| 2025 | ICASSP | Exact Rotation Invariant Robust PCA. | Tanmoy Jana, Nikhil Raghav, Angshul Majumdar, Md. Sahidullah |
| 2025 | IJCNN | Kernelized Low-rank matrix recovery: Application in collaborative representation based classification. | Subhajit Saha, Angshul Majumdar, Swagatam Das, Avisek Gupta |
| 2024 | ICASSP | Deep Neural Network Model Compression and Signal Processing. | Arijit Ukil, Angshul Majumdar, Antonio J. Jara, Joo Gama |
| 2024 | ICASSP | Structured Lottery Ticket Hypothesis for Effective Deep Neural Network Model Size Reduction. | Arijit Ukil, Ishan Sahu, Mridul Biswas, Arpan Pal, Angshul Majumdar |
| 2024 | ICIP | Semi-Supervised Graphical Deep Dictionary Learning for Hyperspectral Image Classification From Limited Samples. | Anurag Goel, Angshul Majumdar |
| 2023 | ICASSP | 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 |
| 2022 | ICASSP | Iterative Re-weighted Least Squares Algorithms for Non-negative Sparse and Group-sparse Recovery. | Angshul Majumdar |
| 2022 | ICDM | DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems. | Kriti Kumar, Angshul Majumdar, M. Girish Chandra |
| 2022 | ICIP | Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification. | Shikha Singh, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia |
| 2022 | ICIP | Deep Convolutional K-Means Clustering. | Anurag Goel, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia |
| 2022 | SENSYS | 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 |
| 2021 | ICASSP | Joint Coupled Transform Learning Framework for Multimodal Image Super-Resolution. | Andrew Gigie, Achanna Anil Kumar, Angshul Majumdar, Kriti Kumar, M. Girish Chandra |
| 2021 | ICONIP | Clustering Friendly Dictionary Learning. | Anurag Goel, Angshul Majumdar |
| 2021 | IJCNN | AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework. | Kriti Kumar, Saurabh Sahu, Angshul Majumdar, M. Girish Chandra |
| 2021 | IJCNN | Compressing Deep Neural Network: A Black-Box System Identification Approach. | Ishan Sahu, Arpan Pal, Arijit Ukil, Angshul Majumdar |
| 2021 | KDD | 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, Vctor Elvira, Angshul Majumdar, Anil Bandhakavi, Tanmoy Chakraborty |
| 2020 | ICASSP | Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring. | Shikha Singh, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia |
| 2020 | ICASSP | Deep Matrix Completion on Graphs: Application in Drug Target Interaction Prediction. | Aanchal Mongia, Angshul Majumdar |
| 2020 | ICASSP | Instant Adaptive Learning: An Adaptive Filter Based Fast Learning Model Construction for Sensor Signal Time Series Classification on Edge Devices. | Arpan Pal, Arijit Ukil, Trisrota Deb, Ishan Sahu, Angshul Majumdar |
| 2020 | ICONIP | Deep Convolutional Transform Learning. | Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia |
| 2020 | ICONIP | Deep Matrix Factorization on Graphs: Application to Collaborative Filtering. | Aanchal Mongia, Vidit Jain, Angshul Majumdar |
| 2020 | ICONIP | Cluster Aware Deep Dictionary Learning for Single Cell Analysis. | Priyadarshini Rai, Angshul Majumdar, Debarka Sengupta |
| 2020 | IJCNN | Multi-Label Auto-Encoder based Electrical Load Disaggregation. | Spoorthy Paresh, Naveen Kumar Thokala, Angshul Majumdar, M. Girish Chandra |
| 2020 | SENSYS | Compressive Non-Intrusive Load Monitoring. | Shikha Singh, Angshul Majumdar, Stephen Makonin |
| 2019 | COMAD | Deeply Coupled Graph Structured Autoencoder for Domain Adaptation. | Angshul Majumdar |
| 2019 | ICASSP | Deep Latent Factor Model for Predicting Drug Target Interactions. | Aanchal Mongia, Vidit Jain, Emilie Chouzenoux, Angshul Majumdar |
| 2019 | ICASSP | Multi Label Restricted Boltzmann Machine for Non-intrusive Load Monitoring. | Sagar Verma, Shikha Singh, Angshul Majumdar |
| 2019 | IJCNN | Supervised Kernel Transform Learning. | Jyoti Maggu, Angshul Majumdar |
| 2019 | IJCNN | Age and Gender Estimation via Deep Dictionary Learning Regression. | Vanika Singhal, Angshul Majumdar |
| 2019 | IJCNN | Siamese Deep Dictionary Learning. | Vanika Singhal, Angshul Majumdar, Mayank Vatsa, Richa Singh |
| 2018 | CVPR | Identity Aware Synthesis for Cross Resolution Face Recognition. | Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Angshul Majumdar |
| 2018 | ICASSP | Machine Load Estimation Via Stacked Autoencoder Regression. | Tulika Bose, Angshul Majumdar, Tanushyam Chattopadhyay |
| 2018 | ICASSP | Regressing Kernel Dictionary Learning. | Kriti Kumar, Angshul Majumdar, M. Girish Chandra, Achanna Anil Kumar |
| 2018 | ICASSP | Unsupervised Deep Transform Learning. | Jyoti Maggu, Angshul Majumdar |
| 2018 | ICIP | Discriminative Autoencoder. | Angshuman Paul, Angshul Majumdar, Dipti Prasad Mukherjee |
| 2018 | ICONIP | Adaptive Deep Dictionary Learning for MRI Reconstruction. | D. John Lewis, Vanika Singhal, Angshul Majumdar |
| 2018 | ICONIP | Convolutional Transform Learning. | Jyoti Maggu, Emilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar |
| 2018 | ICONIP | Semi-coupled Transform Learning. | Jyoti Maggu, Angshul Majumdar |
| 2018 | IJCNN | Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals. | Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar |
| 2018 | IJCNN | Robust Supervised Sparse Coding for Non-Intrusive Load Monitoring. | Megha Gupta, Angshul Majumdar |
| 2018 | IJCNN | Doubly Label Consistent Autoencoder: Accounting User and Item Metadata in Recommender Systems. | Shantanu Jain, Angshul Majumdar |
| 2018 | IJCNN | Hierarchical Autoencoder for Collaborative Filtering. | Shubham Maheshwari, Angshul Majumdar |
| 2018 | IJCNN | Multi-spectral missing label prediction via restoration using deep residual dictionary learning. | Karthik Seemakurthy, Jayavardhana Gubbi, Shailesh S. Deshpande, Balamuralidhar Purushothaman, Angshul Majumdar |
| 2018 | IJCNN | Supervised Deep Dictionary Learning for Single Label and Multi-Label Classification. | Vanika Singhal, Angshul Majumdar |
| 2017 | DCC | How to Train Your Neural Network with Dictionary Learning. | Vanika Singhal, Shikha Singh, Angshul Majumdar |
| 2017 | DCC | Deep Blind Compressed Sensing. | Shikha Singh, Vanika Singhal, Angshul Majumdar |
| 2017 | ICASSP | Robust transform learning. | Jyoti Maggu, Angshul Majumdar |
| 2017 | ICCV | Face Sketch Matching via Coupled Deep Transform Learning. | Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa, Afzel Noore, Angshul Majumdar |
| 2017 | ICIP | Motion blur removal via coupled autoencoder. | Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar |
| 2017 | ICIP | Learning autoencoders with low-rank weights. | Kavya Gupta, Angshul Majumdar |
| 2017 | ICIP | Greedy deep transform learning. | Jyoti Maggu, Angshul Majumdar |
| 2017 | IJCNN | Kernel group sparse representation based classifier for multimodal biometrics. | Gaurav Goswami, Richa Singh, Mayank Vatsa, Angshul Majumdar |
| 2017 | IJCNN | Cold-start, warm-start and everything in between: An autoencoder based approach to recommendation. | Angshul Majumdar, Anant Jain |
| 2017 | IJCNN | Noisy deep dictionary learning: Application to Alzheimer's Disease classification. | Angshul Majumdar, Vanika Singhal |
| 2017 | IJCNN | Asymmetric stacked autoencoder. | Angshul Majumdar, Aditay Tripathi |
| 2017 | IJCNN | Robust greedy deep dictionary learning for ECG arrhythmia classification. | Angshul Majumdar, Rabab Kreidieh Ward |
| 2017 | IJCNN | Class-wise deep dictionary learning. | Vanika Singhal, Prerna Khurana, Angshul Majumdar |
| 2016 | COMAD | Supervised Learning in Matrix Completion Framework for Recommender System Design. | Anupriya Gogna, Angshul Majumdar |
| 2016 | DCC | Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-Linear Measurements. | Anupriya Gogna, Angshul Majumdar |
| 2016 | DCC | Analysis and Synthesis Prior Greedy Algorithms for Non-linear Sparse Recovery. | Kavya Gupta, Ankita Raj, Angshul Majumdar |
| 2016 | ICASSP | A sparse regression based approach for cuff-less blood pressure measurement. | Monika Jain, Niranjan Kumar, Sujay Deb, Angshul Majumdar |
| 2016 | ICASSP | Robust dictionary learning: Application to signal disaggregation. | Angshul Majumdar, Rabab Kreidieh Ward |
| 2016 | ICIP | Low rank group sparse representation based classifier for pose variation. | Shivangi Yadav, Maneet Singh, Mayank Vatsa, Richa Singh, Angshul Majumdar |
| 2016 | ICONIP | Semi Supervised Autoencoder. | Anupriya Gogna, Angshul Majumdar |
| 2016 | ICONIP | Kernel L1-Minimization: Application to Kernel Sparse Representation Based Classification. | Anupriya Gogna, Angshul Majumdar |
| 2016 | ICONIP | Nuclear Norm Regularized Randomized Neural Network. | Anupriya Gogna, Angshul Majumdar |
| 2016 | ICONIP | Stacked Robust Autoencoder for Classification. | Janki Mehta, Kavya Gupta, Anupriya Gogna, Angshul Majumdar, Saket Anand |
| 2016 | ICONIP | Deep Dictionary Learning vs Deep Belief Network vs Stacked Autoencoder: An Empirical Analysis. | Vanika Singhal, Anupriya Gogna, Angshul Majumdar |
| 2016 | IJCNN | Robust estimation for subspace based classifiers. | Hemant Kumar Aggarwal, Angshul Majumdar |
| 2016 | IJCNN | Sparsely connected autoencoder. | Kavya Gupta, Angshul Majumdar |
| 2016 | IJCNN | Class-wise deep dictionaries for EEG classification. | Prerna Khurana, Angshul Majumdar, Rabab Kreidieh Ward |
| 2016 | IJCNN | Real-time reconstruction of EEG signals from compressive measurements via deep learning. | Angshul Majumdar, Rabab Kreidieh Ward |
| 2016 | IGARSS | Compressive hyper-spectral imaging in the presence of real noise. | Hemant Kumar Aggarwal, Angshul Majumdar |
| 2015 | ICASSP | Hyper-spectral impulse denoising: A row-sparse Blind Compressed Sensing formulation. | Angshul Majumdar, Naushad Ansari, Hemant Kumar Aggarwal |
| 2015 | ICASSP | Combining sparsity with rank-deficiency for energy efficient EEG sensing and transmission over Wireless Body Area Network. | Angshul Majumdar, Ankita Shukla, Rabab K. Ward |
