fisherface method for single image per person face recognition. - Angshul Majumdar; Rabab K. Ward (ICASSP, 2008)

Single image per person face recognition with images synthesized by non-linear approximation. - Angshul Majumdar; Rabab K. Ward (ICIP, 2008)

Frontal Face Recognition from Video. - Angshul Majumdar; Panos Nasiopoulos (ISVC (2), 2008)

Discriminative SIFT features for face recognition. - Angshul Majumdar; Rabab Kreidieh Ward (CCECE, 2009)

Classification by Linearity Assumption. - Angshul Majumdar; A. Bhattacharya (ICAPR, 2009)

Classification via group sparsity promoting regularization. - Angshul Majumdar; Rabab K. Ward (ICASSP, 2009)

A comparative study in wavelets, curvelets and contourlets as feature sets for pattern recognition. - Angshul Majumdar; Arusharka Bhattacharya (Int. Arab J. Inf. Technol., 2009)

Image compression by sparse PCA coding in curvelet domain. - Angshul Majumdar (Signal Image Video Process., 2009)

A Matrix Completion Approach to Reduce Energy Consumption in Wireless Sensor Networks. - Angshul Majumdar; Rabab Kreidieh Ward (DCC, 2010)

Non-convex group sparsity: Application to color imaging. - Angshul Majumdar; Rabab Kreidieh Ward (ICASSP, 2010)

Compressive color imaging with group-sparsity on analysis prior. - Angshul Majumdar; Rabab Kreidieh Ward (ICIP, 2010)

Under-Determined Non-cartesian MR Reconstruction with Non-convex Sparsity Promoting Analysis Prior. - Angshul Majumdar; Rabab K. Ward (MICCAI (3), 2010)

Improved Group Sparse Classifier. - Angshul Majumdar; Rabab K. Ward (Pattern Recognit. Lett., 2010)

Compressed sensing of color images. - Angshul Majumdar; Rabab K. Ward (Signal Process., 2010)

Robust Classifiers for Data Reduced via Random Projections. - Angshul Majumdar; Rabab K. Ward (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Compressed sensing based MR image reconstruction from multiple partial K-space scans. - Angshul Majumdar; Rabab K. Ward (SiPS, 2011)

Increasing energy efficiency in sensor networks: blue noise sampling and non-convex matrix completion. - Angshul Majumdar; Rabab K. Ward (Int. J. Sens. Networks, 2011)

Some empirical advances in matrix completion. - Angshul Majumdar; Rabab Kreidieh Ward (Signal Process., 2011)

Face recognition from video: An MMV recovery approach. - Angshul Majumdar; Rabab K. Ward (ICASSP, 2012)

Synthesis and analysis prior algorithms for joint-sparse recovery. - Angshul Majumdar; Rabab Kreidieh Ward (ICASSP, 2012)

A focuss based method for low rank matrix recovery. - Angshul Majumdar; Rabab Kreidieh Ward; Tyseer Aboulnasr (ICIP, 2012)

Algorithms to Approximately Solve NP Hard Row-Sparse MMV Recovery Problem: Application to Compressive Color Imaging. - Angshul Majumdar; Rabab K. Ward; Tyseer Aboulnasr (IEEE J. Emerg. Sel. Topics Circuits Syst., 2012)

On the choice of Compressed Sensing priors and sparsifying transforms for MR image reconstruction: An experimental study. - Angshul Majumdar; Rabab K. Ward (Signal Process. Image Commun., 2012)

FOCUSS Based Schatten-p Norm Minimization for Real-Time Reconstruction of Dynamic Contrast Enhanced MRI. - Angshul Majumdar (IEEE Signal Process. Lett., 2012)

Compressed Sensing Based Real-Time Dynamic MRI Reconstruction. - Angshul Majumdar; Rabab K. Ward; Tyseer Aboulnasr (IEEE Trans. Medical Imaging, 2012)

Non-linear sparse and group sparse classifier. - Angshul Majumdar; Rabab K. Ward (CCECE, 2013)

Exploiting rank deficiency for MR image reconstruction from multiple partial K-space scans. - Angshul Majumdar; Rabab K. Ward (CCECE, 2013)

Focuss algorithm for rank aware row-sparse MMV recovery. - Angshul Majumdar; Rabab K. Ward; Tyseer Aboulnasr (EUSIPCO, 2013)

Generalized Non-linear Sparse Classifier. - Angshul Majumdar; Rabab K. Ward; Tyseer Aboulnasr (EUSIPCO, 2013)

Exploiting sparsity and rank-deficiency in dynamic MRI reconstruction. - Angshul Majumdar; Rabab K. Ward (ICASSP, 2013)

Dynamic CT Reconstruction by Smoothed Rank Minimization. - Angshul Majumdar; Rabab K. Ward (MICCAI (3), 2013)

Erratum: Dynamic CT Reconstruction by Smoothed Rank Minimization. - Angshul Majumdar; Rabab K. Ward (MICCAI (3), 2013)

Multi-spectral demosaicing technique for single-sensor imaging. - Hemant Kumar Aggarwal; Angshul Majumdar (NCVPRIPG, 2013)

Gabor based analysis prior formulation for EEG signal reconstruction. - Mir Mohsina; Angshul Majumdar (Biomed. Signal Process. Control., 2013)

Calibrationless Parallel Magnetic Resonance Imaging: A Joint Sparsity Model. - Angshul Majumdar; Kunal Narayan Chaudhury; Rabab K. Ward (Sensors, 2013)

Rank Awareness in Group-Sparse Recovery of Multi-Echo MR Images. - Angshul Majumdar; Rabab K. Ward (Sensors, 2013)

Compressive sensing multi-spectral demosaicing from single sensor architecture. - Hemant Kumar Aggarwal; Angshul Majumdar (ChinaSIP, 2014)

Distributed Elastic Net Regularized Blind Compressive Sensing for Recommender System Design. - Anupriya Gogna; Angshul Majumdar (COMAD, 2014)

Energy efficient acquisition and reconstruction of EEG signals. - Wazir Singh; Ankita Shukla; Sujay Deb; Angshul Majumdar (EMBC, 2014)

Metadata based recommender systems. - Paritosh Mittal; Aishwarya Jain; Angshul Majumdar (ICACCI, 2014)

Accelerating low-rank matrix completion on GPUs. - Achal Shah; Angshul Majumdar (ICACCI, 2014)

Improved MRI reconstruction via non-convex elastic net. - Angshul Majumdar; Rabab K. Ward (ICASSP, 2014)

Parallelizing sparse recovery algorithms: A stochastic approach. - Achal Shah; Angshul Majumdar (DSP, 2014)

Split Bregman algorithms for sparse / joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging. - Anupriya Gogna; Ankita Shukla; Hemant Kumar Aggarwal; Angshul Majumdar (ICIP, 2014)

Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors. - Hemant Kumar Aggarwal; Angshul Majumdar (ICPR, 2014)

Matrix Recovery Using Split Bregman. - Anupriya Gogna; Ankita Shukla; Angshul Majumdar (ICPR, 2014)

Generalized Synthesis and Analysis Prior Algorithms with Application to Impulse Denoising. - Hemant Kumar Aggarwal; Angshul Majumdar (ICVGIP, 2014)

Single-sensor multi-spectral image demosaicing algorithm using learned interpolation weights. - Hemant Kumar Aggarwal; Angshul Majumdar (IGARSS, 2014)

Non linear sparse recovery algorithm. - Pallavi Das; Mansi Jain; Angshul Majumdar (ISSPIT, 2014)

A Blind Compressed Sensing formulation for collaborative filtering. - Anuj Rajani; Paritosh Mittal; Aishwarya Jain; Angshul Majumdar (ISSPIT, 2014)

Sparse recovery on GPUs: Accelerating the Iterative Soft-Thresholding Algorithm. - Achal Shah; Angshul Majumdar (ISSPIT, 2014)

Non-convex row-sparse multiple measurement vector analysis prior formulation for EEG signal reconstruction. - Angshul Majumdar; Rabab K. Ward (Biomed. Signal Process. Control., 2014)

A Low-Rank Matrix Recovery Approach for Energy Efficient EEG Acquisition for a Wireless Body Area Network. - Angshul Majumdar; Anupriya Gogna; Rabab K. Ward (Sensors, 2014)

Multi-spectral demosaicing: A joint-sparse elastic-net formulation. - Hemant Kumar Aggarwal; Angshul Majumdar (ICAPR, 2015)

SVD free matrix completion with online bias correction for Recommender systems. - Anupriya Gogna; Angshul Majumdar (ICAPR, 2015)

Scale-rotation invariant features from Non-Subsampled Contourlets. - Angshul Majumdar (ICAPR, 2015)

A Kronecker Compressed Sensing formulation for energy efficient EEG sensing. - Ankita Shukla; Angshul Majumdar; Rabab K. Ward (ICAPR, 2015)

Hyper-spectral impulse denoising: A row-sparse Blind Compressed Sensing formulation. - Angshul Majumdar; Naushad Ansari; Hemant Kumar Aggarwal (ICASSP, 2015)

Combining sparsity with rank-deficiency for energy efficient EEG sensing and transmission over Wireless Body Area Network. - Angshul Majumdar; Ankita Shukla; Rabab K. Ward (ICASSP, 2015)

Learning the sparsity basis in low-rank plus sparse model for dynamic MRI reconstruction. - Angshul Majumdar; Rabab K. Ward (ICASSP, 2015)

Low-rank matrix recovery from non-linear observations. - Protim Bhattacharjee; Prerna Khurana; Angshul Majumdar (DSP, 2015)

Matrix factorization model using Kacmarz algorithm: Application in sensor localization. - Anupriya Gogna; Angshul Majumdar (DSP, 2015)

Frontal face recognition from video via rank-aware multiple measurement vector recovery. - Angshul Majumdar (DSP, 2015)

Discriminative label consistent dictionary learning. - Angshul Majumdar (ICIP, 2015)

Learning space-time dictionaries for blind compressed sensing dynamic MRI reconstruction. - Angshul Majumdar; Rabab Kreidieh Ward (ICIP, 2015)

Mixed Gaussian and impulse denoising of hyperspectral images. - Hemant Kumar Aggarwal; Angshul Majumdar (IGARSS, 2015)

Blind compressive hyper-spectral imaging. - Hemant Kumar Aggarwal; Angshul Majumdar (IGARSS, 2015)

Blind hyperspectral denoising. - Hemant Kumar Aggarwal; Angshul Majumdar (NCVPRIPG, 2015)

Compressive hyper-spectral imaging in the presence of impulse noise. - Hemant Kumar Aggarwal; Snigdha Tariyal; Angshul Majumdar (WHISPERS, 2015)

Hyperspectral impulse denoising with sparse and low-rank penalties. - Snigdha Tariyal; Hemant Kumar Aggarwal; Angshul Majumdar (WHISPERS, 2015)

A Comprehensive Recommender System Model: Improving Accuracy for Both Warm and Cold Start Users. - Anupriya Gogna; Angshul Majumdar (IEEE Access, 2015)

Energy efficient EEG sensing and transmission for wireless body area networks: A blind compressed sensing approach. - Angshul Majumdar; Rabab K. Ward (Biomed. Signal Process. Control., 2015)

Exploiting inter-channel correlation in EEG signal reconstruction. - Ankita Shukla; Angshul Majumdar (Biomed. Signal Process. Control., 2015)

Row-sparse blind compressed sensing for reconstructing multi-channel EEG signals. - Ankita Shukla; Angshul Majumdar (Biomed. Signal Process. Control., 2015)

Blind Compressive Sensing Framework for Collaborative Filtering. - Anupriya Gogna; Angshul Majumdar (CoRR, 2015)

Real-time Dynamic MRI Reconstruction using Stacked Denoising Autoencoder. - Angshul Majumdar (CoRR, 2015)

Matrix completion incorporating auxiliary information for recommender system design. - Anupriya Gogna; Angshul Majumdar (Expert Syst. Appl., 2015)

Exploiting spatiospectral correlation for impulse denoising in hyperspectral images. - Hemant Kumar Aggarwal; Angshul Majumdar (J. Electronic Imaging, 2015)

High-resolution radar imaging of moving humans using doppler processing and compressed sensing. - Shobha Sundar Ram; Angshul Majumdar (IEEE Trans. Aerosp. Electron. Syst., 2015)

Supervised Learning in Matrix Completion Framework for Recommender System Design. - Anupriya Gogna; Angshul Majumdar (COMAD, 2016)

Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-Linear Measurements. - Anupriya Gogna; Angshul Majumdar (DCC, 2016)

Analysis and Synthesis Prior Greedy Algorithms for Non-linear Sparse Recovery. - Kavya Gupta; Ankita Raj; Angshul Majumdar (DCC, 2016)

Nuclear norm regularized robust dictionary learning for energy disaggregation. - Megha Gupta; Angshul Majumdar (EUSIPCO, 2016)

A sparse regression based approach for cuff-less blood pressure measurement. - Monika Jain; Niranjan Kumar; Sujay Deb; Angshul Majumdar (ICASSP, 2016)

Robust dictionary learning: Application to signal disaggregation. - Angshul Majumdar; Rabab Kreidieh Ward (ICASSP, 2016)

Low rank group sparse representation based classifier for pose variation. - Shivangi Yadav; Maneet Singh; Mayank Vatsa; Richa Singh 001; Angshul Majumdar (ICIP, 2016)

Semi Supervised Autoencoder. - Anupriya Gogna; Angshul Majumdar (ICONIP (2), 2016)

Kernel L1-Minimization: Application to Kernel Sparse Representation Based Classification. - Anupriya Gogna; Angshul Majumdar (ICONIP (2), 2016)

Nuclear Norm Regularized Randomized Neural Network. - Anupriya Gogna; Angshul Majumdar (ICONIP (2), 2016)

Stacked Robust Autoencoder for Classification. - Janki Mehta; Kavya Gupta; Anupriya Gogna; Angshul Majumdar; Saket Anand (ICONIP (3), 2016)

Deep Dictionary Learning vs Deep Belief Network vs Stacked Autoencoder: An Empirical Analysis. - Vanika Singhal; Anupriya Gogna; Angshul Majumdar (ICONIP (4), 2016)

Alternate formulation for transform learning. - Jyoti Maggu; Angshul Majumdar (ICVGIP, 2016)

Compressive hyper-spectral imaging in the presence of real noise. - Hemant Kumar Aggarwal; Angshul Majumdar (IGARSS, 2016)

Robust estimation for subspace based classifiers. - Hemant Kumar Aggarwal; Angshul Majumdar (IJCNN, 2016)

Sparsely connected autoencoder. - Kavya Gupta; Angshul Majumdar (IJCNN, 2016)

Class-wise deep dictionaries for EEG classification. - Prerna Khurana; Angshul Majumdar; Rabab Kreidieh Ward (IJCNN, 2016)

Real-time reconstruction of EEG signals from compressive measurements via deep learning. - Angshul Majumdar; Rabab Kreidieh Ward (IJCNN, 2016)

Sparse filtering based hyperspectral unmixing. - Hemant Kumar Aggarwal; Angshul Majumdar (WHISPERS, 2016)

Greedy deep dictionary learning for hyperspectral image classification. - Snigdha Tariyal; Hemant Kumar Aggarwal; Angshul Majumdar (WHISPERS, 2016)

Deep Dictionary Learning. - Snigdha Tariyal; Angshul Majumdar; Richa Singh 001; Mayank Vatsa (IEEE Access, 2016)

How to Train Your Deep Neural Network with Dictionary Learning. - Vanika Singhal; Shikha Singh 001; Angshul Majumdar (CoRR, 2016)

