Prathosh A. P.

51 papers A* 3A 5C 1Journal 39Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Chandomitra: Towards Generating Structured Sanskrit Poetry from Natural Language Inputs. EACL (Volume 1: Long Papers) Manoj Balaji Jagadeeshan, Samarth Bhatia, Pretam Ray, Harshul Raj Surana, Akhil Rajeev P, Priya Mishra, Annarao Kulkarni, Ganesh Ramakrishnan, Prathosh A. P., Pawan Goyal
2026	J	`jnl`	Respiration prediction using single channel electrocardiogram signals and neural networks for healthcare applications. Biomed. Signal Process. Control. Amit Bhongade, Rohit Gupta, Prathosh A. P., Tapan Kumar Gandhi
2025	J	`jnl`	Automatic Discovery of One Parameter Subgroups of SO(n). CoRR Pavan Karjol, Vivek Kashyap, Rohan Kashyap, Prathosh A. P.
2025	J	`jnl`	Automatic identification of obstructive sleep apnea using multimodal features. Biomed. Signal Process. Control. Amit Bhongade, Tapan Kumar Gandhi, Prathosh A. P.
2025	J	`jnl`	CoNOAir: A Neural Operator for Forecasting Carbon Monoxide Evolution in Cities. CoRR Sanchit Bedi, Karn Tiwari, Prathosh A. P., Sri Harsha Kota, N. M. Anoop Krishnan
2025	A	`conf`	Concept Forgetting via Label Annealing. UAI Subhodip Panda, Ananda Theertha Suresh, Atri Guha, Prathosh A. P.
2025	J	`jnl`	GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision. CoRR Aditya Hemant Shahane, Prathosh A. P., Sandeep Kumar
2025	J	`jnl`	LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation. CoRR Piyush Tiwary, Kinjawl Bhattacharyya, Prathosh A. P.
2025	A*	`conf`	Latent Mamba Operator for Partial Differential Equations. ICML Karn Tiwari, Niladri Dutta, N. M. Anoop Krishnan, Prathosh A. P.
2025	J	`jnl`	Latent Mamba Operator for Partial Differential Equations. CoRR Karn Tiwari, Niladri Dutta, N. M. Anoop Krishnan, Prathosh A. P.
2025	J	`jnl`	Learning Equivariant Functions via Quadratic Forms. CoRR Pavan Karjol, Vivek Kashyap, Rohan Kashyap, Prathosh A. P.
2025	A*	`conf`	Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective. AAAI Subhodip Panda, Shashwat Sourav, Prathosh A. P.
2025	J	`jnl`	Precision applied behavior analysis intervention for autism spectrum disorder using natural language processing and graph centrality. Biomed. Signal Process. Control. Manu Kohli, Monica Juneja, Manushree Gupta, Arpan Kumar Kar, Smitha Sairam, Varun Ganjigunte Prakash, Prathosh A. P.
2025	J	`jnl`	Variational Diffusion Unlearning: A Variational Inference Framework for Unlearning in Diffusion Models under Data Constraints. CoRR Subhodip Panda, MS Varun, Shreyans Jain, Sarthak Kumar Maharana, Prathosh A. P.
2025	J	`jnl`	f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness. CoRR Subhodip Panda, Dhruv Tarsadiya, Shashwat Sourav, Prathosh A. P., Sai Praneeth Karimireddy
2024	A	`conf`	Bayesian Pseudo-Coresets via Contrastive Divergence. UAI Piyush Tiwary, Kumar Shubham, Vivek Kashyap, Prathosh A. P.
2024	J	`jnl`	Cycle consistent twin energy-based models for image-to-image translation. Medical Image Anal. Piyush Tiwary, Kinjawl Bhattacharyya, Prathosh A. P.
2024	J	`jnl`	GraPE: A Generate-Plan-Edit Framework for Compositional T2I Synthesis. CoRR Ashish Goswami, Satyam Kumar Modi, Santhosh Rishi Deshineni, Harman Singh, Prathosh A. P., Parag Singla
2024	J	`jnl`	NeuroAiR: Deep Learning Framework for Airwriting Recognition From Scalp-Recorded Neural Signals. IEEE Trans. Instrum. Meas. Ayush Tripathi, Aryan Gupta, Prathosh A. P., Suriya Prakash Muthukrishnan, Lalan Kumar
2024	J	`jnl`	Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective. CoRR Subhodip Panda, Shashwat Sourav, Prathosh A. P.
2024	J	`jnl`	SoLAD: Sampling Over Latent Adapter for Few Shot Generation. IEEE Signal Process. Lett. Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh A. P.
2024	J	`jnl`	UnDIVE: Generalized Underwater Video Enhancement Using Generative Priors. CoRR Suhas Srinath, Aditya Chandrasekar, Hemang Jamadagni, Rajiv Soundararajan, Prathosh A. P.
2024	A*	`conf`	WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer. ICML Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh A. P., Vaibhav Rajan
2023	J	`jnl`	A Unified Framework for Discovering Discrete Symmetries. CoRR Pavan Karjol, Rohan Kashyap, Aditya Gopalan, Prathosh A. P.
2023	J	`jnl`	Adapt then Unlearn: Exploiting Parameter Space Semantics for Unlearning in Generative Adversarial Networks. CoRR Piyush Tiwary, Atri Guha, Subhodip Panda, Prathosh A. P.
