Vinayak Abrol - RankMe

68 papers A* 5A 11B 2C 1Misc 4Journal 26Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	BLEND: Balanced and Leaf-Enhanced Dual Fine-Tuning for Taxonomy Completion. WWW Pankaj, Dhruv Kumar, Vinayak Abrol, Vikram Goyal
2026	A*	`conf`	NADIR: Differential Attention Flow for Non-Autoregressive Transliteration in Indic Languages. AAAI Lakshya Tomar, Vinayak Abrol, Puneet Agarwal
2026	J	`jnl`	NADIR: Differential Attention Flow for Non-Autoregressive Transliteration in Indic Languages. CoRR Lakshya Tomar, Vinayak Abrol, Puneet Agarwal
2025	A	`conf`	ArticulateX: End-to-End Monolingual Speech Translation in Articulator Space. INTERSPEECH Vishal Kumar, Vinayak Abrol
2025	J	`jnl`	Compressing Quaternion Convolutional Neural Networks for Audio Classification. CoRR Arshdeep Singh, Vinayak Abrol, Mark D. Plumbley
2025	—	`conf`	Evaluating Generative Models via Cubical Homology based Persistent Entropy. KDD (2) Suryaka Suresh, Vinayak Abrol
2025	A	`conf`	From Pretraining to Performance: Benchmarking Self-Supervised Speech Models for Interspeech-25 SER Challenge. INTERSPEECH Drishya Uniyal, Vinayak Abrol
2025	J	`jnl`	Taming the Tail: NoI Topology Synthesis for Mixed DL Workloads on Chiplet-Based Accelerators. CoRR Arnav Shukla, Harsh Sharma, Srikant Bharadwaj, Vinayak Abrol, Sujay Deb
2025	J	`jnl`	Topological Persistence of the Neural Embedding of the Archetypal Subspace. IEEE J. Sel. Top. Signal Process. Suryaka Suresh, Vinayak Abrol, Kaushik Kalyanaraman, Sumantra Dutta Roy
2024	—	`conf`	DBCIE: A Database for Brain-Computer Interface Using Electrophysiological Signal. SPCOM Rantu Buragohain, Karan Nathwani, Suresh R. Devasahayam, Vinayak Abrol
2024	A	`conf`	Efficient CNNs with Quaternion Transformations and Pruning for Audio Tagging. INTERSPEECH Aryan Chaudhary, Arshdeep Singh, Vinayak Abrol, Mark D. Plumbley
2024	J	`jnl`	Incremental Trainable Parameter Selection in Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Tingting Zhu, David A. Clifton
2024	J	`jnl`	On characterizing the evolution of embedding space of neural networks using algebraic topology. Pattern Recognit. Lett. Suryaka Suresh, Bishshoy Das, Vinayak Abrol, Sumantra Dutta Roy
2024	J	`jnl`	On the Quantization of Neural Models for Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. Vishal Kumar, Vinayak Abrol, Mathew Magimai-Doss
2024	A	`conf`	QGAN: Low Footprint Quaternion Neural Vocoder for Speech Synthesis. INTERSPEECH Aryan Chaudhary, Vinayak Abrol
2024	—	`conf`	Sampling Rate Adaptive Speaker Verification from Raw Waveforms. ICPR (28) Vinayak Abrol, Anshul Thakur, Akshat Gupta, Xiaomo Liu, Sameena Shah
2024	J	`jnl`	Statistically Guided Near-End Speech Intelligibility Improvement Through Voice Transformation and Transfer Learning. IEEE ACM Trans. Audio Speech Lang. Process. Ritujoy Biswas, Karan Nathwani, Vinayak Abrol
2023	B	`conf`	Coordinate descent on the Stiefel manifold for deep neural network training. ESANN Estelle M. Massart, Vinayak Abrol
2023	J	`jnl`	Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention. CoRR Anshul Thakur, Tingting Zhu, Vinayak Abrol, Jacob Armstrong, Yujiang Wang, David A. Clifton
2023	A	`conf`	Investigating Acoustic Cues for Multilingual Abuse Detection. INTERSPEECH Yash Thakran, Vinayak Abrol
2023	A*	`conf`	Multi-Layer Acoustic & Linguistic Feature Fusion for ComParE-23 Emotion and Requests Challenge. ACM Multimedia Siddhant R. Viksit, Vinayak Abrol
2023	—	`conf`	Near-end Intelligibility Improvement Through Voice Transformation in Transfer Learning Framework. EUSIPCO Ritujoy Biswas, Karan Nathwani, Vinayak Abrol