Greedy Deep Dictionary Learning. - Snigdha Tariyal; Angshul Majumdar; Richa Singh 001; Mayank Vatsa (CoRR, 2016)

Group sparse representation based classification for multi-feature multimodal biometrics. - Gaurav Goswami; Paritosh Mittal; Angshul Majumdar; Mayank Vatsa; Richa Singh 001 (Inf. Fusion, 2016)

Removing sparse noise from hyperspectral images with sparse and low-rank penalties. - Snigdha Tariyal; Hemant Kumar Aggarwal; Angshul Majumdar (J. Electronic Imaging, 2016)

Hyperspectral Image Denoising Using Spatio-Spectral Total Variation. - Hemant Kumar Aggarwal; Angshul Majumdar (IEEE Geosci. Remote. Sens. Lett., 2016)

Impulse denoising for hyper-spectral images: A blind compressed sensing approach. - Angshul Majumdar; Naushad Ansari; Hemant Kumar Aggarwal; Pravesh Biyani (Signal Process., 2016)

Hyperspectral Unmixing in the Presence of Mixed Noise Using Joint-Sparsity and Total Variation. - Hemant Kumar Aggarwal; Angshul Majumdar (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Supervised Analysis Dictionary Learning: Application in Consumer Electronics Appliance Classification. - Protim Bhattacharjee; Shisagnee Banerjee; Manoj Gulati; Angshul Majumdar; Shobha Sundar Ram (CODS, 2017)

Noisy Deep Dictionary Learning. - Vanika Singhal; Angshul Majumdar (CODS, 2017)

Deep Blind Compressed Sensing. - Shikha Singh 001; Vanika Singhal; Angshul Majumdar (DCC, 2017)

How to Train Your Neural Network with Dictionary Learning. - Vanika Singhal; Shikha Singh 001; Angshul Majumdar (DCC, 2017)

Impulse denoising via transform learning. - Jyoti Maggu; Ramy Hussein; Angshul Majumdar; Rabab K. Ward (GlobalSIP, 2017)

Joint-sparse dictionary learning: Denoising multiple measurement vectors. - Prerna Singh; Ramy Hussein; Angshul Majumdar; Rabab K. Ward (GlobalSIP, 2017)

Collaborative Filtering with Label Consistent Restricted Boltzmann Machine. - Sagar Verma; Prince Patel; Angshul Majumdar (ICAPR, 2017)

Robust transform learning. - Jyoti Maggu; Angshul Majumdar (ICASSP, 2017)

Gender and ethnicity classification of Iris images using deep class-encoder. - Maneet Singh; Shruti Nagpal; Mayank Vatsa; Richa Singh 001; Afzel Noore; Angshul Majumdar (IJCB, 2017)

Face Sketch Matching via Coupled Deep Transform Learning. - Shruti Nagpal; Maneet Singh; Richa Singh 001; Mayank Vatsa; Afzel Noore; Angshul Majumdar (ICCV, 2017)

Motion blur removal via coupled autoencoder. - Kavya Gupta; Brojeshwar Bhowmick; Angshul Majumdar (ICIP, 2017)

Learning autoencoders with low-rank weights. - Kavya Gupta; Angshul Majumdar (ICIP, 2017)

Greedy deep transform learning. - Jyoti Maggu; Angshul Majumdar (ICIP, 2017)

Kernel group sparse representation based classifier for multimodal biometrics. - Gaurav Goswami; Richa Singh 001; Mayank Vatsa; Angshul Majumdar (IJCNN, 2017)

Cold-start, warm-start and everything in between: An autoencoder based approach to recommendation. - Angshul Majumdar; Anant Jain (IJCNN, 2017)

Noisy deep dictionary learning: Application to Alzheimer's Disease classification. - Angshul Majumdar; Vanika Singhal (IJCNN, 2017)

Asymmetric stacked autoencoder. - Angshul Majumdar; Aditay Tripathi (IJCNN, 2017)

Robust greedy deep dictionary learning for ECG arrhythmia classification. - Angshul Majumdar; Rabab Kreidieh Ward (IJCNN, 2017)

Class-wise deep dictionary learning. - Vanika Singhal; Prerna Khurana; Angshul Majumdar (IJCNN, 2017)

Energy efficient EEG acquisition and reconstruction for a Wireless Body Area Network. - Wazir Singh; Ankita Shukla; Sujay Deb; Angshul Majumdar (Integr., 2017)

DiABlO: Optimization based design for improving diversity in recommender system. - Anupriya Gogna; Angshul Majumdar (Inf. Sci., 2017)

Group sparse autoencoder. - Anush Sankaran; Mayank Vatsa; Richa Singh 001; Angshul Majumdar (Image Vis. Comput., 2017)

Balancing accuracy and diversity in recommendations using matrix completion framework. - Anupriya Gogna; Angshul Majumdar (Knowl. Based Syst., 2017)

Face Verification via Class Sparsity Based Supervised Encoding. - Angshul Majumdar; Richa Singh 001; Mayank Vatsa (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

RODEO: Robust DE-aliasing autoencOder for real-time medical image reconstruction. - Janki Mehta; Angshul Majumdar (Pattern Recognit., 2017)

Class sparsity signature based Restricted Boltzmann Machine. - Anush Sankaran; Gaurav Goswami; Mayank Vatsa; Richa Singh 001; Angshul Majumdar (Pattern Recognit., 2017)