2023	J	`jnl`	Constructing Bayesian Pseudo-Coresets using Contrastive Divergence. CoRR Piyush Tiwary, Kumar Shubham, Vivek Kashyap, Prathosh A. P.
2023	J	`jnl`	GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation. CoRR Vishnuvardhan Purma, Suhas Srinath, Seshan Srirangarajan, Aanchal Kakkar, Prathosh A. P.
2023	J	`jnl`	Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images. CoRR Aayush Kumar Tyagi, Vaibhav Mishra, Prathosh A. P., Mausam
2023	J	`jnl`	TripCEAiR: A multi-loss minimization approach for surface EMG based airwriting recognition. Biomed. Signal Process. Control. Ayush Tripathi, Prathosh A. P., Suriya Prakash Muthukrishnan, Lalan Kumar
2022	—	`conf`	A data driven approach for Sanskrit Derivative Nouns analysis. COMAD/CODS Arun Kumar Singh, Sushant Dave, Shresth Mehta, Prathosh A. P.
2022	J	`jnl`	ImAiR : Airwriting Recognition framework using Image Representation of IMU Signals. CoRR Ayush Tripathi, Arnab Kumar Mondal, Lalan Kumar, Prathosh A. P.
2022	J	`jnl`	SurfMyoAiR: A surface Electromyography based framework for Airwriting Recognition. CoRR Ayush Tripathi, Lalan Kumar, Prathosh A. P., Suriya Prakash Muthukrishnan
2021	—	`conf`	Neural Compound-Word (Sandhi) Generation and Splitting in Sanskrit Language. COMAD/CODS Sushant Dave, Arun Kumar Singh, Prathosh A. P., Brejesh Lall
2021	J	`jnl`	SCLAiR : Supervised Contrastive Learning for User and Device Independent Airwriting Recognition. CoRR Ayush Tripathi, Arnab Kumar Mondal, Lalan Kumar, Prathosh A. P.
2021	J	`jnl`	Systematic Generalization for Predictive Control in Multivariate Time Series. CoRR Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh A. P.
2021	C	`conf`	Unsupervised Domain Adaptation Schemes for Building ASR in Low-Resource Languages. ASRU Chandran Savithri Anoop, Prathosh A. P., A. G. Ramakrishnan
2021	J	`jnl`	Unsupervised Domain Adaptation Schemes for Building ASR in Low-resource Languages. CoRR Chandran Savithri Anoop, Prathosh A. P., A. G. Ramakrishnan
2020	J	`jnl`	A Benchmark Corpus and Neural Approach for Sanskrit Derivative Nouns Analysis. CoRR Arun Kumar Singh, Sushant Dave, Prathosh A. P., Brejesh Lall, Shresth Mehta
2020	A	`conf`	C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation. UAI Arnab Kumar Mondal, Arnab Bhattacharjee, Sudipto Mukherjee, Himanshu Asnani, Sreeram Kannan, Prathosh A. P.
2020	J	`jnl`	Effect of The Latent Structure on Clustering with GANs. CoRR Deepak Mishra, Aravind Jayendran, Prathosh A. P.
2020	J	`jnl`	Effect of the Latent Structure on Clustering With GANs. IEEE Signal Process. Lett. Deepak Mishra, Aravind Jayendran, Prathosh A. P.
2020	A	`conf`	MaskAAE: Latent space optimization for Adversarial Auto-Encoders. UAI Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Himanshu Asnani, Parag Singla, Prathosh A. P.
2020	J	`jnl`	Neural Compound-Word (Sandhi) Generation and Splitting in Sanskrit Language. CoRR Sushant Dave, Arun Kumar Singh, Prathosh A. P., Brejesh Lall
2020	J	`jnl`	RespVAD: Voice Activity Detection via Video-Extracted Respiration Patterns. CoRR Arnab Kumar Mondal, Prathosh A. P.
2020	J	`jnl`	Target-Independent Domain Adaptation for WBC Classification Using Generative Latent Search. IEEE Trans. Medical Imaging Prashant Pandey, Prathosh A. P., Vinay Kyatham, Deepak Mishra, Tathagato Rai Dastidar
2019	J	`jnl`	Adversarial Approximate Inference for Speech to Electroglottograph Conversion. CoRR Prathosh A. P., Varun Srivastava, Mayank Mishra
2019	A	`conf`	Detection of Glottal Closure Instants from Raw Speech Using Convolutional Neural Networks. INTERSPEECH Mohit Goyal, Varun Srivastava, Prathosh A. P.
2019	J	`jnl`	Guided weak supervision for action recognition with scarce data to assess skills of children with autism. CoRR Prashant Pandey, Prathosh A. P., Manu Kohli, Josh Pritchard
2019	J	`jnl`	Towards Latent Space Optimality for Auto-Encoder Based Generative Models. CoRR Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Parag Singla, Himanshu Asnani, Prathosh A. P.
2019	J	`jnl`	Variational Inference with Latent Space Quantization for Adversarial Resilience. CoRR Vinay Kyatham, Prathosh A. P., Deepak Mishra, Tarun Kumar Yadav, Dheeraj Mundhra
2018	J	`jnl`	Detection of Glottal Closure Instants using Deep Dilated Convolutional Neural Networks. CoRR Prathosh A. P., Mohit Goyal, Varun Srivastava