Prathosh A. P.

According to our database, Prathosh A. P. authored at least 94 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

From Plain Text to Poetic Form: Generating Metrically-Constrained Sanskrit Verses.

Manoj Balaji Jagadeeshan, Samarth Bhatia, Pretam Ray, Harshul Raj Surana, Akhil Rajeev P, Priya Mishra, Annarao Kulkarni, Ganesh Ramakrishnan, Prathosh AP, Pawan Goyal

CoRR, June, 2025

LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation.

Piyush Tiwary, Kinjawl Bhattacharyya, Prathosh A. P.

CoRR, May, 2025

Latent Mamba Operator for Partial Differential Equations.

Karn Tiwari, Niladri Dutta, N. M. Anoop Krishnan, Prathosh A. P.

CoRR, May, 2025

FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models.

Subhodip Panda, A. P. Prathosh

IEEE Trans. Artif. Intell., April, 2025

GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision.

Aditya Hemant Shahane, Prathosh A. P., Sandeep Kumar

CoRR, April, 2025

GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation.

Vishnuvardhan Purma, Suhas Srinath, Seshan Srirangarajan, Aanchal Kakkar, A. P. Prathosh

IEEE Trans. Medical Imaging, February, 2025

Video-based real-time assessment and diagnosis of autism spectrum disorder using deep neural networks.

Varun Ganjigunte Prakash, Manu Kohli, Aragulla Prasad Prathosh, Monica Juneja, Manushree Gupta, Smitha Sairam, Sadasivan Sitaraman, Anjali Sanjeev Bangalore, John Vijay Sagar Kommu, Lokesh Saini, Prashant Ramesh Utage, Nishant Goyal

Expert Syst. J. Knowl. Eng., January, 2025

CoNOAir: A Neural Operator for Forecasting Carbon Monoxide Evolution in Cities.

Sanchit Bedi, Karn Tiwari, Prathosh A. P., Sri Harsha Kota, N. M. Anoop Krishnan

CoRR, January, 2025

Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks.

Piyush Tiwary, Atri Guha, Subhodip Panda, Prathosh AP

Trans. Mach. Learn. Res., 2025

GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision.

Aditya Hemant Shahane, Prathosh AP, Sandeep Kumar

Trans. Mach. Learn. Res., 2025

Lifelong Learning in StyleGAN through Latent Subspaces.

Adarsh Kappiyath, Anmol Garg, Ramya Hebbalaguppe, Prathosh AP

Trans. Mach. Learn. Res., 2025

Automatic identification of obstructive sleep apnea using multimodal features.

Amit Bhongade, Tapan Kumar Gandhi, Prathosh A. P.

Biomed. Signal Process. Control., 2025

UnDIVE: Generalized Underwater Video Enhancement Using Generative Priors.

Suhas Srinath, Aditya Chandrasekar, Hemang Jamadagni, Rajiv Soundararajan, Prathosh AP

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective.

Subhodip Panda, Shashwat Sourav, Prathosh A. P.

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Cycle consistent twin energy-based models for image-to-image translation.

Piyush Tiwary, Kinjawl Bhattacharyya, Prathosh A. P.

Medical Image Anal., January, 2024

Teacher-Guided Graph Contrastive Learning.

Jay Nandy, Arnab Kumar Mondal, Manohar Kaul, Prathosh AP

Trans. Mach. Learn. Res., 2024

NeuroAiR: Deep Learning Framework for Airwriting Recognition From Scalp-Recorded Neural Signals.

Ayush Tripathi, Aryan Gupta, Prathosh A. P., Suriya Prakash Muthukrishnan, Lalan Kumar

IEEE Trans. Instrum. Meas., 2024

SoLAD: Sampling Over Latent Adapter for Few Shot Generation.

Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh A. P.

IEEE Signal Process. Lett., 2024

GraPE: A Generate-Plan-Edit Framework for Compositional T2I Synthesis.

Ashish Goswami, Satyam Kumar Modi, Santhosh Rishi Deshineni, Harman Singh, Prathosh A. P., Parag Singla

CoRR, 2024

MeasureNet: Measurement Based Celiac Disease Identification.

Aayush Kumar Tyagi, Vaibhav Mishra, Ashok Tiwari, Lalita Mehra, Prasenjit Das, Govind Makharia, Prathosh AP, Mausam

CoRR, 2024

CoNO: Complex Neural Operator for Continous Dynamical Physical Systems.

