Patents (Granted and Filed): 

1. Prathosh A. P., Himanshu Madhu and Lalit K Mestha, “Determining respiratory pattern from a video of a subject”, US Patent Grant, US9697599B2 (Commercially Licensed)

2. Prathosh A. P., Pragathi Praveena, Sanjay Bharadwaj, Tejaskumar B., Satish Rath and Himanshu Madhu, “System and method for extracting a periodic signal from video”, US Patent Grant US10192307B2 (Commercially Licensed)

3. Prathosh A. P., Lalit K Mestha and Himanshu Madhu, “Estimating respiratory phase from a video of a subject”, US Patent Grant US9721180B2 (Commercially Licensed)

4. Avishek Chatterjee, Prathosh A. P., and Pragathi Praveena, “Determining respiration rate from a video of a subject breathing, US Patent Grant US9861302B1 (Commercially Licensed)

5. Prathosh A. P. and Vivek Tyagi, “Method and system for detecting sentiment by analyzing human speech”, US Patent Grant, US9812154B2

6. Harish A, Arunashish and Prathosh A. P., “Methods and systems for classifying audio segments of an audio signal”, US Patent Grant, US10269375B2

7.  Vivek Tyagi and Prathosh A. P., “Methods and systems for identifying keywords in speech signal”, US Patent Grant, US9799325B1

8.  Abhishek Sengupta, Prathosh A. P., Satya Narayan Shukla, Vaibhav Rajan, Katerina Sinclair, Stephen Fullerton, “System and method of modeling irregularly sampled temporal data using Kalman filter”, US Patent Grant US10269375B2

9. Abhishek Sengupta, Bhupendra S Solanki, Prathosh A. P., Vaibhav Rajan, Katerina O Sinclair, Stephen Fullerton, Satya N Shukla, “Forecasting a patient vital measurement for healthcare analytics”, US Patent Grant US10559385B2

10. Vaibhav Rajan, Sakyajit Bhattacharya, Vijay Huddar, Abhishek Sengupta, James D Kirkendall, Stephen Fullerton, Katerina Sinclair, Bhupendra Singh Solanki, Prathosh A. P.,  “Method and system for predicting admission of a human subject to a ward in a medical centre”, US Patent Grant US10607151B2

11. Prathosh A. P., Manu Kohli, Prashant Pandey and Swati Kohli,“A system and method for functional skill assessment of a subject for recognizing actions using video-to-video adaptation”, Indian Patent Grant, No. 389639

12.  Lalit K Mestha, Bharadwaj, Sanjay, Prathosh A. P., Tejaskumar D, Himanshu J, Suresh, “Generating a respiration gating signal from a video”, U.S. Patent publication, US20170055920A1

13. Pragathi Praveena and Prathosh A. P., “Determining when a subject is speaking by analyzing a respiratory signal obtained from a video, U.S. Patent publication Serial No. 15/092,287

14. Prathosh A. P., Varun Srivastava and Mayank Mishra, “EdgeEGG - A system and method for hand-held electrode free electroglottograph using neural networks on programmable controllers”, Indian Patent application, No. 201911036593

15. Prathosh A. P., Manu Kohli, Prashant Pandey and Swati Kohli, “ A system and method for building a classifier on sparsely annotated data”, Indian Patent application No. 201911028175

Journal Publications: 

1. A. Bhongade, R. Gupta, A. Prathosh and T. K. Gandhi, "ResPara-Net: Respiration Parameter Estimation Using Wearable Single Inertial Measurement Unit Sensor and Deep Learning," in IEEE Sensors Journal 2024.

2. Tripathi, A., Gupta, A., Prathosh, A.P., Muthukrishnan, S.P. and Kumar, L., 2023. NeuroAiR: Deep Learning Framework for Airwriting Recognition from Scalp-recorded Neural Signals, To appear in IEEE Transactions on Instrumentation and Measurement, 2024.

3. Burark, P., Tiwari, K., Rashid, M. M., Prathosh, A. P., & Krishnan, N. A. (2024). CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems. Digital Discovery, 2024.

4. Piyush Tiwary, Kinjawl Bhattacharyya, Prathosh A.P., Cycle-consistent twin energy-based models for image-to-image translation, Medical Image Analysis, Volume 91, 2024. 

5. Tripathi A, Prathosh AP, Muthukrishnan SP, Kumar L. TripCEAiR: A multi-loss minimization approach for surface EMG based airwriting recognition, Biomedical Signal Processing and Control, 2023 Aug 1;85:104991.

6. Prakash, V.G., Kohli, M., Kohli, S., Prathosh, A.P., Wadhera, T., Das, D., Panigrahi, D. and Kommu, J.V.S., Computer Vision-Based Assessment of Autistic Children: Analyzing Interactions, Emotions, Human Pose, and Life Skills," in IEEE Access, vol. 11, pp. 47907-47929, 2023. 

7. Ayush Tripathi, Lalan Kumar, Prathosh A.P., and Suriya Prakash Muthukrishnan, "SurfMyoAiR: A surface Electromyography based framework for Airwriting Recognition, IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-12, 2023.

8. Prakash, V.G., Kohli, M., Prathosh, A.P., Juneja, M., Gupta, M., Sairam, S., Sitaraman, S., Bangalore, A.S., Kommu, J.V.S., Saini, L. and Utage, P.R., Video‐based real‐time assessment and diagnosis of autism spectrum disorder using deep neural networks. Expert Systems, p.e13253.

9. Arnab Kumar Mondal, Indu Joshi, Pravendra Singh, and Prathosh A P, Clustering Single-cell RNA Sequence Data using Information Maximized and Noise-Invariant Representations, To appear in IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023.

10. Koushik, Anil NP, M. Manoj, N. Nezamuddin, and A. P. Prathosh., "Activity Schedule Modeling Using Machine Learning" To appear in Transportation Research Record, 2023. 

11. Mondal, Arnab Kumar, Ajay Sailopal, Parag Singla, and Prathosh AP, ”SSDMM-VAE: variational multi-modal disentangled representation learning.” Applied Intelligence (2022): 1-15.

12. Koushik, Anil NP, M. Manoj, N. Nezamuddin, and A. P. Prathosh. ”Testing and enhancing spatial transferability of artificial neural networks based travel behavior models.” Transportation Letters (2022): 1-12.

13. Kohli, Manu, Arpan Kumar Kar, Anjali Bangalore, and Prathosh Ap. ”Machine learning-based ABA treatment recommendation and personalization for autism spectrum disorder: an exploratory study.”  Brain Informatics 9, no. 1 (2022): 1-25.

14. Tripathi A, Mondal AK, Kumar L, Prathosh A P. ImAiR: Airwriting Recognition Framework Using Image Representation of IMU Signals. IEEE Sensors Letters. 2022 Sep 13;6(10):1-4.

15. Divate, Mayur, Aayush Tyagi, Derek J. Richard, Prathosh A. Prasad, Harsha Gowda, and Shivashankar H. Nagaraj. "Deep Learning-Based Pan-Cancer Classification Model Reveals Tissue-of-Origin Specific Gene Expression Signatures." Cancers 14, no. 5 (2022): 1185.

16. Ayush Tripathi, Arnab K, Lalan Kumar and Prathosh A. P, SCLAiR : Supervised Contrastive Learning for User and Device Independent Airwriting Recognition, IEEE Sensors Letters, Dec. 2021 (https://arxiv.org/abs/2111.12938).

17. Arnab Kumar Mondal, Parag Singla and, Prathosh AP, xViTCOS: Explainable Vision Transformer Based COVID-19 Screening Using Radiography, Early Access, IEEE Journal of Translational Engineering in Health Medicine, Vol. 10, Nov. 2021.

18. Arnab Kumar Mondal, Parag Singla, Himanshu Asnani and Prathosh A. P., scRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data,  IEEE/ACM Transactions on Computational Biology and Bioinformatics., Vol. 19, NO. 5, Oct. 2022

19. Prashant Pandey, Prathosh A. P., Vinay Kyatham, Deepak Mishra, Tathagato Rai Dastidar, “Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search”, IEEE Transaction on Medical Imaging, pp - 3979 - 3991, Vol. 39, Issue 12, Dec. 2020 (https://arxiv.org/abs/2005.05432).

20. Deepak Mishra, Aravind J and Prathosh A. P.(Equal Contributions), “Effect of the Latent Structure on Clustering with GANs”, IEEE Signal Processing Letters, pp. 900 - 904, Vol. 27, Issue 1, Dec. 2020 (https://arxiv.org/abs/2005.02435).

21. Prathosh A. P., Varun Srivastava and Mayank Mishra, “Adversarial Approximate Inference for Speech to Electroglottograph Conversion”, IEEE Transactions on Audio, Speech and Language Processing, pp. 2183 - 2196, Vol. 27, Issue: 12, Dec. 2019 (https://arxiv.org/abs/1903.12248).

