Yoshihide Sawada

34 papers A* 2A 3B 2Misc 2Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bayesian generalization error in linear neural networks with concept bottleneck structure and multitask formulation. Neurocomputing Naoki Hayashi, Yoshihide Sawada
2025	Misc	`conf`	Magic for the Age of Quantized DNNs. MVA Ryuji Saiin, Kazuma Suetake, Yoshihide Sawada
2024	J	`jnl`	Can Transformers Predict Vibrations? CoRR Fusataka Kuniyoshi, Yoshihide Sawada
2024	J	`jnl`	Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training. Trans. Mach. Learn. Res. Takashi Furuya, Satoshi Okuda, Kazuma Suetake, Yoshihide Sawada
2024	J	`jnl`	Magic for the Age of Quantized DNNs. CoRR Yoshihide Sawada, Ryuji Saiin, Kazuma Suetake
2024	J	`jnl`	Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks. Trans. Mach. Learn. Res. Ryuji Saiin, Tomoya Shirakawa, Sota Yoshihara, Yoshihide Sawada, Hiroyuki Kusumoto
2024	J	`jnl`	Synaptic Interaction Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks. Trans. Mach. Learn. Res. Kazuma Suetake, Takuya Ushimaru, Ryuji Saiin, Yoshihide Sawada
2024	J	`jnl`	Upper Bound of Bayesian Generalization Error in Partial Concept Bottleneck Model (CBM): Partial CBM outperforms naive CBM. CoRR Naoki Hayashi, Yoshihide Sawada
2023	J	`jnl`	Bayesian Generalization Error in Linear Neural Networks with Concept Bottleneck Structure and Multitask Formulation. CoRR Naoki Hayashi, Yoshihide Sawada
2023	J	`jnl`	Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training. CoRR Takashi Furuya, Satoshi Okuda, Kazuma Suetake, Yoshihide Sawada
2023	J	`jnl`	S3NN: Time step reduction of spiking surrogate gradients for training energy efficient single-step spiking neural networks. Neural Networks Kazuma Suetake, Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada
2023	J	`jnl`	Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks. CoRR Ryuji Saiin, Tomoya Shirakawa, Sota Yoshihara, Yoshihide Sawada, Hiroyuki Kusumoto
2023	J	`jnl`	Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks. CoRR Kazuma Suetake, Takuya Ushimaru, Ryuji Saiin, Yoshihide Sawada
2022	J	`jnl`	C-SENN: Contrastive Self-Explaining Neural Network. CoRR Yoshihide Sawada, Keigo Nakamura
2022	J	`jnl`	Concept Bottleneck Model With Additional Unsupervised Concepts. IEEE Access Yoshihide Sawada, Keigo Nakamura
2022	J	`jnl`	Concept Bottleneck Model with Additional Unsupervised Concepts. CoRR Yoshihide Sawada, Keigo Nakamura
2022	A	`conf`	E2Pose: Fully Convolutional Networks for End-to-End Multi-Person Pose Estimation. IROS Masakazu Tobeta, Yoshihide Sawada, Ze Zheng, Sawa Takamuku, Naotake Natori
2022	J	`jnl`	Rethinking the Role of Normalization and Residual Blocks for Spiking Neural Networks. Sensors Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada, Naotake Natori
2022	J	`jnl`	Rethinking the role of normalization and residual blocks for spiking neural networks. CoRR Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada, Naotake Natori
2022	J	`jnl`	S CoRR Kazuma Suetake, Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada
2019	J	`jnl`	Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures. CoRR Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada, Jian Tang, Jean Michel D. Sellier, Yoshua Bengio
2019	J	`jnl`	Study of Deep Generative Models for Inorganic Chemical Compositions. CoRR Yoshihide Sawada, Koji Morikawa, Mikiya Fujii
2019	J	`jnl`	Visibility Enhancement by Integrating Refocusing and Direct-Global Separation with Contact Imaging. Int. J. Comput. Vis. Fusataka Kuniyoshi, Takuya Funatomi, Hiroyuki Kubo, Yoshihide Sawada, Yumiko O. Kato, Yasuhiro Mukaigawa
2018	J	`jnl`	Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World. CoRR Yoshihide Sawada
2017	J	`jnl`	All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification. CoRR Yoshihide Sawada, Yoshikuni Sato, Toru Nakada, Kei Ujimoto, Nobuhiro Hayashi
2016	A	`conf`	All-Transfer Learning for Deep Neural Networks and Its Application to Sepsis Classification. ECAI Yoshihide Sawada, Yoshikuni Sato, Toru Nakada, Kei Ujimoto, Nobuhiro Hayashi
2016	A	`conf`	Long-Time Sensor Data Analysis for Estimation of Physical Capacity. ECAI Yoshikuni Sato, Yoshihide Sawada, Toru Nakada, Tadayoshi Nonoyama, Masafumi Kubota, Yusuke Koie, Masaki Yasutake, Osamu Yamamura
2015	Misc	`conf`	Transfer learning method using multi-prediction deep Boltzmann machines for a small scale dataset. MVA Yoshihide Sawada, Kazuki Kozuka
2014	B	`conf`	Learning Multiple Complex Features Based on Classification Results. ICPR Yoshikuni Sato, Kazuki Kozuka, Yoshihide Sawada, Masaki Kiyono
2013	A*	`conf`	Accurate and Robust Registration of Nonrigid Surface Using Hierarchical Statistical Shape Model. CVPR Hidekata Hontani, Yuto Tsunekawa, Yoshihide Sawada
2012	—	`conf`	A Study on Graphical Model Structure for Representing Statistical Shape Model of Point Distribution Model. MICCAI (2) Yoshihide Sawada, Hidekata Hontani
2012	A*	`conf`	Robust nonrigid ICP using outlier-sparsity regularization. CVPR Hidekata Hontani, Takamiti Matsuno, Yoshihide Sawada
2011	—	`conf`	A Comparison Study of Inferences on Graphical Model for Registering Surface Model to 3D Image. MLMI Yoshihide Sawada, Hidekata Hontani
2008	B	`conf`	Stability evaluation of a classifier for detecting abdominal tumors in FDG-PET/CT images. ICPR Hidekata Hontani, Yoshihide Sawada