2023	J	`jnl`	On Characterizing the Evolution of Embedding Space of Neural Networks using Algebraic Topology. CoRR Suryaka Suresh, Bishshoy Das, Vinayak Abrol, Sumantra Dutta Roy
2023	—	`conf`	Pitfalls in Measuring Neural Transferability. NeurReps Suryaka Suresh, Vinayak Abrol, Anshul Thakur
2023	—	`conf`	Towards on-Device Keyword Spotting using Low-Footprint Quaternion Neural Models. WASPAA Aryan Chaudhary, Vinayak Abrol
2022	A*	`conf`	Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training. AAAI Estelle M. Massart, Vinayak Abrol
2022	J	`jnl`	Data Pre-Processing Using Neural Processes for Modeling Personalized Vital-Sign Time-Series Data. IEEE J. Biomed. Health Informatics Pulkit Sharma, Farah E. Shamout, Vinayak Abrol, David A. Clifton
2022	—	`conf`	Does Geometric Structure in Convolutional Filter Space Provide Filter Redundancy Information? NeurReps Anshul Thakur, Vinayak Abrol, Pulkit Sharma
2022	Misc	`conf`	Time-Frequency and Geometric Analysis of Task-Dependent Learning in Raw Waveform Based Acoustic Models. ICASSP Devansh Gupta, Vinayak Abrol
2021	J	`jnl`	Activation function design for deep networks: linearity and effective initialisation. CoRR Michael Murray, Vinayak Abrol, Jared Tanner
2021	C	`conf`	Classification of Infant Behavioural Traits using Acoustic Cry: An Empirical Study. ISPA Sahil Jindal, Karan Nathwani, Vinayak Abrol
2021	J	`jnl`	Coordinate descent on the orthogonal group for recurrent neural network training. CoRR Estelle M. Massart, Vinayak Abrol
2021	J	`jnl`	Improving Generative Modelling in VAEs Using Multimodal Prior. IEEE Trans. Multim. Vinayak Abrol, Pulkit Sharma, Arijit Patra
2021	A	`conf`	Transfer Learning for Speech Intelligibility Improvement in Noisy Environments. Interspeech Ritujoy Biswas, Karan Nathwani, Vinayak Abrol
2020	A*	`conf`	A Geometric Approach to Archetypal Analysis via Sparse Projections. ICML Vinayak Abrol, Pulkit Sharma
2020	J	`jnl`	A Model-Based Derivative-Free Approach to Black-Box Adversarial Examples: BOBYQA. CoRR Giuseppe Ughi, Vinayak Abrol, Jared Tanner
2020	J	`jnl`	An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural Networks. CoRR Giuseppe Ughi, Vinayak Abrol, Jared Tanner
2020	J	`jnl`	Learning Hierarchy Aware Embedding From Raw Audio for Acoustic Scene Classification. IEEE ACM Trans. Audio Speech Lang. Process. Vinayak Abrol, Pulkit Sharma
2019	Misc	`conf`	CONV-codes: Audio Hashing for Bird Species Classification. ICASSP Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan
2019	J	`jnl`	Conv-codes: Audio Hashing For Bird Species Classification. CoRR Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan
2019	A	`conf`	Understanding and Visualizing Raw Waveform-Based CNNs. INTERSPEECH Hannah Muckenhirn, Vinayak Abrol, Mathew Magimai-Doss, Sébastien Marcel
2018	A	`conf`	ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM. INTERSPEECH Pulkit Sharma, Vinayak Abrol, Anshul Thakur
2018	Misc	`conf`	Compressed Convex Spectral Embedding for Bird Species Classification. ICASSP Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan
2018	A	`conf`	Deep Convex Representations: Feature Representations for Bioacoustics Classification. INTERSPEECH Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan
2018	J	`jnl`	Reducing footprint of unit selection based text-to-speech system using compressed sensing and sparse representation. Comput. Speech Lang. Pulkit Sharma, Vinayak Abrol, Nivedita, Anil Kumar Sao
