Prathosh A. P.

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Weakly Supervised

Convolutional Neural Networks

Top Venues

IEEE Signal Process. Lett.

Publications

Piyush Tiwary, Kinjawl Bhattacharyya, Prathosh A. P.
Cycle consistent twin energy-based models for image-to-image translation. Medical Image Anal. 91 (2024)
Ayush Tripathi, Aryan Gupta, Prathosh A. P., Suriya Prakash Muthukrishnan, Lalan Kumar
NeuroAiR: Deep Learning Framework for Airwriting Recognition From Scalp-Recorded Neural Signals. IEEE Trans. Instrum. Meas. 73 (2024)
Subhodip Panda, Shashwat Sourav, Prathosh A. P.
Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective. CoRR (2024)
Vishnuvardhan Purma, Suhas Srinath, Seshan Srirangarajan, Aanchal Kakkar, Prathosh A. P.
GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation. CoRR (2023)
Piyush Tiwary, Atri Guha, Subhodip Panda, Prathosh A. P.
Adapt then Unlearn: Exploiting Parameter Space Semantics for Unlearning in Generative Adversarial Networks. CoRR (2023)
Ayush Tripathi, Prathosh A. P., Suriya Prakash Muthukrishnan, Lalan Kumar
TripCEAiR: A multi-loss minimization approach for surface EMG based airwriting recognition. Biomed. Signal Process. Control. 85 (2023)
Aayush Kumar Tyagi, Vaibhav Mishra, Prathosh A. P., Mausam
Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images. CoRR (2023)
Pavan Karjol, Rohan Kashyap, Aditya Gopalan, Prathosh A. P.
A Unified Framework for Discovering Discrete Symmetries. CoRR (2023)
Ayush Tripathi, Lalan Kumar, Prathosh A. P., Suriya Prakash Muthukrishnan
SurfMyoAiR: A surface Electromyography based framework for Airwriting Recognition. CoRR (2022)
Ayush Tripathi, Arnab Kumar Mondal, Lalan Kumar, Prathosh A. P.
ImAiR : Airwriting Recognition framework using Image Representation of IMU Signals. CoRR (2022)
Arun Kumar Singh, Sushant Dave, Shresth Mehta, Prathosh A. P.
A data driven approach for Sanskrit Derivative Nouns analysis. COMAD/CODS (2022)
Ayush Tripathi, Arnab Kumar Mondal, Lalan Kumar, Prathosh A. P.
SCLAiR : Supervised Contrastive Learning for User and Device Independent Airwriting Recognition. CoRR (2021)
Sushant Dave, Arun Kumar Singh, Prathosh A. P., Brejesh Lall
Neural Compound-Word (Sandhi) Generation and Splitting in Sanskrit Language. COMAD/CODS (2021)
Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh A. P.
Systematic Generalization for Predictive Control in Multivariate Time Series. CoRR (2021)
Anoop C. S., Prathosh A. P., A. G. Ramakrishnan
Unsupervised Domain Adaptation Schemes for Building ASR in Low-resource Languages. CoRR (2021)
Anoop C. S., Prathosh A. P., A. G. Ramakrishnan
Unsupervised Domain Adaptation Schemes for Building ASR in Low-Resource Languages. ASRU (2021)
Sushant Dave, Arun Kumar Singh, Prathosh A. P., Brejesh Lall
Neural Compound-Word (Sandhi) Generation and Splitting in Sanskrit Language. CoRR (2020)
Prashant Pandey, Prathosh A. P., Vinay Kyatham, Deepak Mishra, Tathagato Rai Dastidar
Target-Independent Domain Adaptation for WBC Classification Using Generative Latent Search. IEEE Trans. Medical Imaging 39 (12) (2020)
Deepak Mishra, Aravind Jayendran, Prathosh A. P.
Effect of The Latent Structure on Clustering with GANs. CoRR (2020)
Arnab Kumar Mondal, Arnab Bhattacharjee, Sudipto Mukherjee, Himanshu Asnani, Sreeram Kannan, Prathosh A. P.
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation. UAI (2020)
Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Himanshu Asnani, Parag Singla, Prathosh A. P.
MaskAAE: Latent space optimization for Adversarial Auto-Encoders. UAI (2020)
Arnab Kumar Mondal, Prathosh A. P.
RespVAD: Voice Activity Detection via Video-Extracted Respiration Patterns. CoRR (2020)
Arun Kumar Singh, Sushant Dave, Prathosh A. P., Brejesh Lall, Shresth Mehta
A Benchmark Corpus and Neural Approach for Sanskrit Derivative Nouns Analysis. CoRR (2020)
Deepak Mishra, Aravind Jayendran, Prathosh A. P.
Effect of the Latent Structure on Clustering With GANs. IEEE Signal Process. Lett. 27 (2020)
Mohit Goyal, Varun Srivastava, Prathosh A. P.
Detection of Glottal Closure Instants from Raw Speech Using Convolutional Neural Networks. INTERSPEECH (2019)
Vinay Kyatham, Prathosh A. P., Deepak Mishra, Tarun Kumar Yadav, Dheeraj Mundhra
Variational Inference with Latent Space Quantization for Adversarial Resilience. CoRR (2019)
Prashant Pandey, Prathosh A. P., Manu Kohli, Josh Pritchard
Guided weak supervision for action recognition with scarce data to assess skills of children with autism. CoRR (2019)
Prathosh A. P., Varun Srivastava, Mayank Mishra
Adversarial Approximate Inference for Speech to Electroglottograph Conversion. CoRR (2019)
Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Parag Singla, Himanshu Asnani, Prathosh A. P.
Towards Latent Space Optimality for Auto-Encoder Based Generative Models. CoRR (2019)
Prathosh A. P., Mohit Goyal, Varun Srivastava
Detection of Glottal Closure Instants using Deep Dilated Convolutional Neural Networks. CoRR (2018)