Speech enhancement using compressed sensing. - Vinayak Abrol; Pulkit Sharma; Anil Kumar Sao (INTERSPEECH, 2013)

Optimized cluster head selection & rotation for cooperative spectrum sensing in Cognitive Radio Networks. - Pulkit Sharma; Vinayak Abrol (WOCN, 2013)

Individual vs cooperative spectrum sensing for Cognitive Radio Networks. - Pulkit Sharma; Vinayak Abrol (WOCN, 2013)

Radio model for sector coded transmission protocol. - Vinayak Abrol; Pulkit Sharma (WOCN, 2014)

Compressed sensing for unit selection based speech synthesis. - Pulkit Sharma; Vinayak Abrol; Anil Kumar Sao (EUSIPCO, 2015)

Supervised speech enhancement using compressed sensing. - Pulkit Sharma; Vinayak Abrol; Anil Kumar Sao (NCC, 2015)

Making sense of randomness: an approach for fast recovery of compressively sensed signals. - Vinayak Abrol; Pulkit Sharma; Anil Kumar Sao (CoRR, 2015)

Voiced/nonvoiced detection in compressively sensed speech signals. - Vinayak Abrol; Pulkit Sharma; Anil Kumar Sao (Speech Commun., 2015)

Making sense of randomness: Fast signal recovery from compressive samples. - Vinayak Abrol; Pulkit Sharma; Anil Kumar Sao (EUSIPCO, 2016)

Speech emotion recognition using kernel sparse representation based classifier. - Pulkit Sharma; Vinayak Abrol; Abhijeet Sachdev; Aroor Dinesh Dileep (EUSIPCO, 2016)

Fast and robust FMRI unmixing using hierarchical dictionary learning. - Vinayak Abrol; Pulkit Sharma; Shahrooz Faghih Roohi; Anil Kumar Sao; Ashraf A. Kassim (ICIP, 2016)

A novel design of a Dual Functionality Read-Write driver for SRAM. - Pulkit Sharma; Mohammad S. Hashmi (SoCC, 2016)

Quantification of figures of merit of 7T and 8T SRAM cells in subthreshold region and their comparison with the conventional 6T SRAM cell. - Pulkit Sharma; R. Anusha; K. Bharath; Jasmine Kaur Gulati; Preet K. Walia; Sumit Jagdish Darak (VDAT, 2016)

Modeling and yield estimation of SRAM sub-system for different capacities subjected to parametric variations. - Pulkit Sharma; Anil Kumar Gundu; Mohammad S. Hashmi (VDAT, 2016)

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). - Vinayak Abrol; Olivier Absil; Pierre-Antoine Absil; Sandrine Anthoine; Philippe Antoine; Thomas Arildsen; Nancy Bertin; Folkert Bleichrodt; Jérôme Bobin; Anne Bol; Antoine Bonnefoy; Francesco Caltagirone; et al. (CoRR, 2016)

Greedy dictionary learning for kernel sparse representation based classifier. - Vinayak Abrol; Pulkit Sharma; Anil Kumar Sao (Pattern Recognit. Lett., 2016)

Greedy double sparse dictionary learning for sparse representation of speech signals. - Vinayak Abrol; Pulkit Sharma; Anil Kumar Sao (Speech Commun., 2016)

Archetypal analysis based sparse convex sequence kernel for bird activity detection. - Vinayak Abrol; Pulkit Sharma; Anshul Thakur; Padmanabhan Rajan; Aroor Dinesh Dileep; Anil Kumar Sao (EUSIPCO, 2017)

Class specific GMM based sparse feature for speech units classification. - Pulkit Sharma; Vinayak Abrol; Aroor Dinesh Dileep; Anil Kumar Sao (EUSIPCO, 2017)

Fast exemplar selection algorithm for matrix approximation and representation: A variant oASIS algorithm. - Vinayak Abrol; Pulkit Sharma; Anil Kumar Sao (ICASSP, 2017)

Rényi entropy based mutual information for semi-supervised bird vocalization segmentation. - Anshul Thakur; Vinayak Abrol; Pulkit Sharma; Padmanabhan Rajan (MLSP, 2017)

