Prathosh AP - RankMe

48 papers A* 8A 4B 2Journal 32Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Efficient Subset Selection Strategy Using Text-Guided Data Attribution to Mitigate Simplicity Bias. Trans. Mach. Learn. Res. Kumar Shubham, Pranav Sastry, Prathosh AP
2026	J	`jnl`	Spectral Discovery of Continuous Symmetries via Generalized Fourier Transforms. CoRR Pavan Karjol, Kumar Shubham, Prathosh AP
2026	J	`jnl`	Unlearning in Diffusion models under Data Constraints: A Variational Inference Approach. Trans. Mach. Learn. Res. Subhodip Panda, MS Varun, Shreyans Jain, Sarthak Kumar Maharana, Prathosh AP
2025	J	`jnl`	Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks. Trans. Mach. Learn. Res. Piyush Tiwary, Atri Guha, Subhodip Panda, Prathosh AP
2025	J	`jnl`	From Plain Text to Poetic Form: Generating Metrically-Constrained Sanskrit Verses. CoRR Manoj Balaji Jagadeeshan, Samarth Bhatia, Pretam Ray, Harshul Raj Surana, Akhil Rajeev P, Priya Mishra, Annarao Kulkarni, Ganesh Ramakrishnan, Prathosh AP, Pawan Goyal
2025	J	`jnl`	GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision. Trans. Mach. Learn. Res. Aditya Hemant Shahane, Prathosh AP, Sandeep Kumar
2025	A*	`conf`	LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation. ICML Piyush Tiwary, Kinjawl Bhattacharyya, Prathosh AP
2025	J	`jnl`	Lifelong Learning in StyleGAN through Latent Subspaces. Trans. Mach. Learn. Res. Adarsh Kappiyath, Anmol Garg, Ramya Hebbalaguppe, Prathosh AP
2025	J	`jnl`	MANTA: Physics-Informed Generalized Underwater Object Tracking. CoRR Suhas Srinath, Hemang Jamadagni, Aditya Chadrasekar, Prathosh AP
2025	A	`conf`	UnDIVE: Generalized Underwater Video Enhancement Using Generative Priors. WACV Suhas Srinath, Aditya Chandrasekar, Hemang Jamadagni, Rajiv Soundararajan, Prathosh AP
2024	J	`jnl`	AdaKD: Dynamic Knowledge Distillation of ASR models using Adaptive Loss Weighting. CoRR Shreyan Ganguly, Roshan Nayak, Rakshith Rao, Ujan Deb, Prathosh AP
2024	A*	`conf`	Fusing Conditional Submodular GAN and Programmatic Weak Supervision. AAAI Kumar Shubham, Pranav Sastry, Prathosh AP
2024	A*	`conf`	LoMOE: Localized Multi-Object Editing via Multi-Diffusion. ACM Multimedia Goirik Chakrabarty, Aditya Chandrasekar, Ramya Hebbalaguppe, Prathosh AP
2024	J	`jnl`	LoMOE: Localized Multi-Object Editing via Multi-Diffusion. CoRR Goirik Chakrabarty, Aditya Chandrasekar, Ramya Hebbalaguppe, Prathosh AP
2024	J	`jnl`	MeasureNet: Measurement Based Celiac Disease Identification. CoRR Aayush Kumar Tyagi, Vaibhav Mishra, Ashok Tiwari, Lalita Mehra, Prasenjit Das, Govind Makharia, Prathosh AP, Mausam
2024	—	`conf`	ReMOVE: A Reference-free Metric for Object Erasure. CVPR Workshops Aditya Chandrasekar, Goirik Chakrabarty, Jai Bardhan, Ramya Hebbalaguppe, Prathosh AP
2024	J	`jnl`	ReMOVE: A Reference-free Metric for Object Erasure. CoRR Aditya Chandrasekar, Goirik Chakrabarty, Jai Bardhan, Ramya Hebbalaguppe, Prathosh AP
2024	J	`jnl`	Teacher-Guided Graph Contrastive Learning. Trans. Mach. Learn. Res. Jay Nandy, Arnab Kumar Mondal, Manohar Kaul, Prathosh AP
2024	J	`jnl`	WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancer. CoRR Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh AP, Vaibhav Rajan
2023	—	`conf`	A Portable Low-Cost Respiration Rate Measurement System for Sleep Apnea Detection. EMBC Amit Bhongade, Rohit Gupta, Tapan K. Gandhi, Prathosh AP
2023	A*	`conf`	Adaptive Mixing of Auxiliary Losses in Supervised Learning. AAAI Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan
2023	J	`jnl`	Clustering Single-Cell RNA Sequence Data Using Information Maximized and Noise-Invariant Representations. IEEE ACM Trans. Comput. Biol. Bioinform. Arnab Kumar Mondal, Indu Joshi, Pravendra Singh, Prathosh AP
2023	A*	`conf`	DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting. CVPR Aayush Kumar Tyagi, Chirag Mohapatra, Prasenjit Das, Govind Makharia, Lalita Mehra, Prathosh AP, Mausam
