11 citations · 15 across the 6 of their papers we have counts for
6 papers
Amortized Set Prediction for Inverse IFS Reconstruction from Density Maps
Yutaka Yamaguti
Iterated Function Systems (IFS) generate self-similar fractals from a few contractive affine maps. The forward map from parameters to images is inexpensive and well understood, whe…
Multiple mechanisms of rhythm switching in recurrent neural networks with adaptive time constants
Yutaka Yamaguti, Shota Nakamura
Although recurrent neural networks (RNNs) trained on cognitive tasks have become a widely used framework for studying neural computation, the internal mechanisms by which RNNs swit…
Emergence of Functionally Differentiated Structures via Mutual Information Minimization in Recurrent Neural Networks
Yuki Tomoda, Ichiro Tsuda, Yutaka Yamaguti
Functional differentiation in the brain emerges as distinct regions specialize and is key to understanding brain function as a complex system. Previous research has modeled this pr…
Cyclic image generation using chaotic dynamics
Takaya Tanaka, Yutaka Yamaguti
Successive image generation using cyclic transformations is demonstrated by extending the CycleGAN model to transform images among three different categories. Repeated application…
Evaluating generation of chaotic time series by convolutional generative adversarial networks
Yuki Tanaka, Yutaka Yamaguti
To understand the ability and limitations of convolutional neural networks to generate time series that mimic complex temporal signals, we trained a generative adversarial network…
Functional differentiations in evolutionary reservoir computing networks
Yutaka Yamaguti, Ichiro Tsuda
We propose an extended reservoir computer that shows the functional differentiation of neurons. The reservoir computer is developed to enable changing of the internal reservoir usi…