Prathosh AP

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 34

Top Topics

Nearest Neighbor

Gene Expression

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Kumar Shubham, Pranav Sastry, Prathosh AP
Fusing Conditional Submodular GAN and Programmatic Weak Supervision. AAAI (2024)
Shreyan Ganguly, Roshan Nayak, Rakshith Rao, Ujan Deb, Prathosh AP
AdaKD: Dynamic Knowledge Distillation of ASR models using Adaptive Loss Weighting. CoRR (2024)
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 (2024)
Goirik Chakrabarty, Aditya Chandrasekar, Ramya Hebbalaguppe, Prathosh AP
LoMOE: Localized Multi-Object Editing via Multi-Diffusion. CoRR (2024)
Kumar Shubham, Pranav Sastry, Prathosh AP
Fusing Conditional Submodular GAN and Programmatic Weak Supervision. CoRR (2023)
Amit Bhongade, Rohit Gupta, Tapan K. Gandhi, Prathosh AP
A Portable Low-Cost Respiration Rate Measurement System for Sleep Apnea Detection. EMBC (2023)
Arnab Kumar Mondal, Lakshya Singhal, Piyush Tiwary, Parag Singla, Prathosh AP
Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders. AISTATS (2023)
Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh AP
Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning. ICLR (2023)
Utkarsh Pratiush, Arshed Nabeel, Vishwesha Guttal, Prathosh AP
Discovering mesoscopic descriptions of collective movement with neural stochastic modelling. CoRR (2023)
Arnab Kumar Mondal, Ajay Sailopal, Parag Singla, Prathosh AP
SSDMM-VAE: variational multi-modal disentangled representation learning. Appl. Intell. 53 (7) (2023)
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 (2023)
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) (2023)
Subhodip Panda, Prathosh AP
FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models. CoRR (2023)
Pavan Karjol, Rohan Kashyap, Prathosh AP
Neural Discovery of Permutation Subgroups. AISTATS (2023)
Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan
Adaptive Mixing of Auxiliary Losses in Supervised Learning. AAAI (2023)
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)
Durga Sivasubramanian, Pradeep Shenoy, Prathosh AP, Ganesh Ramakrishnan
ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing. CoRR (2022)
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) (2022)
Ayush Tripathi, Lalan Kumar, Prathosh AP, Suriya Prakash Muthukrishnan
TripCEAiR: A Multi-Loss minimization approach for surface EMG based Airwriting Recognition. CoRR (2022)
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) (2022)
Prashant Pandey, Ajey Pai, Nisarg Bhatt, Prasenjit Das, Govind Makharia, Prathosh AP, Mausam
Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation. CoRR (2021)
Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP
Domain Generalization via Inference-time Label-Preserving Target Projections. CoRR (2021)
Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data. CoRR (2021)
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)
Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh AP
Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models. IJCNN (2021)
Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP
Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections. CVPR (2021)
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 (2020)
Vinay Kyatham, Deepak Mishra, Prathosh AP
Variational Inference with Latent Space Quantization for Adversarial Resilience. ICPR (2020)
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 (2020)
Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP
Discrepancy Minimization in Domain Generalization with Generative Nearest Neighbors. CoRR (2020)
Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP
To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs. CoRR (2020)
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)
Prashant Pandey, Prathosh AP, Vinay Kyatham, Deepak Mishra, Tathagato Rai Dastidar
Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search. CoRR (2020)
Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar, Prathosh AP
Skin Segmentation from NIR Images using Unsupervised Domain Adaptation through Generative Latent Search. CoRR (2020)