Yasushi Esaki

According to our database, Yasushi Esaki authored at least 6 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

CT-OT flow: Estimating continuous-time dynamics from discrete temporal snapshots.

Keisuke Kawano, Takuro Kutsuna, Naoki Hayashi, Yasushi Esaki, Hidenori Tanaka

Neurocomputing, 2026

2024

One-Shot Domain Incremental Learning.

Yasushi Esaki, Satoshi Koide, Takuro Kutsuna

Proceedings of the International Joint Conference on Neural Networks, 2024

Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex.

Yasushi Esaki, Akihiro Nakamura, Keisuke Kawano, Ryoko Tokuhisa, Takuro Kutsuna

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

StyleDiff: Attribute comparison between unlabeled datasets in latent disentangled space.

Keisuke Kawano, Takuro Kutsuna, Ryoko Tokuhisa, Akihiro Nakamura, Yasushi Esaki

Image Vis. Comput., October, 2023

2022

The Ratio of the Desired Parameters of Deep Neural Networks.

Yasushi Esaki, Yuta Nakahara, Toshiyasu Matsushima

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022

2020

Theoretical Analysis of the Advantage of Deepening Neural Networks.

Yasushi Esaki, Yuta Nakahara, Toshiyasu Matsushima

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020