3 papers
cs.LG2025
Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model
Chuang Ma, Tomoyuki Obuchi, Toshiyuki Tanaka
A phenomenon known as ''Neural Collapse (NC)'' in deep classification tasks, in which the penultimate-layer features and the final classifiers exhibit an extremely simple geometric…
cs.NE2025
Universality of reservoir systems with recurrent neural networks
Hiroki Yasumoto, Toshiyuki Tanaka
Approximation capability of reservoir systems whose reservoir is a recurrent neural network (RNN) is discussed. We show what we call uniform strong universality of RNN reservoir sy…
cs.CV2024
Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models
Daiki Miyake, Akihiro Iohara, Yu Saito +1
In image editing employing diffusion models, it is crucial to preserve the reconstruction fidelity to the original image while changing its style. Although existing methods ensure…