2018	J	`jnl`	Sparse coding based features for speech units classification. Comput. Speech Lang. Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao
2018	—	`conf`	Spatial sparsification and low rank projection for fast analysis of multi-subject resting state fMRI data. ISBI Debadatta Dash, Vinayak Abrol, Anil Kumar Sao, Bharat B. Biswal
2018	—	`conf`	The model order limit: Deep sparse factorization for resting brain. ISBI Debadatta Dash, Vinayak Abrol, Anil Kumar Sao, Bharat B. Biswal
2017	—	`conf`	Archetypal analysis based sparse convex sequence kernel for bird activity detection. EUSIPCO Vinayak Abrol, Pulkit Sharma, Anshul Thakur, Padmanabhan Rajan, Aroor Dinesh Dileep, Anil Kumar Sao
2017	—	`conf`	Class specific GMM based sparse feature for speech units classification. EUSIPCO Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao
2017	J	`jnl`	Deep-Sparse-Representation-Based Features for Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. Pulkit Sharma, Vinayak Abrol, Anil Kumar Sao
2017	Misc	`conf`	Fast exemplar selection algorithm for matrix approximation and representation: A variant oASIS algorithm. ICASSP Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao
2017	—	`conf`	Rényi entropy based mutual information for semi-supervised bird vocalization segmentation. MLSP Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan
2016	B	`conf`	Fast and robust FMRI unmixing using hierarchical dictionary learning. ICIP Vinayak Abrol, Pulkit Sharma, Shahrooz Faghih Roohi, Anil Kumar Sao, Ashraf A. Kassim
2016	J	`jnl`	Greedy dictionary learning for kernel sparse representation based classifier. Pattern Recognit. Lett. Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao
2016	J	`jnl`	Greedy double sparse dictionary learning for sparse representation of speech signals. Speech Commun. Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao
2016	—	`conf`	Making sense of randomness: Fast signal recovery from compressive samples. EUSIPCO Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao
2016	J	`jnl`	Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR 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, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang
2016	—	`conf`	Speech emotion recognition using kernel sparse representation based classifier. EUSIPCO Pulkit Sharma, Vinayak Abrol, Abhijeet Sachdev, Aroor Dinesh Dileep
2015	—	`conf`	Compressed sensing for unit selection based speech synthesis. EUSIPCO Pulkit Sharma, Vinayak Abrol, Anil Kumar Sao
2015	J	`jnl`	Making sense of randomness: an approach for fast recovery of compressively sensed signals. CoRR Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao
2015	A	`conf`	Sparse coding based features for speech units classification. INTERSPEECH Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao
2015	—	`conf`	Supervised speech enhancement using compressed sensing. NCC Pulkit Sharma, Vinayak Abrol, Anil Kumar Sao
2015	J	`jnl`	Voiced/nonvoiced detection in compressively sensed speech signals. Speech Commun. Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao
2014	—	`conf`	Radio model for sector coded transmission protocol. WOCN Vinayak Abrol, Pulkit Sharma
2013	—	`conf`	Individual vs cooperative spectrum sensing for Cognitive Radio Networks. WOCN Pulkit Sharma, Vinayak Abrol
2013	—	`conf`	Optimized cluster head selection & rotation for cooperative spectrum sensing in Cognitive Radio Networks. WOCN Pulkit Sharma, Vinayak Abrol
2013	A	`conf`	Speech enhancement using compressed sensing. INTERSPEECH Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao