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ORCIDPrathosh A. P.
A. P. Prathosh – Prathosh AP – Aragulla Prasad Prathosh
Person information
- affiliation: Indian Institute of Technology Delhi, New Delhi, India
- affiliation (former): Xerox Research Center India, Bangalore, India
- affiliation (PhD 2015): Indian Institute of Science, Banglore, Department of Electrical Engineering, India
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2020 – today
- 2025
[j17]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:
Video-based real-time assessment and diagnosis of autism spectrum disorder using deep neural networks. Expert Syst. J. Knowl. Eng. 42(1) (2025)- 2024
- [j16]Piyush Tiwary, Kinjawl Bhattacharyya, Prathosh A. P.:
Cycle consistent twin energy-based models for image-to-image translation. Medical Image Anal. 91: 103031 (2024) - [j15]Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh A. P.:
SoLAD: Sampling Over Latent Adapter for Few Shot Generation. IEEE Signal Process. Lett. 31: 3174-3178 (2024) - [j14]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: 1-13 (2024) - [c33]Kumar Shubham, Pranav Sastry, Prathosh AP:
Fusing Conditional Submodular GAN and Programmatic Weak Supervision. AAAI 2024: 15020-15028 - [c32]Pavan Karjol, Rohan Kashyap, Aditya Gopalan, A. P. Prathosh:
A Unified Framework for Discovering Discrete Symmetries. AISTATS 2024: 793-801 - [c31]Aditya Chandrasekar, Goirik Chakrabarty, Jai Bardhan, Ramya Hebbalaguppe, Prathosh AP:
ReMOVE: A Reference-free Metric for Object Erasure. CVPR Workshops 2024: 7901-7910 - [c30]Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh A. P., Vaibhav Rajan:
WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer. ICML 2024 - [c29]Goirik Chakrabarty, Aditya Chandrasekar, Ramya Hebbalaguppe, Prathosh AP:
LoMOE: Localized Multi-Object Editing via Multi-Diffusion. ACM Multimedia 2024: 3342-3351 - [i44]Goirik Chakrabarty, Aditya Chandrasekar, Ramya Hebbalaguppe, Prathosh AP:
LoMOE: Localized Multi-Object Editing via Multi-Diffusion. CoRR abs/2403.00437 (2024) - [i43]Subhodip Panda, Shashwat Sourav, Prathosh A. P.:
Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective. CoRR abs/2403.16246 (2024) - [i42]Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh AP, Vaibhav Rajan:
WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancer. CoRR abs/2405.04078 (2024) - [i41]Shreyan Ganguly, Roshan Nayak, Rakshith Rao, Ujan Deb, Prathosh AP:
AdaKD: Dynamic Knowledge Distillation of ASR models using Adaptive Loss Weighting. CoRR abs/2405.08019 (2024) - [i40]Aditya Chandrasekar, Goirik Chakrabarty, Jai Bardhan, Ramya Hebbalaguppe, Prathosh AP:
ReMOVE: A Reference-free Metric for Object Erasure. CoRR abs/2409.00707 (2024) - [i39]Suhas Srinath, Aditya Chandrasekar, Hemang Jamadagni, Rajiv Soundararajan, Prathosh A. P.:
UnDIVE: Generalized Underwater Video Enhancement Using Generative Priors. CoRR abs/2411.05886 (2024) - [i38]Aayush Kumar Tyagi, Vaibhav Mishra, Ashok Tiwari, Lalita Mehra, Prasenjit Das, Govind Makharia, Prathosh AP, Mausam:
MeasureNet: Measurement Based Celiac Disease Identification. CoRR abs/2412.01182 (2024) - [i37]Ashish Goswami, Satyam Kumar Modi, Santhosh Rishi Deshineni, Harman Singh, Prathosh A. P., Parag Singla:
GraPE: A Generate-Plan-Edit Framework for Compositional T2I Synthesis. CoRR abs/2412.06089 (2024) - 2023
- [j13]Varun Ganjigunte Prakash, Manu Kohli, Swati Kohli, A. P. Prathosh, Tanu Wadhera, Diptanshu Das, Debasis Panigrahi, John Vijay Sagar Kommu:
Computer Vision-Based Assessment of Autistic Children: Analyzing Interactions, Emotions, Human Pose, and Life Skills. IEEE Access 11: 47907-47929 (2023) - [j12]Arnab Kumar Mondal, Ajay Sailopal, Parag Singla, Prathosh AP:
SSDMM-VAE: variational multi-modal disentangled representation learning. Appl. Intell. 53(7): 8467-8481 (2023) - [j11]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: 104991 (2023) - [j10]Arnab Kumar Mondal, Indu Joshi, Pravendra Singh, Prathosh AP:
Clustering Single-Cell RNA Sequence Data Using Information Maximized and Noise-Invariant Representations. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1983-1994 (2023) - [j9]Ayush Tripathi, A. P. Prathosh, Suriya Prakash Muthukrishnan, Lalan Kumar:
SurfMyoAiR: A Surface Electromyography-Based Framework for Airwriting Recognition. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [c28]Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan:
Adaptive Mixing of Auxiliary Losses in Supervised Learning. AAAI 2023: 9855-9863 - [c27]Arnab Kumar Mondal, Lakshya Singhal, Piyush Tiwary, Parag Singla, Prathosh AP:
Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders. AISTATS 2023: 3440-3465 - [c26]Pavan Karjol, Rohan Kashyap, Prathosh AP:
Neural Discovery of Permutation Subgroups. AISTATS 2023: 4668-4678 - [c25]Aayush Kumar Tyagi, Chirag Mohapatra, Prasenjit Das, Govind Makharia, Lalita Mehra, Prathosh AP, Mausam:
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting. CVPR 2023: 23913-23923 - [c24]Amit Bhongade, Rohit Gupta, Tapan K. Gandhi, Prathosh AP:
A Portable Low-Cost Respiration Rate Measurement System for Sleep Apnea Detection. EMBC 2023: 1-5 - [c23]Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh AP:
Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning. ICLR 2023 - [i36]Utkarsh Pratiush, Arshed Nabeel, Vishwesha Guttal, Prathosh AP:
Discovering mesoscopic descriptions of collective movement with neural stochastic modelling. CoRR abs/2303.09906 (2023) - [i35]Piyush Tiwary, Kumar Shubham, Vivek Kashyap, Prathosh A. P.:
Constructing Bayesian Pseudo-Coresets using Contrastive Divergence. CoRR abs/2303.11278 (2023) - [i34]Aayush Kumar Tyagi, Chirag Mohapatra, Prasenjit Das, Govind Makharia, Lalita Mehra, Prathosh AP, Mausam:
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting. CoRR abs/2304.00741 (2023) - [i33]Ayush Tripathi, Aryan Gupta, A. P. Prathosh, Suriya Prakash Muthukrishnan, Lalan Kumar:
NeuroAiR: Deep Learning Framework for Airwriting Recognition from Scalp-recorded Neural Signals. CoRR abs/2308.03555 (2023) - [i32]Vishnuvardhan Purma, Suhas Srinath, Seshan Srirangarajan, Aanchal Kakkar, Prathosh A. P.:
GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation. CoRR abs/2309.01487 (2023) - [i31]Pavan Karjol, Rohan Kashyap, Aditya Gopalan, Prathosh A. P.:
A Unified Framework for Discovering Discrete Symmetries. CoRR abs/2309.02898 (2023) - [i30]Piyush Tiwary, Atri Guha, Subhodip Panda, Prathosh A. P.:
Adapt then Unlearn: Exploiting Parameter Space Semantics for Unlearning in Generative Adversarial Networks. CoRR abs/2309.14054 (2023) - [i29]Aayush Kumar Tyagi, Vaibhav Mishra, Prathosh A. P., Mausam:
Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images. CoRR abs/2311.17960 (2023) - [i28]Kumar Shubham, Pranav Sastry, Prathosh AP:
Fusing Conditional Submodular GAN and Programmatic Weak Supervision. CoRR abs/2312.10366 (2023) - [i27]Subhodip Panda, Prathosh AP:
FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models. CoRR abs/2312.14895 (2023) - 2022
- [j8]Manu Kohli, Arpan Kumar Kar, Anjali Bangalore, Prathosh AP:
Machine learning-based ABA treatment recommendation and personalization for autism spectrum disorder: an exploratory study. Brain Informatics 9(1): 16 (2022) - [j7]Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP:
scRAE: Deterministic Regularized Autoencoders With Flexible Priors for Clustering Single-Cell Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2996-3007 (2022) - [c22]Arun Kumar Singh, Sushant Dave, Shresth Mehta, Prathosh A. P.:
A data driven approach for Sanskrit Derivative Nouns analysis. COMAD/CODS 2022: 288-289 - [c21]Manu Kohli, Arpan Kumar Kar, Varun Ganjigunte Prakash, A. P. Prathosh:
Deep Learning-Based Human Action Recognition Framework to Assess Children on the Risk of Autism or Developmental Delays. ICONIP (7) 2022: 459-470 - [i26]Durga Sivasubramanian, Pradeep Shenoy, Prathosh AP, Ganesh Ramakrishnan:
ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing. CoRR abs/2202.03250 (2022) - [i25]Ayush Tripathi, Arnab Kumar Mondal, Lalan Kumar, Prathosh A. P.:
ImAiR : Airwriting Recognition framework using Image Representation of IMU Signals. CoRR abs/2205.01904 (2022) - [i24]Ayush Tripathi, Lalan Kumar, Prathosh A. P., Suriya Prakash Muthukrishnan:
SurfMyoAiR: A surface Electromyography based framework for Airwriting Recognition. CoRR abs/2210.17185 (2022) - [i23]Ayush Tripathi, Lalan Kumar, Prathosh AP, Suriya Prakash Muthukrishnan:
TripCEAiR: A Multi-Loss minimization approach for surface EMG based Airwriting Recognition. CoRR abs/2212.02870 (2022) - 2021
- [c20]Chandran Savithri Anoop, Prathosh A. P., A. G. Ramakrishnan:
Unsupervised Domain Adaptation Schemes for Building ASR in Low-Resource Languages. ASRU 2021: 342-349 - [c19]Sushant Dave, Arun Kumar Singh, Prathosh A. P., Brejesh Lall:
Neural Compound-Word (Sandhi) Generation and Splitting in Sanskrit Language. COMAD/CODS 2021: 171-177 - [c18]Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP:
Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections. CVPR 2021: 12924-12933 - [c17]Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh AP:
Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models. IJCNN 2021: 1-8 - [c16]Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, A. P. Prathosh:
FlexAE: flexibly learning latent priors for wasserstein auto-encoders. UAI 2021: 525-535 - [c15]Ayush Srivastava, Oshin Dutta, Jigyasa Gupta, Sumeet Agarwal, Prathosh AP:
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition. WACV 2021: 2744-2753 - [i22]Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh A. P.:
Systematic Generalization for Predictive Control in Multivariate Time Series. CoRR abs/2102.05602 (2021) - [i21]Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP:
Domain Generalization via Inference-time Label-Preserving Target Projections. CoRR abs/2103.01134 (2021) - [i20]Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP:
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data. CoRR abs/2107.07709 (2021) - [i19]Chandran Savithri Anoop, Prathosh A. P., A. G. Ramakrishnan:
Unsupervised Domain Adaptation Schemes for Building ASR in Low-resource Languages. CoRR abs/2109.05494 (2021) - [i18]Ayush Tripathi, Arnab Kumar Mondal, Lalan Kumar, Prathosh A. P.:
SCLAiR : Supervised Contrastive Learning for User and Device Independent Airwriting Recognition. CoRR abs/2111.12938 (2021) - 2020
- [j6]Deepak Mishra, Aravind Jayendran, Prathosh A. P.:
Effect of the Latent Structure on Clustering With GANs. IEEE Signal Process. Lett. 27: 900-904 (2020) - [j5]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): 3979-3991 (2020) - [c14]Prashant Pandey, Prathosh AP, Manu Kohli, Josh Pritchard:
Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism. AAAI 2020: 463-470 - [c13]Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar, A. P. Prathosh:
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images Through Generative Latent Search. ECCV (6) 2020: 413-429 - [c12]Vinay Kyatham, Deepak Mishra, Prathosh AP:
Variational Inference with Latent Space Quantization for Adversarial Resilience. ICPR 2020: 9593-9600 - [c11]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: 689-698 - [c10]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: 849-858 - [i17]Deepak Mishra, Aravind Jayendran, Prathosh A. P.:
Effect of The Latent Structure on Clustering with GANs. CoRR abs/2005.02435 (2020) - [i16]Prashant Pandey, Prathosh AP, Vinay Kyatham, Deepak Mishra, Tathagato Rai Dastidar:
Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search. CoRR abs/2005.05432 (2020) - [i15]Arnab Kumar Mondal, Arnab Bhattacharya, Sudipto Mukherjee, Sreeram Kannan, Himanshu Asnani, Prathosh AP:
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation. CoRR abs/2005.08226 (2020) - [i14]Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP:
To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs. CoRR abs/2006.05838 (2020) - [i13]Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar, Prathosh AP:
Skin Segmentation from NIR Images using Unsupervised Domain Adaptation through Generative Latent Search. CoRR abs/2006.08696 (2020) - [i12]Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP:
Discrepancy Minimization in Domain Generalization with Generative Nearest Neighbors. CoRR abs/2007.14284 (2020) - [i11]Arnab Kumar Mondal, Prathosh A. P.:
RespVAD: Voice Activity Detection via Video-Extracted Respiration Patterns. CoRR abs/2008.09466 (2020) - [i10]Ayush Srivastava, Oshin Dutta, Prathosh AP, Sumeet Agarwal, Jigyasa Gupta:
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition. CoRR abs/2010.01343 (2020) - [i9]Arun Kumar Singh, Sushant Dave, Prathosh A. P., Brejesh Lall, Shresth Mehta:
A Benchmark Corpus and Neural Approach for Sanskrit Derivative Nouns Analysis. CoRR abs/2010.12937 (2020) - [i8]Sushant Dave, Arun Kumar Singh, Prathosh A. P., Brejesh Lall:
Neural Compound-Word (Sandhi) Generation and Splitting in Sanskrit Language. CoRR abs/2010.12940 (2020)
2010 – 2019
- 2019
- [c9]Mohit Goyal, Varun Srivastava, Prathosh A. P.:
Detection of Glottal Closure Instants from Raw Speech Using Convolutional Neural Networks. INTERSPEECH 2019: 1591-1595 - [i7]Vinay Kyatham, Prathosh A. P., Deepak Mishra, Tarun Kumar Yadav, Dheeraj Mundhra:
Variational Inference with Latent Space Quantization for Adversarial Resilience. CoRR abs/1903.09940 (2019) - [i6]Prathosh A. P., Varun Srivastava, Mayank Mishra:
Adversarial Approximate Inference for Speech to Electroglottograph Conversion. CoRR abs/1903.12248 (2019) - [i5]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 abs/1911.04140 (2019) - [i4]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 abs/1912.04564 (2019) - 2018
- [i3]Prathosh A. P., Mohit Goyal, Varun Srivastava:
Detection of Glottal Closure Instants using Deep Dilated Convolutional Neural Networks. CoRR abs/1804.10147 (2018) - [i2]Deepak Mishra, A. P. Prathosh, Aravind Jayendran, Prashant Pandey, Santanu Chaudhury:
NEMGAN: Noise Engineered Mode-matching GAN. CoRR abs/1811.03692 (2018) - 2017
- [j4]A. P. Prathosh, Pragathi Praveena, Lalit K. Mestha, Sanjay Bharadwaj:
Estimation of Respiratory Pattern From Video Using Selective Ensemble Aggregation. IEEE Trans. Signal Process. 65(11): 2902-2916 (2017) - [c8]Abhishek Sengupta, A. P. Prathosh, Satya Narayan Shukla, Vaibhav Rajan, Chandan K. Reddy:
Prediction and imputation in irregularly sampled clinical time series data using hierarchical linear dynamical models. EMBC 2017: 3660-3663 - 2016
- [j3]A. P. Prathosh, P. Sujith, A. G. Ramakrishnan, Prasanta Kumar Ghosh:
Cumulative Impulse Strength for Epoch Extraction. IEEE Signal Process. Lett. 23(4): 424-428 (2016) - [c7]Avishek Chatterjee, A. P. Prathosh, Pragathi Praveena, Vidyadhar Upadhya:
A Vision Based Method for Real-Time Respiration Rate Estimation Using a Recursive Fourier Analysis. BIBE 2016: 143-149 - [c6]Avishek Chatterjee, A. P. Prathosh, Pragathi Praveena, Vidyadhar Upadhya:
Real-Time Visual Respiration Rate Estimation with Dynamic Scene Adaptation. BIBE 2016: 154-160 - [c5]Vidyadhar Upadhya, Avishek Chatterjee, A. P. Prathosh, Pragathi Praveena:
Respiration Monitoring through Thoraco-Abdominal Video with an LSTM. BIBE 2016: 165-171 - [c4]Avishek Chatterjee, A. P. Prathosh, Pragathi Praveena:
Real-time respiration rate measurement from thoracoabdominal movement with a consumer grade camera. EMBC 2016: 2708-2711 - [c3]Harish Arsikere, Arunasish Sen, A. P. Prathosh, Vivek Tyagi:
Novel acoustic features for automatic dialog-act tagging. ICASSP 2016: 6105-6109 - [i1]A. P. Prathosh, Pragathi Praveena, Lalit K. Mestha, Sanjay Bharadwaj:
Estimation of respiratory pattern from video using selective ensemble aggregation. CoRR abs/1611.06674 (2016) - 2015
- [c2]A. P. Prathosh, A. G. Ramakrishnan, T. V. Ananthapadmanabha:
Classification of place-of-articulation of stop consonants using temporal analysis. INTERSPEECH 2015: 2655-2659 - [c1]P. Sujith, A. P. Prathosh, A. G. Ramakrishnan, Prasanta Kumar Ghosh:
An error correction scheme for GCI detection algorithms using pitch smoothness criterion. INTERSPEECH 2015: 3284-3288 - 2014
- [j2]A. G. Ramakrishnan, A. P. Prathosh, T. V. Ananthapadmanabha:
Threshold-Independent QRS Detection Using the Dynamic Plosion Index. IEEE Signal Process. Lett. 21(5): 554-558 (2014) - 2013
- [j1]A. P. Prathosh, T. V. Ananthapadmanabha, A. G. Ramakrishnan:
Epoch Extraction Based on Integrated Linear Prediction Residual Using Plosion Index. IEEE ACM Trans. Audio Speech Lang. Process. 21(12): 2471-2480 (2013)
Coauthor Index
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