Karn Tiwari, N. M. Anoop Krishnan, A. P. Prathosh

CoRR, 2024

AdaKD: Dynamic Knowledge Distillation of ASR models using Adaptive Loss Weighting.

Shreyan Ganguly, Roshan Nayak, Rakshith Rao, Ujan Deb, Prathosh AP

CoRR, 2024

Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective.

Subhodip Panda, Shashwat Sourav, Prathosh A. P.

CoRR, 2024

Bayesian Pseudo-Coresets via Contrastive Divergence.

Piyush Tiwary, Kumar Shubham, Vivek Kashyap, Prathosh A. P.

Proceedings of the Uncertainty in Artificial Intelligence, 2024

LoMOE: Localized Multi-Object Editing via Multi-Diffusion.

Goirik Chakrabarty, Aditya Chandrasekar, Ramya Hebbalaguppe, Prathosh AP

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer.

Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh A. P., Vaibhav Rajan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ReMOVE: A Reference-free Metric for Object Erasure.

Aditya Chandrasekar, Goirik Chakrabarty, Jai Bardhan, Ramya Hebbalaguppe, Prathosh AP

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Unified Framework for Discovering Discrete Symmetries.

Pavan Karjol, Rohan Kashyap, Aditya Gopalan, A. P. Prathosh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs.

Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, A. P. Prathosh

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Fusing Conditional Submodular GAN and Programmatic Weak Supervision.

Kumar Shubham, Pranav Sastry, Prathosh AP

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

TripCEAiR: A multi-loss minimization approach for surface EMG based airwriting recognition.

Ayush Tripathi, Prathosh A. P., Suriya Prakash Muthukrishnan, Lalan Kumar

Biomed. Signal Process. Control., August, 2023

SSDMM-VAE: variational multi-modal disentangled representation learning.

Arnab Kumar Mondal, Ajay Sailopal, Parag Singla, Prathosh AP

Appl. Intell., April, 2023

SurfMyoAiR: A Surface Electromyography-Based Framework for Airwriting Recognition.

Ayush Tripathi, A. P. Prathosh, Suriya Prakash Muthukrishnan, Lalan Kumar

IEEE Trans. Instrum. Meas., 2023

Clustering Single-Cell RNA Sequence Data Using Information Maximized and Noise-Invariant Representations.

Arnab Kumar Mondal, Indu Joshi, Pravendra Singh, Prathosh AP

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images.

Aayush Kumar Tyagi, Vaibhav Mishra, Prathosh A. P., Mausam

CoRR, 2023

CoNO: Complex Neural Operator for Continuous Dynamical Systems.

Karn Tiwari, N. M. Anoop Krishnan, A. P. Prathosh

CoRR, 2023

CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems.

Priyanshu Burark, Karn Tiwari, Meer Mehran Rashid, A. P. Prathosh, N. M. Anoop Krishnan

CoRR, 2023

Adapt then Unlearn: Exploiting Parameter Space Semantics for Unlearning in Generative Adversarial Networks.

Piyush Tiwary, Atri Guha, Subhodip Panda, Prathosh A. P.

CoRR, 2023

Constructing Bayesian Pseudo-Coresets using Contrastive Divergence.

Piyush Tiwary, Kumar Shubham, Vivek Kashyap, Prathosh A. P.

CoRR, 2023

Discovering mesoscopic descriptions of collective movement with neural stochastic modelling.

Utkarsh Pratiush, Arshed Nabeel, Vishwesha Guttal, Prathosh AP

CoRR, 2023

Computer Vision-Based Assessment of Autistic Children: Analyzing Interactions, Emotions, Human Pose, and Life Skills.

Varun Ganjigunte Prakash, Manu Kohli, Swati Kohli, A. P. Prathosh, Tanu Wadhera, Diptanshu Das, Debasis Panigrahi, John Vijay Sagar Kommu

IEEE Access, 2023

Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning.

Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh AP

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CoroNetGAN: Controlled Pruning of GANs via Hypernetworks.

Aman Kumar, Khushboo Anand, Shubham Mandloi, Ashutosh Mishra, Avinash Thakur, Neeraj Kasera, A. P. Prathosh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Portable Low-Cost Respiration Rate Measurement System for Sleep Apnea Detection.

Amit Bhongade, Rohit Gupta, Tapan K. Gandhi, Prathosh AP

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting.

