Researcher, Noah's Ark Lab, Huawei Technologies Ltd.
2 papers at NeurIPS 2025
We show that diffusion policy can be made faster and more accurate without retraining and analyse why, we introduce a genetic algorithm to reduce to two denoising steps..
This paper presents CoUn, a contrastive learning (CL)-based machine unlearning (MU) framework using only retain data. Further, our proposed CL module can be integrated with existing baselines to empower their performance.