Panda, Subhodip

6 publications

ICLR 2026 F-INE: A Hypothesis Testing Framework for Estimating Influence Under Training Randomness Subhodip Panda, Dhruv Tarsadiya, Shashwat Sourav, Prathosh Ap, Sai Praneeth Karimireddy

TMLR 2026 Unlearning in Diffusion Models Under Data Constraints: A Variational Inference Approach Subhodip Panda, M S Varun, Shreyans Jain, Sarthak Kumar Maharana, 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

AAAI 2025 Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective Subhodip Panda, Shashwat Sourav, Prathosh A. P.

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