22. Arnab Kumar Mondal and Prathosh A. P., “RespVAD: Voice Activity Detection via Video-Extracted Respiration Patterns using Seq2Seq Models”, IEEE Sensors letters, August 2020.

23. Prathosh A. P., Lalit K Mestha, Sanjay Bharadwaj and Pragathi Praveena, “Estimation of respiratory pattern from video using selective ensemble aggregation”, IEEE Transaction on Signal Processing, pp. 2902 - 2916, Vol. 65, Issue 11,  June 2017.

24. Prathosh A.P., Sujith, A. G. Ramakrishnan and Prasantha Ghosh, “Cumulative Impulse Strength - A Measure for Noise-Robust GCI Extraction Using Linear Prediction Residual”, IEEE Signal Processing Letters, pp. 424428, Vol: 23 Issue: 4, April,  2016

25.  A. G. Ramakrishnan, Prathosh A. P. and T. V. Ananthapadmanabha (Equal contribution), “Threshold-independent QRS detection using the dynamic plosion index”, IEEE Signal Processing Letters, pp: 554 - 558, Vol: 21, Issue: 5, May 2014.

26. Prathosh A. P., A. G. Ramakrishnan and T. V. Ananthapadmanabha, “Estimation of voice onset time in continuous speech using temporal measures”, Journal of the Acoustical Society of America (JASA), pp. EL122 - EL128, Vol: 136(2), Aug. 2014.

27. Prathosh A. P., T. V. Ananthapadmanabha, and A. G. Ramakrishnan, “Epoch Extraction based on Integrated Linear Prediction Residual using Plosion Index”, IEEE Transactions on Audio, Speech and Language Processing, pp: 2471-2480, Vol: 21, Issue: 12, Dec. 2013.

28. Ananthapadmanabha T.V., Prathosh A. P. and Ramakrishnan A.G., “Detection of closure-burst transitions of stops and affricates in continuous speech using plosion index”, Journal of the Acoustical Society of America (JASA), pp: 460 - 471, Vol: 135, Dec. 2013.

Conference Publications: 

1. Shubham, Kumar, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh AP, and Vaibhav Rajan. "WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancer." ICML 2024. 

2. Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, Prathosh A P, ``HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs", ACL Main track 2024.

3. Tiwary, P., Shubham, K, Kashyap, V. and Prathosh A.P., Constructing Bayesian pseudo-coresets using contrastive divergence, UAI 2024.

4. Karjol, Pavan, Rohan Kashyap, Aditya Gopalan, and Prathosh A.P., "A unified framework for discovering discrete symmetries." AISTATS 2024.

5. Shubham, Kumar, Pranav Sastry, and Prathosh AP. "Fusing Conditional Submodular GAN and Programmatic Weak Supervision", AAAI 2024.

6. Aayush Kumar Tyagi, Chirag Mohapatra, Prasenjit Das, Govind Makharia, Lalita Mehra, Prathosh AP and, Mausam, "DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting", CVPR 2023. 

7. Arnab Mondal, Piyush Tiwary, Parag Singla, and Prathosh A.P., "Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning", ICLR 2023. 

8. Pavan Karjol, Rohan Kashyap, and Prathosh A. P., "Neural discovery of permutation subgroups", AISTATS 2023. 

9. Arnab Mondal, Piyush Tiwary, Lakshya Singhal, Parag Singla, and Prathosh A.P., "Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders", AISTATS 2023.

10. Sivasubramanian, Durga, Ayush Maheshwari, A. P. Prathosh, Pradeep Shenoy, and Ganesh Ramakrishnan. "Adaptive mixing of auxiliary losses in supervised learning",  AAAI, 2023.

11. Anoop C S, Prathosh A. P., Ramakrishnan A G, Unsupervised Domain Adaptation schemes for building ASR in Low-Resource Languages, IEEE ASRU 2021. 

12. Arnab Kumar Mondal, Parag Singla and Prathosh AP, FlexAE: Flexibly Learning Latent Priors for Wasserstein Auto Encoders, Conference on Uncertainty in Artificial Intelligence (UAI), 2021. 

13. Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh A. P., “Generalization on Unseen Domains via Inference-time Label-Preserving Target Projections, IEEE CVPR 2021. (https://arxiv.org/abs/2007.14284)

14. Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra and Prathosh A. P., "Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models, IJCNN, 2021. 

15. Ayush Srivastava, Oshin Dutta, Jigyasa Gupta, Sumeet Agarwal and Prathosh A. P., ``A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition", WACV, 2021. 

16. Ayush Tyagi, Sameer Ambekar, Prashant Pandey and Prathosh A. P., ``Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search", ECCV [spotlight], 2020. (https://arxiv.org/abs/2006.08696).

17. Arnab Kumar Mondal, Sankalan P Chowdhury, Aravind J, Parag Singla, Himanshu Asnani and Prathosh A. P., ``MaskAAE: Latent space optimization for Adversarial Auto-Encoders", Conference on Uncertainty in Artificial Intelligence (UAI), [Oral], 2020.  (https://arxiv.org/abs/1912.04564). 

18. Arnab Kumar Mondal, Arnab Bhattarcharjee, Sudpito Mukharjee, Himanshu Ansnani, Shree Ram Kannan, Prathosh A. P., ``C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation" , Conference on Uncertainty in Artificial Intelligence (UAI), [Oral], 2020 (https://arxiv.org/abs/2005.08226).

19. Prashant Pandey, Prathosh A. P., Manu Kohli and Josh P, ``Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism", Conference of Association for the Advancement of Artificial Intelligence (AAAI), [Oral], 2020 (https://arxiv.org/abs/1911.04140). 

20. Vinay Kyatham, Mayank Mishra, Tarun Kumar Yadav, Deepak Mishra, Prathosh A. P., ``Variational Inference with Latent Space Quantization for Adversarial Resilience”, 25th International Conference on Pattern Recognition (ICPR), 2020. 

21. Sushant Dave, Arun Kumar Singh, Brejesh Lal, and Prathosh A. P., ``Neural compound-word (Sandhi) generation in Sanskrit”, ACM India CODs-COMADs, 2021.

22. Mohit Goyal, Varun Srivastava, Prathosh A. P., ``Detection of Glottal Closure Instants from Raw Speech using Convolutional Neural Networks", INTERSPEECH, 2019 (https://arxiv.org/abs/1804.10147). 

23. Abhishek Sengupta, Prathosh A. P., Satya Narayan Shukla, Vaibhav Rajan, Chandan K Reddy, ``Prediction and Imputation in Irregularly  Sampled Clinical  Time Series Data using Hierarchical Linear Dynamical Models", 39th Annual  International Conference of the IEEE Eng. in Medicine and Biology Society (EMBC), 2017.

24. Harish Arsikere, Arunashis sen and Prathosh A. P., ``Novel acoustic features for automatic dialogue act tagging", \textbf{41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016.

25. Avishek Chatterji, Prathosh A. P. and Pragathi Praveena, ``Real-time Respiration Rate Measurement from Thoracoabdominal Movement with a Consumer Grade Camera", IEEE EMBC, 2016.

26. Avishek Chatterji, \textbf{Prathosh A. P.}, Pragathi Praveena and Vidyadhar Upadhya, ``A Vision based Method for Real-Time Respiration Rate Estimation using a Recursive Fourier Analysis", IEEE BIBE, 2016.

27. Avishek Chatterji, Prathosh A. P., Pragathi Praveena and Vidyadhar Upadhya, ``Real-time Visual Respiration Rate Estimation with Automatic Scene Adaptation", IEEE BIBE, 2016.

28. Vidyadhar Upadhyaya , Avishek Chatterji, Prathosh A. P., Pragathi Praveena, ``Respiration Monitoring  through Thoraco-abdominal Video with an LSTM", IEEE BIBE, 2016.

29. Prathosh A. P.}, A. G. Ramakrishnan and T. V. Ananthapadmanabha, ``Classification of place-of-articulation of stop consonants based on temporal analysis", INTERSPEECH, 2015.

30. Prathosh A. P., Sujith, A. G. Ramakrishnan and Prasantha Ghosh, ``An error correction scheme for GCI detection algorithms using pitch smoothness criterion", INTERSPEECH,  2015.

Preprints: 

1. GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation (https://arxiv.org/abs/2309.01487)

2. Adapt then Unlearn: Exploiting Parameter Space Semantics for Unlearning in Generative Adversarial Networks (https://arxiv.org/abs/2309.14054)

3. CoNO: Complex Neural Operator for Continuous Dynamical Systems (https://arxiv.org/abs/2310.02094)

4. LoMOE: Localized Multi-Object Editing via Multi-Diffusion (https://arxiv.org/abs/2403.00437)

5. FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models (https://arxiv.org/abs/2312.14895)