13 citations · 21 across the 4 of their papers we have counts for
4 papers
Study of Deep Generative Models for Inorganic Chemical Compositions
Yoshihide Sawada, Koji Morikawa, Mikiya Fujii
Generative models based on generative adversarial networks (GANs) and variational autoencoders (VAEs) have been widely studied in the fields of image generation, speech generation,…
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada +3
Generative models have achieved impressive results in many domains including image and text generation. In the natural sciences, generative models have led to rapid progress in aut…
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World
Yoshihide Sawada
We introduce a method to disentangle controllable and uncontrollable factors of variation by interacting with the world. Disentanglement leads to good representations and is import…
All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification
Yoshihide Sawada, Yoshikuni Sato, Toru Nakada +2
In this article, we propose a transfer learning method for deep neural networks (DNNs). Deep learning has been widely used in many applications. However, applying deep learning is…