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Prathosh A. P

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Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective

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Mar 24, 2024
Subhodip Panda, Shashwat Sourav, Prathosh A. P

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Adapt then Unlearn: Exploiting Parameter Space Semantics for Unlearning in Generative Adversarial Networks

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Sep 25, 2023
Piyush Tiwary, Atri Guha, Subhodip Panda, Prathosh A. P

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A Unified Framework for Discovering Discrete Symmetries

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Sep 06, 2023
Pavan Karjol, Rohan Kashyap, Aditya Gopalan, Prathosh A. P

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GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation

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Sep 04, 2023
Vishnuvardhan Purma, Suhas Srinath, Seshan Srirangarajan, Aanchal Kakkar, Prathosh A. P

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Constructing Bayesian Pseudo-Coresets using Contrastive Divergence

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Mar 20, 2023
Piyush Tiwary, Kumar Shubham, Vivek Kashyap, Prathosh A. P

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Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models

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Mar 07, 2021
Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh A. P

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RespVAD: Voice Activity Detection via Video-Extracted Respiration Patterns

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Aug 21, 2020
Arnab Kumar Mondal, Prathosh A. P

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Effect of The Latent Structure on Clustering with GANs

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May 05, 2020
Deepak Mishra, Aravind Jayendran, Prathosh A. P

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