| 2015 | ICASSP | Learning the sparsity basis in low-rank plus sparse model for dynamic MRI reconstruction. | Angshul Majumdar, Rabab K. Ward |
| 2015 | ICIP | Discriminative label consistent dictionary learning. | Angshul Majumdar |
| 2015 | ICIP | Learning space-time dictionaries for blind compressed sensing dynamic MRI reconstruction. | Angshul Majumdar, Rabab Kreidieh Ward |
| 2015 | IGARSS | Mixed Gaussian and impulse denoising of hyperspectral images. | Hemant Kumar Aggarwal, Angshul Majumdar |
| 2015 | IGARSS | Blind compressive hyper-spectral imaging. | Hemant Kumar Aggarwal, Angshul Majumdar |
| 2014 | COMAD | Distributed Elastic Net Regularized Blind Compressive Sensing for Recommender System Design. | Anupriya Gogna, Angshul Majumdar |
| 2014 | ICASSP | Improved MRI reconstruction via non-convex elastic net. | Angshul Majumdar, Rabab K. Ward |
| 2014 | ICIP | 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 |
| 2014 | ICPR | Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors. | Hemant Kumar Aggarwal, Angshul Majumdar |
| 2014 | ICPR | Matrix Recovery Using Split Bregman. | Anupriya Gogna, Ankita Shukla, Angshul Majumdar |
| 2014 | IGARSS | Single-sensor multi-spectral image demosaicing algorithm using learned interpolation weights. | Hemant Kumar Aggarwal, Angshul Majumdar |
| 2013 | ICASSP | Exploiting sparsity and rank-deficiency in dynamic MRI reconstruction. | Angshul Majumdar, Rabab K. Ward |
| 2013 | MICCAI | Dynamic CT Reconstruction by Smoothed Rank Minimization. | Angshul Majumdar, Rabab K. Ward |
| 2013 | MICCAI | Erratum: Dynamic CT Reconstruction by Smoothed Rank Minimization. | Angshul Majumdar, Rabab K. Ward |
| 2012 | ICASSP | Face recognition from video: An MMV recovery approach. | Angshul Majumdar, Rabab K. Ward |
| 2012 | ICASSP | Synthesis and analysis prior algorithms for joint-sparse recovery. | Angshul Majumdar, Rabab Kreidieh Ward |
| 2012 | ICIP | A focuss based method for low rank matrix recovery. | Angshul Majumdar, Rabab Kreidieh Ward, Tyseer Aboulnasr |
| 2010 | DCC | A Matrix Completion Approach to Reduce Energy Consumption in Wireless Sensor Networks. | Angshul Majumdar, Rabab Kreidieh Ward |
| 2010 | ICASSP | Non-convex group sparsity: Application to color imaging. | Angshul Majumdar, Rabab Kreidieh Ward |
| 2010 | ICIP | Compressive color imaging with group-sparsity on analysis prior. | Angshul Majumdar, Rabab Kreidieh Ward |
| 2010 | MICCAI | Under-Determined Non-cartesian MR Reconstruction with Non-convex Sparsity Promoting Analysis Prior. | Angshul Majumdar, Rabab K. Ward |
| 2009 | ICASSP | Classification via group sparsity promoting regularization. | Angshul Majumdar, Rabab K. Ward |
| 2008 | ICASSP | Pseudo-Fisherface method for single image per person face recognition. | Angshul Majumdar, Rabab K. Ward |
| 2008 | ICIP | Single image per person face recognition with images synthesized by non-linear approximation. | Angshul Majumdar, Rabab K. Ward |
| 2008 | ISVC | Frontal Face Recognition from Video. | Angshul Majumdar, Panos Nasiopoulos |
| 2007 | ICDAR | Curvelet-Based Multi SVM Recognizer for Offline Handwritten Bangla: A Major Indian Script. | Angshul Majumdar, B. B. Chaudhuri |