2023	J	`jnl`	DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting. CoRR Aayush Kumar Tyagi, Chirag Mohapatra, Prasenjit Das, Govind Makharia, Lalita Mehra, Prathosh AP, Mausam
2023	J	`jnl`	Discovering mesoscopic descriptions of collective movement with neural stochastic modelling. CoRR Utkarsh Pratiush, Arshed Nabeel, Vishwesha Guttal, Prathosh AP
2023	J	`jnl`	FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models. CoRR Subhodip Panda, Prathosh AP
2023	A*	`conf`	Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning. ICLR Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh AP
2023	J	`jnl`	Fusing Conditional Submodular GAN and Programmatic Weak Supervision. CoRR Kumar Shubham, Pranav Sastry, Prathosh AP
2023	A	`conf`	Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders. AISTATS Arnab Kumar Mondal, Lakshya Singhal, Piyush Tiwary, Parag Singla, Prathosh AP
2023	A	`conf`	Neural Discovery of Permutation Subgroups. AISTATS Pavan Karjol, Rohan Kashyap, Prathosh AP
2023	J	`jnl`	SSDMM-VAE: variational multi-modal disentangled representation learning. Appl. Intell. Arnab Kumar Mondal, Ajay Sailopal, Parag Singla, Prathosh AP
2022	J	`jnl`	ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing. CoRR Durga Sivasubramanian, Pradeep Shenoy, Prathosh AP, Ganesh Ramakrishnan
2022	J	`jnl`	Machine learning-based ABA treatment recommendation and personalization for autism spectrum disorder: an exploratory study. Brain Informatics Manu Kohli, Arpan Kumar Kar, Anjali Bangalore, Prathosh AP
2022	J	`jnl`	TripCEAiR: A Multi-Loss minimization approach for surface EMG based Airwriting Recognition. CoRR Ayush Tripathi, Lalan Kumar, Prathosh AP, Suriya Prakash Muthukrishnan
2022	J	`jnl`	scRAE: Deterministic Regularized Autoencoders With Flexible Priors for Clustering Single-Cell Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP
2021	A	`conf`	A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition. WACV Ayush Srivastava, Oshin Dutta, Jigyasa Gupta, Sumeet Agarwal, Prathosh AP
2021	J	`jnl`	Domain Generalization via Inference-time Label-Preserving Target Projections. CoRR Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP
2021	A*	`conf`	Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections. CVPR Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP
2021	J	`jnl`	ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data. CoRR Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP
2021	B	`conf`	Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models. IJCNN Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh AP
2020	J	`jnl`	A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition. CoRR Ayush Srivastava, Oshin Dutta, Prathosh AP, Sumeet Agarwal, Jigyasa Gupta
2020	J	`jnl`	C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation. CoRR Arnab Kumar Mondal, Arnab Bhattacharya, Sudipto Mukherjee, Sreeram Kannan, Himanshu Asnani, Prathosh AP
2020	J	`jnl`	Discrepancy Minimization in Domain Generalization with Generative Nearest Neighbors. CoRR Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP
2020	A*	`conf`	Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism. AAAI Prashant Pandey, Prathosh AP, Manu Kohli, Josh Pritchard
2020	J	`jnl`	Skin Segmentation from NIR Images using Unsupervised Domain Adaptation through Generative Latent Search. CoRR Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar, Prathosh AP
2020	J	`jnl`	Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search. CoRR Prashant Pandey, Prathosh AP, Vinay Kyatham, Deepak Mishra, Tathagato Rai Dastidar
2020	J	`jnl`	To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs. CoRR Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP
2020	B	`conf`	Variational Inference with Latent Space Quantization for Adversarial Resilience. ICPR Vinay Kyatham, Deepak Mishra, Prathosh AP