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ORCIDYoshihide Sawada
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2020 – today
- 2024
[j7]Takashi Furuya, Satoshi Okuda, Kazuma Suetake, Yoshihide Sawada:
Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training. Trans. Mach. Learn. Res. 2024 (2024)- [j6]Ryuji Saiin, Tomoya Shirakawa, Sota Yoshihara, Yoshihide Sawada, Hiroyuki Kusumoto:
Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - [j5]Kazuma Suetake, Takuya Ushimaru, Ryuji Saiin, Yoshihide Sawada:
Synaptic Interaction Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - [i15]Fusataka Kuniyoshi, Yoshihide Sawada:
Can Transformers Predict Vibrations? CoRR abs/2402.10511 (2024) - [i14]Naoki Hayashi, Yoshihide Sawada:
Upper Bound of Bayesian Generalization Error in Partial Concept Bottleneck Model (CBM): Partial CBM outperforms naive CBM. CoRR abs/2403.09206 (2024) - [i13]Yoshihide Sawada, Ryuji Saiin, Kazuma Suetake:
Magic for the Age of Quantized DNNs. CoRR abs/2403.14999 (2024) - 2023
- [j4]Kazuma Suetake, Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada
:
S3NN: Time step reduction of spiking surrogate gradients for training energy efficient single-step spiking neural networks. Neural Networks 159: 208-219 (2023) - [i12]Kazuma Suetake, Takuya Ushimaru, Ryuji Saiin, Yoshihide Sawada:
Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks. CoRR abs/2302.01500 (2023) - [i11]Naoki Hayashi, Yoshihide Sawada:
Bayesian Generalization Error in Linear Neural Networks with Concept Bottleneck Structure and Multitask Formulation. CoRR abs/2303.09154 (2023) - [i10]Ryuji Saiin, Tomoya Shirakawa, Sota Yoshihara, Yoshihide Sawada, Hiroyuki Kusumoto:
Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks. CoRR abs/2310.02772 (2023) - [i9]Takashi Furuya, Satoshi Okuda, Kazuma Suetake, Yoshihide Sawada:
Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training. CoRR abs/2312.00991 (2023) - 2022
- [j3]Yoshihide Sawada, Keigo Nakamura:
Concept Bottleneck Model With Additional Unsupervised Concepts. IEEE Access 10: 41758-41765 (2022) - [j2]Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada, Naotake Natori:
Rethinking the Role of Normalization and Residual Blocks for Spiking Neural Networks. Sensors 22(8): 2876 (2022) - [c10]Masakazu Tobeta, Yoshihide Sawada, Ze Zheng, Sawa Takamuku, Naotake Natori:
E2Pose: Fully Convolutional Networks for End-to-End Multi-Person Pose Estimation. IROS 2022: 532-537 - [i8]Kazuma Suetake, Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada:
S2NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Neural Networks. CoRR abs/2201.10879 (2022) - [i7]Yoshihide Sawada, Keigo Nakamura:
Concept Bottleneck Model with Additional Unsupervised Concepts. CoRR abs/2202.01459 (2022) - [i6]Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada, Naotake Natori:
Rethinking the role of normalization and residual blocks for spiking neural networks. CoRR abs/2203.01544 (2022) - [i5]Yoshihide Sawada, Keigo Nakamura:
C-SENN: Contrastive Self-Explaining Neural Network. CoRR abs/2206.09575 (2022)
2010 – 2019
- 2019
- [j1]Fusataka Kuniyoshi, Takuya Funatomi, Hiroyuki Kubo, Yoshihide Sawada, Yumiko O. Kato, Yasuhiro Mukaigawa:
Visibility Enhancement by Integrating Refocusing and Direct-Global Separation with Contact Imaging. Int. J. Comput. Vis. 127(8): 1162-1174 (2019) - [i4]Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada, Jian Tang, Jean Michel D. Sellier, Yoshua Bengio:
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures. CoRR abs/1909.00949 (2019) - [i3]Yoshihide Sawada, Koji Morikawa, Mikiya Fujii:
Study of Deep Generative Models for Inorganic Chemical Compositions. CoRR abs/1910.11499 (2019) - 2018
- [i2]Yoshihide Sawada:
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World. CoRR abs/1804.06955 (2018) - 2017
- [i1]Yoshihide Sawada, Yoshikuni Sato, Toru Nakada, Kei Ujimoto, Nobuhiro Hayashi:
All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification. CoRR abs/1711.04450 (2017) - 2016
- [c9]Yoshihide Sawada, Yoshikuni Sato, Toru Nakada, Kei Ujimoto, Nobuhiro Hayashi:
All-Transfer Learning for Deep Neural Networks and Its Application to Sepsis Classification. ECAI 2016: 1586-1587 - [c8]Yoshikuni Sato, Yoshihide Sawada, Toru Nakada, Tadayoshi Nonoyama, Masafumi Kubota, Yusuke Koie, Masaki Yasutake, Osamu Yamamura:
Long-Time Sensor Data Analysis for Estimation of Physical Capacity. ECAI 2016: 1624-1625 - 2015
- [c7]Yoshihide Sawada, Kazuki Kozuka:
Transfer learning method using multi-prediction deep Boltzmann machines for a small scale dataset. MVA 2015: 110-113 - 2014
- [c6]Yoshikuni Sato, Kazuki Kozuka, Yoshihide Sawada, Masaki Kiyono:
Learning Multiple Complex Features Based on Classification Results. ICPR 2014: 3369-3373 - 2013
- [c5]Hidekata Hontani, Yuto Tsunekawa, Yoshihide Sawada:
Accurate and Robust Registration of Nonrigid Surface Using Hierarchical Statistical Shape Model. CVPR 2013: 2977-2984 - 2012
- [c4]Hidekata Hontani, Takamiti Matsuno, Yoshihide Sawada:
Robust nonrigid ICP using outlier-sparsity regularization. CVPR 2012: 174-181 - [c3]Yoshihide Sawada, Hidekata Hontani:
A Study on Graphical Model Structure for Representing Statistical Shape Model of Point Distribution Model. MICCAI (2) 2012: 470-477 - 2011
- [c2]Yoshihide Sawada, Hidekata Hontani:
A Comparison Study of Inferences on Graphical Model for Registering Surface Model to 3D Image. MLMI 2011: 257-264
2000 – 2009
- 2008
- [c1]Hidekata Hontani, Yoshihide Sawada:
Stability evaluation of a classifier for detecting abdominal tumors in FDG-PET/CT images. ICPR 2008: 1-4
Coauthor Index
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