Deep-Sparse-Representation-Based Features for Speech Recognition. - Pulkit Sharma; Vinayak Abrol; Anil Kumar Sao (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Compressed Convex Spectral Embedding for Bird Species Classification. - Anshul Thakur; Vinayak Abrol; Pulkit Sharma; Padmanabhan Rajan (ICASSP, 2018)

ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM. - Pulkit Sharma; Vinayak Abrol; Anshul Thakur (INTERSPEECH, 2018)

Deep Convex Representations: Feature Representations for Bioacoustics Classification. - Anshul Thakur; Vinayak Abrol; Pulkit Sharma; Padmanabhan Rajan (INTERSPEECH, 2018)

Water quality information dissemination at real-time in South Africa using language modelling. - Laing Lourens; Arijit Patra; Luqmaan Hassim; Faheem Sima; Avashlin Moodley; Pulkit Sharma (CoRR, 2018)

Sparse coding based features for speech units classification. - Pulkit Sharma; Vinayak Abrol; Aroor Dinesh Dileep; Anil Kumar Sao (Comput. Speech Lang., 2018)

Reducing footprint of unit selection based text-to-speech system using compressed sensing and sparse representation. - Pulkit Sharma; Vinayak Abrol; Nivedita; Anil Kumar Sao (Comput. Speech Lang., 2018)

CONV-codes: Audio Hashing for Bird Species Classification. - Anshul Thakur; Pulkit Sharma; Vinayak Abrol; Padmanabhan Rajan (ICASSP, 2019)

Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality. - Pulkit Sharma; Farah E. Shamout; David A. Clifton (CoRR, 2019)

Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter. - Pulkit Sharma; Shezan Rohinton Mirzan; Apurva Bhandari; Anish Pimpley; Abhiram Eswaran; Soundar Srinivasan; Liqun Shao (ER (Workshops), 2020)

A Geometric Approach to Archetypal Analysis via Sparse Projections. - Vinayak Abrol; Pulkit Sharma (ICML, 2020)

Learning Hierarchy Aware Embedding From Raw Audio for Acoustic Scene Classification. - Vinayak Abrol; Pulkit Sharma (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Deep Interpretable Early Warning System for the Detection of Clinical Deterioration. - Farah E. Shamout; Tingting Zhu 001; Pulkit Sharma; Peter J. Watkinson; David A. Clifton (IEEE J. Biomed. Health Informatics, 2020)

Neural network and NLP based chatbot for answering COVID-19 queries. - Vishal Tiwari; Lokesh Kumar Verma; Pulkit Sharma; Rachna Jain; Preeti Nagrath (Int. J. Intell. Eng. Informatics, 2021)

Improving Generative Modelling in VAEs Using Multimodal Prior. - Vinayak Abrol; Pulkit Sharma; Arijit Patra (IEEE Trans. Multim., 2021)

Does Geometric Structure in Convolutional Filter Space Provide Filter Redundancy Information? - Anshul Thakur; Vinayak Abrol; Pulkit Sharma (NeurReps, 2022)

Data Pre-Processing Using Neural Processes for Modeling Personalized Vital-Sign Time-Series Data. - Pulkit Sharma; Farah E. Shamout; Vinayak Abrol; David A. Clifton (IEEE J. Biomed. Health Informatics, 2022)

Dynamic Neural Graphs Based Federated Reptile for Semi-Supervised Multi-Tasking in Healthcare Applications. - Anshul Thakur; Pulkit Sharma; David A. Clifton (IEEE J. Biomed. Health Informatics, 2022)

Conv-CapsNet: capsule based network for COVID-19 detection through X-Ray scans. - Pulkit Sharma; Rhythm Arya; Richa Verma; Bindu Verma (Multim. Tools Appl., 2023)

Incremental Trainable Parameter Selection in Deep Neural Networks. - Anshul Thakur; Vinayak Abrol; Pulkit Sharma; Tingting Zhu 001; David A. Clifton (IEEE Trans. Neural Networks Learn. Syst., 2024)