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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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Journal Articles
- 2025
[j24]Amit Bhongade
, Tapan Kumar Gandhi, Prathosh A. P.:
Automatic identification of obstructive sleep apnea using multimodal features. Biomed. Signal Process. Control. 105: 107609 (2025)- [j23]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) - [j22]Subhodip Panda, A. P. Prathosh:
FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models. IEEE Trans. Artif. Intell. 6(4): 885-895 (2025) - [j21]Vishnuvardhan Purma, Suhas Srinath, Seshan Srirangarajan, Aanchal Kakkar, A. P. Prathosh:
GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation. IEEE Trans. Medical Imaging 44(2): 618-631 (2025) - [j20]Adarsh Kappiyath, Anmol Garg, Ramya Hebbalaguppe, Prathosh AP:
Lifelong Learning in StyleGAN through Latent Subspaces. Trans. Mach. Learn. Res. 2025 (2025) - [j19]Aditya Hemant Shahane, Prathosh AP, Sandeep Kumar:
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision. Trans. Mach. Learn. Res. 2025 (2025) - [j18]Piyush Tiwary, Atri Guha, Subhodip Panda, Prathosh AP:
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks. Trans. Mach. Learn. Res. 2025 (2025) - 2024
- [j17]Piyush Tiwary, Kinjawl Bhattacharyya, Prathosh A. P.:
Cycle consistent twin energy-based models for image-to-image translation. Medical Image Anal. 91: 103031 (2024) - [j16]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) - [j15]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) - [j14]Jay Nandy, Arnab Kumar Mondal, Manohar Kaul, Prathosh AP:
Teacher-Guided Graph Contrastive Learning. Trans. Mach. Learn. Res. 2024 (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) - 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) - 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 2025
- [c38]Subhodip Panda, Shashwat Sourav, Prathosh A. P.:
Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective. AAAI 2025: 6372-6380 - [c37]Suhas Srinath, Aditya Chandrasekar, Hemang Jamadagni, Rajiv Soundararajan, Prathosh AP:
UnDIVE: Generalized Underwater Video Enhancement Using Generative Priors. WACV 2025: 9001-9012 - 2024
- [c36]Kumar Shubham, Pranav Sastry, Prathosh AP:
Fusing Conditional Submodular GAN and Programmatic Weak Supervision. AAAI 2024: 15020-15028 - [c35]Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, A. P. Prathosh:
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. ACL (1) 2024: 13263-13282 - [c34]Pavan Karjol, Rohan Kashyap, Aditya Gopalan, A. P. Prathosh:
A Unified Framework for Discovering Discrete Symmetries. AISTATS 2024: 793-801 - [c33]Aditya Chandrasekar, Goirik Chakrabarty, Jai Bardhan, Ramya Hebbalaguppe, Prathosh AP:
ReMOVE: A Reference-free Metric for Object Erasure. CVPR Workshops 2024: 7901-7910 - [c32]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 - [c31]Goirik Chakrabarty, Aditya Chandrasekar, Ramya Hebbalaguppe, Prathosh AP:
LoMOE: Localized Multi-Object Editing via Multi-Diffusion. ACM Multimedia 2024: 3342-3351 - [c30]Piyush Tiwary, Kumar Shubham, Vivek Kashyap, Prathosh A. P.:
Bayesian Pseudo-Coresets via Contrastive Divergence. UAI 2024: 3368-3390 - 2023
- [c29]Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan:
Adaptive Mixing of Auxiliary Losses in Supervised Learning. AAAI 2023: 9855-9863 - [c28]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 - [c27]Pavan Karjol, Rohan Kashyap, Prathosh AP:
Neural Discovery of Permutation Subgroups. AISTATS 2023: 4668-4678 - [c26]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 - [c25]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 - [c24]Aman Kumar, Khushboo Anand, Shubham Mandloi, Ashutosh Mishra, Avinash Thakur, Neeraj Kasera, A. P. Prathosh:
CoroNetGAN: Controlled Pruning of GANs via Hypernetworks. ICCV (Workshops) 2023: 1254-1263 - [c23]Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh AP:
Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning. ICLR 2023 - 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 - 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 - 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 - 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 - 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
- [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 - 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
Informal and Other Publications
- 2025
- [i54]Sanchit Bedi, Karn Tiwari, Prathosh A. P., Sri Harsha Kota, N. M. Anoop Krishnan:
CoNOAir: A Neural Operator for Forecasting Carbon Monoxide Evolution in Cities. CoRR abs/2501.06007 (2025) - [i53]Aditya Hemant Shahane, Prathosh A. P., Sandeep Kumar:
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision. CoRR abs/2504.04954 (2025) - [i52]Karn Tiwari, Niladri Dutta, N. M. Anoop Krishnan, Prathosh A. P.:
Latent Mamba Operator for Partial Differential Equations. CoRR abs/2505.19105 (2025) - [i51]Piyush Tiwary, Kinjawl Bhattacharyya, Prathosh A. P.:
LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation. CoRR abs/2505.19659 (2025) - 2024
- [i50]Goirik Chakrabarty, Aditya Chandrasekar, Ramya Hebbalaguppe, Prathosh AP:
LoMOE: Localized Multi-Object Editing via Multi-Diffusion. CoRR abs/2403.00437 (2024) - [i49]Aman Kumar, Khushboo Anand, Shubham Mandloi, Ashutosh Mishra, Avinash Thakur, Neeraj Kasera, A. P. Prathosh:
CoroNetGAN: Controlled Pruning of GANs via Hypernetworks. CoRR abs/2403.08261 (2024) - [i48]Subhodip Panda, Shashwat Sourav, Prathosh A. P.:
Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective. CoRR abs/2403.16246 (2024) - [i47]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) - [i46]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) - [i45]Karn Tiwari, N. M. Anoop Krishnan, A. P. Prathosh:
CoNO: Complex Neural Operator for Continous Dynamical Physical Systems. CoRR abs/2406.02597 (2024) - [i44]Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, A. P. Prathosh:
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. CoRR abs/2406.06027 (2024) - [i43]Aditya Chandrasekar, Goirik Chakrabarty, Jai Bardhan, Ramya Hebbalaguppe, Prathosh AP:
ReMOVE: A Reference-free Metric for Object Erasure. CoRR abs/2409.00707 (2024) - [i42]Suhas Srinath, Aditya Chandrasekar, Hemang Jamadagni, Rajiv Soundararajan, Prathosh A. P.:
UnDIVE: Generalized Underwater Video Enhancement Using Generative Priors. CoRR abs/2411.05886 (2024) - [i41]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) - [i40]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
- [i39]Utkarsh Pratiush, Arshed Nabeel, Vishwesha Guttal, Prathosh AP:
Discovering mesoscopic descriptions of collective movement with neural stochastic modelling. CoRR abs/2303.09906 (2023) - [i38]Piyush Tiwary, Kumar Shubham, Vivek Kashyap, Prathosh A. P.:
Constructing Bayesian Pseudo-Coresets using Contrastive Divergence. CoRR abs/2303.11278 (2023) - [i37]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) - [i36]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) - [i35]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) - [i34]Pavan Karjol, Rohan Kashyap, Aditya Gopalan, Prathosh A. P.:
A Unified Framework for Discovering Discrete Symmetries. CoRR abs/2309.02898 (2023) - [i33]Pavan Karjol, Rohan Kashyap, A. P. Prathosh:
Neural Discovery of Permutation Subgroups. CoRR abs/2309.05352 (2023) - [i32]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) - [i31]Priyanshu Burark, Karn Tiwari, Meer Mehran Rashid, A. P. Prathosh, N. M. Anoop Krishnan:
CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems. CoRR abs/2310.01650 (2023) - [i30]Karn Tiwari, N. M. Anoop Krishnan, A. P. Prathosh:
CoNO: Complex Neural Operator for Continuous Dynamical Systems. CoRR abs/2310.02094 (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
- [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
- [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
- [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) - 2019
- [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) - 2016
- [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)
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-07-02 18:42 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
