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Yasutaka Furusho
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Journal Articles
- 2017
- [j1]Yasutaka Furusho, Takatomi Kubo, Kazushi Ikeda:
Roles of pre-training in deep neural networks from information theoretical perspective. Neurocomputing 248: 76-79 (2017)
Conference and Workshop Papers
- 2021
- [c5]Yasutaka Furusho, Shuhei Nitta, Yukinobu Sakata:
Kernel ridge reconstruction for anomaly detection: general and low computational reconstruction. ICMLA 2021: 185-190 - 2019
- [c4]Yasutaka Furusho, Kazushi Ikeda:
ResNet and Batch-normalization Improve Data Separability. ACML 2019: 94-108 - [c3]Yasutaka Furusho, Kazushi Ikeda:
Effects of Skip-Connection in ResNet and Batch-Normalization on Fisher Information Matrix. INNSBDDL 2019: 341-348 - [c2]Yasutaka Furusho, Tongliang Liu, Kazushi Ikeda:
Skipping Two Layers in ResNet Makes the Generalization Gap Smaller than Skipping One or No Layer. INNSBDDL 2019: 349-358 - 2015
- [c1]Yasutaka Furusho, Takatomi Kubo, Kazushi Ikeda:
Information Theoretical Analysis of Deep Learning Representations. ICONIP (1) 2015: 599-605
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