Kernel transform learning. - Jyoti Maggu; Angshul Majumdar (Pattern Recognit. Lett., 2017)

Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals. - Anupriya Gogna; Angshul Majumdar; Rabab Kreidieh Ward (IEEE Trans. Biomed. Eng., 2017)

Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification. - Vanika Singhal; Hemant Kumar Aggarwal; Snigdha Tariyal; Angshul Majumdar (IEEE Trans. Geosci. Remote. Sens., 2017)

Detecting Silicone Mask-Based Presentation Attack via Deep Dictionary Learning. - Ishan Manjani; Snigdha Tariyal; Mayank Vatsa; Richa Singh 001; Angshul Majumdar (IEEE Trans. Inf. Forensics Secur., 2017)

Hierarchical Representation Learning for Kinship Verification. - Naman Kohli; Mayank Vatsa; Richa Singh 001; Afzel Noore; Angshul Majumdar (IEEE Trans. Image Process., 2017)

Identity Aware Synthesis for Cross Resolution Face Recognition. - Maneet Singh; Shruti Nagpal; Mayank Vatsa; Richa Singh 001; Angshul Majumdar (CVPR Workshops, 2018)

Transformed Locally Linear Manifold Clustering. - Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux (EUSIPCO, 2018)

Machine Load Estimation Via Stacked Autoencoder Regression. - Tulika Bose; Angshul Majumdar; Tanushyam Chattopadhyay (ICASSP, 2018)

Regressing Kernel Dictionary Learning. - Kriti Kumar; Angshul Majumdar; M. Girish Chandra; Achanna Anil Kumar (ICASSP, 2018)

Unsupervised Deep Transform Learning. - Jyoti Maggu; Angshul Majumdar (ICASSP, 2018)

Discriminative Autoencoder. - Angshuman Paul; Angshul Majumdar; Dipti Prasad Mukherjee (ICIP, 2018)

Adaptive Deep Dictionary Learning for MRI Reconstruction. - D. John Lewis; Vanika Singhal; Angshul Majumdar (ICONIP (1), 2018)

Convolutional Transform Learning. - Jyoti Maggu; Emilie Chouzenoux; Giovanni Chierchia; Angshul Majumdar (ICONIP (3), 2018)

Semi-coupled Transform Learning. - Jyoti Maggu; Angshul Majumdar (ICONIP (3), 2018)

Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals. - Kavya Gupta; Brojeshwar Bhowmick; Angshul Majumdar (IJCNN, 2018)

Robust Supervised Sparse Coding for Non-Intrusive Load Monitoring. - Megha Gupta; Angshul Majumdar (IJCNN, 2018)

Doubly Label Consistent Autoencoder: Accounting User and Item Metadata in Recommender Systems. - Shantanu Jain; Angshul Majumdar (IJCNN, 2018)

Hierarchical Autoencoder for Collaborative Filtering. - Shubham Maheshwari; Angshul Majumdar (IJCNN, 2018)

Multi-spectral missing label prediction via restoration using deep residual dictionary learning. - Karthik Seemakurthy; Jayavardhana Gubbi; Shailesh S. Deshpande; Balamuralidhar Purushothaman; Angshul Majumdar (IJCNN, 2018)

Supervised Deep Dictionary Learning for Single Label and Multi-Label Classification. - Vanika Singhal; Angshul Majumdar (IJCNN, 2018)

Disaggregating Transform Learning for Non-Intrusive Load Monitoring. - Megha Gaur; Angshul Majumdar (IEEE Access, 2018)

Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements. - Vanika Singhal; Angshul Majumdar; Rabab K. Ward (IEEE Access, 2018)

Correction to "Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements". - Vanika Singhal; Angshul Majumdar; Rabab K. Ward (IEEE Access, 2018)

Indian Regional Movie Dataset for Recommender Systems. - Prerna Agarwal; Richa Verma; Angshul Majumdar (CoRR, 2018)

MagnifyMe: Aiding Cross Resolution Face Recognition via Identity Aware Synthesis. - Maneet Singh; Shruti Nagpal; Richa Singh 001; Mayank Vatsa; Angshul Majumdar (CoRR, 2018)

Graph structured autoencoder. - Angshul Majumdar (Neural Networks, 2018)

Imposing Class-Wise Feature Similarity in Stacked Autoencoders by Nuclear Norm Regularization. - Kavya Gupta; Angshul Majumdar (Neural Process. Lett., 2018)

Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning. - Vanika Singhal; Angshul Majumdar (Neural Process. Lett., 2018)

Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification. - Vanika Singhal; Angshul Majumdar (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Single Point Conducted EMI Sensor With Intelligent Inference for Detecting IT Appliances. - Manoj Gulati; Shobha Sundar Ram; Angshul Majumdar; Amarjeet Singh 001 (IEEE Trans. Smart Grid, 2018)

Deep Sparse Coding for Non-Intrusive Load Monitoring. - Shikha Singh 001; Angshul Majumdar (IEEE Trans. Smart Grid, 2018)

Deeply Coupled Graph Structured Autoencoder for Domain Adaptation. - Angshul Majumdar (COMAD/CODS, 2019)

Deep Latent Factor Model for Predicting Drug Target Interactions. - Aanchal Mongia; Vidit Jain; Emilie Chouzenoux; Angshul Majumdar (ICASSP, 2019)

