Search Results for author:
Found 4 papers, 1 papers with code
Assessing Robustness via Score-Based Adversarial Image Generation
In this work, we introduce Score-Based Adversarial Generation (ScoreAG), a novel framework that leverages the advancements in score-based generative models to generate adversarial examples beyond $\ell_p$-norm constraints, so-called unrestricted adversarial examples, overcoming their limitations.
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting
Prior works on time series diffusion models have primarily focused on developing conditional models tailored to specific forecasting or imputation tasks.
U-PET: MRI-based Dementia Detection with Joint Generation of Synthetic FDG-PET Images
To this end, we propose a multi-task method based on U-Net that takes T1-weighted MR images as an input to generate synthetic FDG-PET images and classifies the dementia progression of the patient into cognitive normal (CN), cognitive impairment (MCI), and AD.
Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina
Fundus photography is the primary method for retinal imaging and essential for diabetic retinopathy prevention.