Aayush Kumar Tyagi, Chirag Mohapatra, Prasenjit Das, Govind Makharia, Lalita Mehra, Prathosh AP, Mausam

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders.

Arnab Kumar Mondal, Lakshya Singhal, Piyush Tiwary, Parag Singla, Prathosh AP

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Neural Discovery of Permutation Subgroups.

Pavan Karjol, Rohan Kashyap, Prathosh AP

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Adaptive Mixing of Auxiliary Losses in Supervised Learning.

Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

scRAE: Deterministic Regularized Autoencoders With Flexible Priors for Clustering Single-Cell Gene Expression Data.

Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

ImAiR : Airwriting Recognition framework using Image Representation of IMU Signals.

Ayush Tripathi, Arnab Kumar Mondal, Lalan Kumar, Prathosh A. P.

CoRR, 2022

ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing.

Durga Sivasubramanian, Pradeep Shenoy, Prathosh AP, Ganesh Ramakrishnan

CoRR, 2022

Machine learning-based ABA treatment recommendation and personalization for autism spectrum disorder: an exploratory study.

Manu Kohli, Arpan Kumar Kar, Anjali Bangalore, Prathosh AP

Brain Informatics, 2022

Deep Learning-Based Human Action Recognition Framework to Assess Children on the Risk of Autism or Developmental Delays.

Manu Kohli, Arpan Kumar Kar, Varun Ganjigunte Prakash, A. P. Prathosh

Proceedings of the Neural Information Processing - 29th International Conference, 2022

A data driven approach for Sanskrit Derivative Nouns analysis.

Arun Kumar Singh, Sushant Dave, Shresth Mehta, Prathosh A. P.

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2021

SCLAiR : Supervised Contrastive Learning for User and Device Independent Airwriting Recognition.

Ayush Tripathi, Arnab Kumar Mondal, Lalan Kumar, Prathosh A. P.

CoRR, 2021

Domain Generalization via Inference-time Label-Preserving Target Projections.

Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP

CoRR, 2021

Systematic Generalization for Predictive Control in Multivariate Time Series.

Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh A. P.

CoRR, 2021

A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition.

Ayush Srivastava, Oshin Dutta, Jigyasa Gupta, Sumeet Agarwal, Prathosh AP

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

FlexAE: flexibly learning latent priors for wasserstein auto-encoders.

Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, A. P. Prathosh

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models.

Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh AP

Proceedings of the International Joint Conference on Neural Networks, 2021

Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections.

Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Neural Compound-Word (Sandhi) Generation and Splitting in Sanskrit Language.

Sushant Dave, Arun Kumar Singh, Prathosh A. P., Brejesh Lall

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

Unsupervised Domain Adaptation Schemes for Building ASR in Low-Resource Languages.

Chandran Savithri Anoop, Prathosh A. P., A. G. Ramakrishnan

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

Target-Independent Domain Adaptation for WBC Classification Using Generative Latent Search.

Prashant Pandey, Prathosh A. P., Vinay Kyatham, Deepak Mishra, Tathagato Rai Dastidar

IEEE Trans. Medical Imaging, 2020

Effect of the Latent Structure on Clustering With GANs.

Deepak Mishra, Aravind Jayendran, Prathosh A. P.

IEEE Signal Process. Lett., 2020

A Benchmark Corpus and Neural Approach for Sanskrit Derivative Nouns Analysis.

Arun Kumar Singh, Sushant Dave, Prathosh A. P., Brejesh Lall, Shresth Mehta

CoRR, 2020

RespVAD: Voice Activity Detection via Video-Extracted Respiration Patterns.

Arnab Kumar Mondal, Prathosh A. P.

CoRR, 2020

Discrepancy Minimization in Domain Generalization with Generative Nearest Neighbors.

Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP

CoRR, 2020

Skin Segmentation from NIR Images using Unsupervised Domain Adaptation through Generative Latent Search.

Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar, Prathosh AP

CoRR, 2020

To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs.

Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP

CoRR, 2020

C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation.

Arnab Kumar Mondal, Arnab Bhattacharya, Sudipto Mukherjee, Sreeram Kannan, Himanshu Asnani, Prathosh AP

CoRR, 2020

MaskAAE: Latent space optimization for Adversarial Auto-Encoders.

Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Himanshu Asnani, Parag Singla, Prathosh A. P.

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation.