Multi Label Restricted Boltzmann Machine for Non-intrusive Load Monitoring. - Sagar Verma; Shikha Singh 001; Angshul Majumdar (ICASSP, 2019)

Supervised Kernel Transform Learning. - Jyoti Maggu; Angshul Majumdar (IJCNN, 2019)

Age and Gender Estimation via Deep Dictionary Learning Regression. - Vanika Singhal; Angshul Majumdar (IJCNN, 2019)

Siamese Deep Dictionary Learning. - Vanika Singhal; Angshul Majumdar; Mayank Vatsa; Richa Singh 001 (IJCNN, 2019)

Transform Learning Based Function Approximation for Regression and Forecasting. - Kriti Kumar; Angshul Majumdar; M. Girish Chandra; Achanna Anil Kumar (AALTD@PKDD/ECML, 2019)

Performance Evaluation of Techniques for Identifying Abnormal Energy Consumption in Buildings. - Megha Gaur; Stephen Makonin; Ivan V. Bajic; Angshul Majumdar (IEEE Access, 2019)

Solving Inverse Problems in Imaging via Deep Dictionary Learning. - D. John Lewis; Vanika Singhal; Angshul Majumdar (IEEE Access, 2019)

Multi-echo Reconstruction from Partial K-space Scans via Adaptively Learnt Basis. - Jyoti Maggu; Prerna Singh; Angshul Majumdar (CoRR, 2019)

Online single and multiple analysis dictionary learning-based approach for visual object tracking. - Divya Sitani; A. Venkata Subramanyam; Angshul Majumdar (J. Electronic Imaging, 2019)

Label-Consistent Transform Learning for Hyperspectral Image Classification. - Jyoti Maggu; Hemant Kumar Aggarwal; Angshul Majumdar (IEEE Geosci. Remote. Sens. Lett., 2019)

Recurrent transform learning. - Angshul Majumdar; Megha Gupta (Neural Networks, 2019)

Discriminative Autoencoder for Feature Extraction: Application to Character Recognition. - Anupriya Gogna; Angshul Majumdar (Neural Process. Lett., 2019)

Matrix completion on multiple graphs: Application in collaborative filtering. - Aanchal Mongia; Angshul Majumdar (Signal Process., 2019)

Blind Denoising Autoencoder. - Angshul Majumdar (IEEE Trans. Neural Networks Learn. Syst., 2019)

Analysis Co-Sparse Coding for Energy Disaggregation. - Shikha Singh 001; Angshul Majumdar (IEEE Trans. Smart Grid, 2019)

Simultaneous Detection of Multiple Appliances From Smart-Meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning. - Vanika Singhal; Jyoti Maggu; Angshul Majumdar (IEEE Trans. Smart Grid, 2019)

ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis. - Pooja Gupta; Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (EUSIPCO, 2020)

Deep Transform Learning for Multi-Sensor Fusion. - Saurabh Sahu; Kriti Kumar; Angshul Majumdar; M. Girish Chandra (EUSIPCO, 2020)

Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring. - Shikha Singh 001; Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (ICASSP, 2020)

Deep Matrix Completion on Graphs: Application in Drug Target Interaction Prediction. - Aanchal Mongia; Angshul Majumdar (ICASSP, 2020)

Instant Adaptive Learning: An Adaptive Filter Based Fast Learning Model Construction for Sensor Signal Time Series Classification on Edge Devices. - Arpan Pal 001; Arijit Ukil; Trisrota Deb; Ishan Sahu; Angshul Majumdar (ICASSP, 2020)

Deep Convolutional Transform Learning. - Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (ICONIP (5), 2020)

Deep Matrix Factorization on Graphs: Application to Collaborative Filtering. - Aanchal Mongia; Vidit Jain; Angshul Majumdar (ICONIP (4), 2020)

Cluster Aware Deep Dictionary Learning for Single Cell Analysis. - Priyadarshini Rai; Angshul Majumdar; Debarka Sengupta (ICONIP (5), 2020)

Multi-Label Auto-Encoder based Electrical Load Disaggregation. - Spoorthy Paresh; Naveen Kumar Thokala; Angshul Majumdar; M. Girish Chandra (IJCNN, 2020)

Compressive Non-Intrusive Load Monitoring. - Shikha Singh 001; Angshul Majumdar; Stephen Makonin (BuildSys, 2020)

Deep Convolutional Transform Learning - Extended version. - Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (CoRR, 2020)

DeConFuse: a deep convolutional transform-based unsupervised fusion framework. - Pooja Gupta; Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (EURASIP J. Adv. Signal Process., 2020)

Reconstructing multi-echo magnetic resonance images via structured deep dictionary learning. - Vanika Singhal; Angshul Majumdar (Neurocomputing, 2020)

deepMc: Deep Matrix Completion for Imputation of Single-Cell RNA-seq Data. - Aanchal Mongia; Debarka Sengupta; Angshul Majumdar (J. Comput. Biol., 2020)

Graph transform learning. - Angshul Majumdar (Neural Networks, 2020)

A domain adaptation approach to solve inverse problems in imaging via coupled deep dictionary learning. - Vanika Singhal; Angshul Majumdar (Pattern Recognit., 2020)

Deeply transformed subspace clustering. - Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (Signal Process., 2020)

