Ap, Prathosh

24 publications

TMLR 2026 An Efficient Subset Selection Strategy Using Text-Guided Data Attribution to Mitigate Simplicity Bias Kumar Shubham, Pranav Sastry, Prathosh Ap

TMLR 2025 Adapt Then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks Piyush Tiwary, Atri Guha, Subhodip Panda, Prathosh Ap

UAI 2025 Concept Forgetting via Label Annealing Subhodip Panda, Ananda Theertha Suresh, Atri Guha, Prathosh Ap

TMLR 2025 GOTHAM: Graph Class Incremental Learning Framework Under Weak Supervision Aditya Hemant Shahane, Prathosh Ap, Sandeep Kumar

ICML 2025 LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation Piyush Tiwary, Kinjawl Bhattacharyya, Prathosh Ap

ICML 2025 Latent Mamba Operator for Partial Differential Equations Karn Tiwari, Niladri Dutta, N M Anoop Krishnan, Prathosh Ap

TMLR 2025 Lifelong Learning in StyleGAN Through Latent Subspaces Adarsh Kappiyath, Anmol Garg, Ramya Hebbalaguppe, Prathosh Ap

AAAI 2024 Fusing Conditional Submodular GAN and Programmatic Weak Supervision Kumar Shubham, Pranav Sastry, Prathosh Ap

CVPRW 2024 ReMOVE: A Reference-Free Metric for Object Erasure Aditya Chandrasekar, Goirik Chakrabarty, Jai Bardhan, Ramya Hebbalaguppe, Prathosh Ap

TMLR 2024 Teacher-Guided Graph Contrastive Learning Jay Nandy, Arnab Kumar Mondal, Manohar Kaul, Prathosh Ap

NeurIPSW 2024 Variational Diffusion Unlearning: A Variational Inference Framework for Unlearning in Diffusion Models Subhodip Panda, M S Varun, Shreyans Jain, Sarthak Kumar Maharana, Prathosh Ap

ICML 2024 WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh Ap, Vaibhav Rajan

AAAI 2023 Adaptive Mixing of Auxiliary Losses in Supervised Learning Durga Sivasubramanian, Ayush Maheshwari, Prathosh Ap, Pradeep Shenoy, Ganesh Ramakrishnan

NeurIPSW 2023 CoDBench: A Critical Evaluation of Data-Driven Models for Continuous Dynamical Systems Priyanshu Burark, Karn Tiwari, Meer Mehran Rashid, Prathosh Ap, N M Anoop Krishnan

NeurIPSW 2023 CoNO: Complex Neural Operator for Continuous Dynamical Systems Karn Tiwari, N M Anoop Krishnan, Prathosh Ap

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

ICLR 2023 Few-Shot Cross-Domain Image Generation via Inference-Time Latent-Code Learning Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh Ap

AISTATS 2023 Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders Arnab Kumar Mondal, Lakshya Singhal, Piyush Tiwary, Parag Singla, Prathosh Ap

AISTATS 2023 Neural Discovery of Permutation Subgroups Pavan Karjol, Rohan Kashyap, Prathosh Ap

NeurIPSW 2022 Few Shot Generative Domain Adaptation via Inference-Stage Latent Learning in GANs Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh Ap

WACV 2021 A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition Ayush Srivastava, Oshin Dutta, Jigyasa Gupta, Sumeet Agarwal, Prathosh Ap

CVPR 2021 Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh Ap

AAAI 2020 Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism Prashant Pandey, Prathosh Ap, Manu Kohli, Josh Pritchard

ECCV 2020 Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images Through Generative Latent Search Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar, Prathosh Ap