most citedRobust VAEs via Generating Process of Noise Augmented Data

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stat.ML2024

Scaling-based Data Augmentation for Generative Models and its Theoretical Extension

Yoshitaka Koike, Takumi Nakagawa, Hiroki Waida +1

This paper studies stable learning methods for generative models that enable high-quality data generation. Noise injection is commonly used to stabilize learning. However, selectin…

stat.ML2024

Investigating Self-Supervised Image Denoising with Denaturation

Hiroki Waida, Kimihiro Yamazaki, Atsushi Tokuhisa +2

Self-supervised learning for image denoising problems in the presence of denaturation for noisy data is a crucial approach in machine learning. However, theoretical understanding o…