Arnab Kumar Mondal, Arnab Bhattacharjee, Sudipto Mukherjee, Himanshu Asnani, Sreeram Kannan, Prathosh A. P.

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Variational Inference with Latent Space Quantization for Adversarial Resilience.

Vinay Kyatham, Deepak Mishra, Prathosh AP

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images Through Generative Latent Search.

Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar, A. P. Prathosh

Proceedings of the Computer Vision - ECCV 2020, 2020

Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism.

Prashant Pandey, Prathosh AP, Manu Kohli, Josh Pritchard

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Towards Latent Space Optimality for Auto-Encoder Based Generative Models.

Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Parag Singla, Himanshu Asnani, Prathosh A. P.

CoRR, 2019

Adversarial Approximate Inference for Speech to Electroglottograph Conversion.

Prathosh A. P., Varun Srivastava, Mayank Mishra

CoRR, 2019

Variational Inference with Latent Space Quantization for Adversarial Resilience.

Vinay Kyatham, Prathosh A. P., Deepak Mishra, Tarun Kumar Yadav, Dheeraj Mundhra

CoRR, 2019

Detection of Glottal Closure Instants from Raw Speech Using Convolutional Neural Networks.

Mohit Goyal, Varun Srivastava, Prathosh A. P.

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018

NEMGAN: Noise Engineered Mode-matching GAN.

Deepak Mishra, A. P. Prathosh, Aravind Jayendran, Prashant Pandey, Santanu Chaudhury

CoRR, 2018

Detection of Glottal Closure Instants using Deep Dilated Convolutional Neural Networks.

Prathosh A. P., Mohit Goyal, Varun Srivastava

CoRR, 2018

2017

Estimation of Respiratory Pattern From Video Using Selective Ensemble Aggregation.

A. P. Prathosh, Pragathi Praveena, Lalit K. Mestha, Sanjay Bharadwaj

IEEE Trans. Signal Process., 2017

Prediction and imputation in irregularly sampled clinical time series data using hierarchical linear dynamical models.

Abhishek Sengupta, A. P. Prathosh, Satya Narayan Shukla, Vaibhav Rajan, Chandan K. Reddy

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

Cumulative Impulse Strength for Epoch Extraction.

A. P. Prathosh, P. Sujith, A. G. Ramakrishnan, Prasanta Kumar Ghosh

IEEE Signal Process. Lett., 2016

Novel acoustic features for automatic dialog-act tagging.

Harish Arsikere, Arunasish Sen, A. P. Prathosh, Vivek Tyagi

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Real-time respiration rate measurement from thoracoabdominal movement with a consumer grade camera.

Avishek Chatterjee, A. P. Prathosh, Pragathi Praveena

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Respiration Monitoring through Thoraco-Abdominal Video with an LSTM.

Vidyadhar Upadhya, Avishek Chatterjee, A. P. Prathosh, Pragathi Praveena

Proceedings of the 16th IEEE International Conference on Bioinformatics and Bioengineering, 2016

Real-Time Visual Respiration Rate Estimation with Dynamic Scene Adaptation.

Avishek Chatterjee, A. P. Prathosh, Pragathi Praveena, Vidyadhar Upadhya

Proceedings of the 16th IEEE International Conference on Bioinformatics and Bioengineering, 2016

A Vision Based Method for Real-Time Respiration Rate Estimation Using a Recursive Fourier Analysis.

Avishek Chatterjee, A. P. Prathosh, Pragathi Praveena, Vidyadhar Upadhya

Proceedings of the 16th IEEE International Conference on Bioinformatics and Bioengineering, 2016

2015

An error correction scheme for GCI detection algorithms using pitch smoothness criterion.

P. Sujith, A. P. Prathosh, A. G. Ramakrishnan, Prasanta Kumar Ghosh

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Classification of place-of-articulation of stop consonants using temporal analysis.

A. P. Prathosh, A. G. Ramakrishnan, T. V. Ananthapadmanabha

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

2014

Threshold-Independent QRS Detection Using the Dynamic Plosion Index.

A. G. Ramakrishnan, A. P. Prathosh, T. V. Ananthapadmanabha

IEEE Signal Process. Lett., 2014

2013

Epoch Extraction Based on Integrated Linear Prediction Residual Using Plosion Index.

A. P. Prathosh, T. V. Ananthapadmanabha, A. G. Ramakrishnan

IEEE ACM Trans. Audio Speech Lang. Process., 2013