Deep latent factor model for collaborative filtering. - Aanchal Mongia; Neha Jhamb; Emilie Chouzenoux; Angshul Majumdar (Signal Process., 2020)

Non-Intrusive Load Monitoring via Multi-Label Sparse Representation-Based Classification. - Shikha Singh 001; Angshul Majumdar (IEEE Trans. Smart Grid, 2020)

Resource Constrained CVD Classification Using Single Lead ECG On Wearable and Implantable Devices. - Arijit Ukil; Ishan Sahu; Angshul Majumdar; Sai Chander Racha; Gitesh Kulkarni; Anirban Dutta Choudhury; Sundeep Khandelwal; Avik Ghose; Arpan Pal 001 (EMBC, 2021)

Multi-Sensor Fusion Framework using Discriminative Autoencoders. - Arup Kumar Das; Kriti Kumar; Angshul Majumdar; Saurabh Sahu; M. Girish Chandra (EUSIPCO, 2021)

Transformed K-means Clustering. - Anurag Goel; Angshul Majumdar (EUSIPCO, 2021)

Joint Coupled Transform Learning Framework for Multimodal Image Super-Resolution. - Andrew Gigie; Achanna Anil Kumar; Angshul Majumdar; Kriti Kumar; M. Girish Chandra (ICASSP, 2021)

Clustering Friendly Dictionary Learning. - Anurag Goel; Angshul Majumdar (ICONIP (1), 2021)

AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework. - Kriti Kumar; Saurabh Sahu; Angshul Majumdar; M. Girish Chandra (IJCNN, 2021)

Compressing Deep Neural Network: A Black-Box System Identification Approach. - Ishan Sahu; Arpan Pal 001; Arijit Ukil; Angshul Majumdar (IJCNN, 2021)

Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter. - Snehil Dahiya; Shalini Sharma; Dhruv Sahnan; Vasu Goel; Emilie Chouzenoux; Víctor Elvira; Angshul Majumdar; Anil Bandhakavi; Tanmoy Chakraborty 002 (KDD, 2021)

SuperDeConFuse: A supervised deep convolutional transform based fusion framework for financial trading systems. - Pooja Gupta; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (Expert Syst. Appl., 2021)

Matrix completion on learnt graphs: Application to collaborative filtering. - Aanchal Mongia; Angshul Majumdar (Expert Syst. Appl., 2021)

Recurrent dictionary learning for state-space models with an application in stock forecasting. - Shalini Sharma; Víctor Elvira; Emilie Chouzenoux; Angshul Majumdar (Neurocomputing, 2021)

Kernelized Linear Autoencoder. - Angshul Majumdar (Neural Process. Lett., 2021)

Sequential Transform Learning. - Shalini Sharma; Angshul Majumdar (ACM Trans. Knowl. Discov. Data, 2021)

Transformed Subspace Clustering. - Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux (IEEE Trans. Knowl. Data Eng., 2021)

Phaseless Passive Synthetic Aperture Imaging with Regularized Wirtinger Flow. - K. Aditi; Achanna Anil Kumar; Angshul Majumdar; Tapas Chakravarty; Kriti Kumar (EUSIPCO, 2022)

Multi-modal Image Super-resolution with Joint Coupled Deep Transform Learning. - R. Krishna Kanth; Andrew Gigie; Kriti Kumar; Achanna Anil Kumar; Angshul Majumdar; Balamuralidhar P (EUSIPCO, 2022)

Transductive Inversion via Deep Transform Learning. - Jyoti Maggu; Shalini Sharma; Angshul Majumdar (EUSIPCO, 2022)

Iterative Re-weighted Least Squares Algorithms for Non-negative Sparse and Group-sparse Recovery. - Angshul Majumdar (ICASSP, 2022)

DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems. - Kriti Kumar; Angshul Majumdar; M. Girish Chandra (ICDM (Workshops), 2022)

Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification. - Shikha Singh 001; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (ICIP, 2022)

Deep Convolutional K-Means Clustering. - Anurag Goel; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (ICIP, 2022)

Phaseless FMCW Multistatic Radar. - K. Aditi; Achanna Anil Kumar; Angshul Majumdar; R. Krishna Kanth; Tapas Chakravarty; Kriti Kumar; Arpan Pal 001 (IEEE SENSORS, 2022)

CycleGAN Based Unsupervised Domain Adaptation for Machine Fault Diagnosis. - Naibedya Pattnaik; Uday Sai Vemula; Kriti Kumar; Achanna Anil Kumar; Angshul Majumdar; M. Girish Chandra; Arpan Pal 001 (SenSys, 2022)

Binary matrix completion on graphs: Application to collaborative filtering. - Divyanshu Talwar; Aanchal Mongia; Emilie Chouzenoux; Angshul Majumdar (Digit. Signal Process., 2022)

Deep state space model for predicting cryptocurrency price. - Shalini Sharma; Angshul Majumdar (Inf. Sci., 2022)

DeepVir: Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning - Application to COVID-19. - Aanchal Mongia; Stuti Jain; Emilie Chouzenoux; Angshul Majumdar (J. Comput. Biol., 2022)

Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification. - Anurag Goel; Angshul Majumdar (IEEE Geosci. Remote. Sens. Lett., 2022)

K-Means Embedded Deep Transform Learning for Hyperspectral Band Selection. - Anurag Goel; Angshul Majumdar (IEEE Geosci. Remote. Sens. Lett., 2022)

