Search Results for author: Kyle Fogarty

Found 2 papers, 1 papers with code

Zero-Shot Machine Unlearning at Scale via Lipschitz Regularization

2 code implementations2 Feb 2024 Jack Foster, Kyle Fogarty, Stefan Schoepf, Cengiz Öztireli, Alexandra Brintrup

The key challenge in unlearning is forgetting the necessary data in a timely manner, while preserving model performance.

Machine Unlearning

FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation

no code implementations20 Nov 2023 Chenliang Zhou, Fangcheng Zhong, Param Hanji, Zhilin Guo, Kyle Fogarty, Alejandro Sztrajman, Hongyun Gao, Cengiz Oztireli

We propose FrePolad: frequency-rectified point latent diffusion, a point cloud generation pipeline integrating a variational autoencoder (VAE) with a denoising diffusion probabilistic model (DDPM) for the latent distribution.

Computational Efficiency Denoising +1

Cannot find the paper you are looking for? You can Submit a new open access paper.