Solving inverse problems with autoencoders on learnt graphs. - Angshul Majumdar (Signal Process., 2022)

Computational Prediction of Drug-Disease Association Based on Graph-Regularized One Bit Matrix Completion. - Aanchal Mongia; Emilie Chouzenoux; Angshul Majumdar (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

SelfE: Gene Selection via Self-Expression for Single-Cell Data. - Priyadarshini Rai; Debarka Sengupta; Angshul Majumdar (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Trainingless Energy Disaggregation Without Plug-Level Sensing. - Angshul Majumdar (IEEE Trans. Instrum. Meas., 2022)

Disaggregating a New Appliance On-the-Fly Without Data Acquisition and Retraining. - Angshul Majumdar (IEEE Trans. Instrum. Meas., 2022)

Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring. - Shikha Singh 001; Emilie Chouzenoux; Giovanni Chierchia; Angshul Majumdar (ACM Trans. Knowl. Discov. Data, 2022)

Multi-Label Deep Blind Compressed Sensing for Low-Frequency Non-Intrusive Load Monitoring. - Shikha Singh 001; Angshul Majumdar (IEEE Trans. Smart Grid, 2022)

Transform Based Subspace Interpolation for Unsupervised Domain Adaptation Applied to Machine Inspection. - Kriti Kumar; Angshul Majumdar; Achanna Anil Kumar; M. Girish Chandra (EUSIPCO, 2023)

Label-Consistent Convolutional Dictionary Learning for Machine Inspection. - Saurabh Sahu; Kriti Kumar; Angshul Majumdar; Achanna Anil Kumar; M. Girish Chandra (EUSIPCO, 2023)

Unsupervised Domain Adaptation via Subspace Interpolating Deep Dictionary Learning: A Case Study in Machine Inspection. - Kriti Kumar; Angshul Majumdar; Achanna Anil Kumar; M. Girish Chandra (ICASSP, 2023)

Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition. - Davide Cozzolino; Koki Nagano; Lucas A. Thomaz; Angshul Majumdar; Luisa Verdoliva (CoRR, 2023)

Deep State-Space Model for Predicting Cryptocurrency Price. - Shalini Sharma; Angshul Majumdar; Emilie Chouzenoux; Victor Elvira (CoRR, 2023)

Kernelized transformed subspace clustering with geometric weights for non-linear manifolds. - Jyoti Maggu; Angshul Majumdar (Neurocomputing, 2023)

Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction. - Stuti Jain; Emilie Chouzenoux; Kriti Kumar; Angshul Majumdar (IEEE J. Biomed. Health Informatics, 2023)

Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions]. - Davide Salvi; Clara Borrelli; Paolo Bestagini; Fabio Antonacci; Matthew C. Stamm; Lucio Marcenaro; Angshul Majumdar (IEEE Signal Process. Mag., 2023)

DeConDFFuse : Predicting drug-drug interaction using joint deep convolutional transform learning and decision forest fusion framework. - Pooja Gupta; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (Expert Syst. Appl., 2023)

Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition [SP Competitions]. - Davide Cozzolino; Koki Nagano; Lucas A. Thomaz; Angshul Majumdar; Luisa Verdoliva (IEEE Signal Process. Mag., 2023)

Multi-Modal Image Super-Resolution via Deep Convolutional Transform Learning. - Kriti Kumar; Angshul Majumdar; Achanna Anil Kumar; M. Girish Chandra (EUSIPCO, 2024)

Deep Neural Network Model Compression and Signal Processing. - Arijit Ukil; Angshul Majumdar; Antonio J. Jara; João Gama 001 (ICASSP Workshops, 2024)

Structured Lottery Ticket Hypothesis for Effective Deep Neural Network Model Size Reduction. - Arijit Ukil; Ishan Sahu; Mridul Biswas; Arpan Pal 001; Angshul Majumdar (ICASSP Workshops, 2024)

Semi-Supervised Graphical Deep Dictionary Learning for Hyperspectral Image Classification From Limited Samples. - Anurag Goel; Angshul Majumdar (ICIP, 2024)

Contrastive deep convolutional transform k-means clustering. - Anurag Goel; Angshul Majumdar (Inf. Sci., 2024)

DeConFCluster: Deep Convolutional Transform Learning based multiview clustering fusion framework. - Pooja Gupta; Anurag Goel; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (Signal Process., 2024)

Corrigendum to "Deep state-space model for predicting cryptocurrency price" [Inform. Sci. 618 (2022) 417-433]. - Shalini Sharma; Angshul Majumdar (Inf. Sci., 2024)

Sparse subspace clustering incorporated deep convolutional transform learning for hyperspectral band selection. - Anurag Goel; Angshul Majumdar (Earth Sci. Informatics, 2024)

Ophthalmic Biomarker Detection: Highlights From the IEEE Video and Image Processing Cup 2023 Student Competition [SP Competitions]. - Ghassan AlRegib; Mohit Prabhushankar; Kiran Kokilepersaud; Prithwijit Chowdhury; Zoe Fowler; Stephanie Trejo Corona; Lucas A. Thomaz; Angshul Majumdar (IEEE Signal Process. Mag., 2024)

Exact Rotation Invariant Robust PCA. - Tanmoy Jana; Nikhil Raghav; Angshul Majumdar; Md. Sahidullah (ICASSP, 2025)