Yoshihide Sawada

According to our database, Yoshihide Sawada authored at least 26 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Magic for the Age of Quantized DNNs.

Yoshihide Sawada, Ryuji Saiin, Kazuma Suetake

CoRR, 2024

Upper Bound of Bayesian Generalization Error in Partial Concept Bottleneck Model (CBM): Partial CBM outperforms naive CBM.

Naoki Hayashi, Yoshihide Sawada

CoRR, 2024

Can Transformers Predict Vibrations?

Fusataka Kuniyoshi, Yoshihide Sawada

CoRR, 2024

2023

S3NN: Time step reduction of spiking surrogate gradients for training energy efficient single-step spiking neural networks.

Kazuma Suetake, Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada

Neural Networks, February, 2023

Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training.

Takashi Furuya, Satoshi Okuda, Kazuma Suetake, Yoshihide Sawada

CoRR, 2023

Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks.

Ryuji Saiin, Tomoya Shirakawa, Sota Yoshihara, Yoshihide Sawada, Hiroyuki Kusumoto

CoRR, 2023

Bayesian Generalization Error in Linear Neural Networks with Concept Bottleneck Structure and Multitask Formulation.

Naoki Hayashi, Yoshihide Sawada

CoRR, 2023

Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks.

Kazuma Suetake, Takuya Ushimaru, Ryuji Saiin, Yoshihide Sawada

CoRR, 2023

2022

Rethinking the Role of Normalization and Residual Blocks for Spiking Neural Networks.

Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada, Naotake Natori

Sensors, 2022

C-SENN: Contrastive Self-Explaining Neural Network.

Yoshihide Sawada, Keigo Nakamura

CoRR, 2022

S²NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Neural Networks.

Kazuma Suetake, Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada

CoRR, 2022

Concept Bottleneck Model With Additional Unsupervised Concepts.

Yoshihide Sawada, Keigo Nakamura

IEEE Access, 2022

E2Pose: Fully Convolutional Networks for End-to-End Multi-Person Pose Estimation.

Masakazu Tobeta, Yoshihide Sawada, Ze Zheng, Sawa Takamuku, Naotake Natori

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2019

Visibility Enhancement by Integrating Refocusing and Direct-Global Separation with Contact Imaging.

Fusataka Kuniyoshi, Takuya Funatomi, Hiroyuki Kubo, Yoshihide Sawada, Yumiko O. Kato, Yasuhiro Mukaigawa

Int. J. Comput. Vis., 2019

Study of Deep Generative Models for Inorganic Chemical Compositions.

Yoshihide Sawada, Koji Morikawa, Mikiya Fujii

CoRR, 2019

Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures.

Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada, Jian Tang, Jean Michel D. Sellier, Yoshua Bengio

CoRR, 2019

2018

Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World.

Yoshihide Sawada

CoRR, 2018

2016

All-Transfer Learning for Deep Neural Networks and Its Application to Sepsis Classification.

Yoshihide Sawada, Yoshikuni Sato, Toru Nakada, Kei Ujimoto, Nobuhiro Hayashi

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Long-Time Sensor Data Analysis for Estimation of Physical Capacity.

Yoshikuni Sato, Yoshihide Sawada, Toru Nakada, Tadayoshi Nonoyama, Masafumi Kubota, Yusuke Koie, Masaki Yasutake, Osamu Yamamura

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Transfer learning method using multi-prediction deep Boltzmann machines for a small scale dataset.

Yoshihide Sawada, Kazuki Kozuka

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

2014

Learning Multiple Complex Features Based on Classification Results.

Yoshikuni Sato, Kazuki Kozuka, Yoshihide Sawada, Masaki Kiyono

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Accurate and Robust Registration of Nonrigid Surface Using Hierarchical Statistical Shape Model.

Hidekata Hontani, Yuto Tsunekawa, Yoshihide Sawada

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

A Study on Graphical Model Structure for Representing Statistical Shape Model of Point Distribution Model.

Yoshihide Sawada, Hidekata Hontani

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Robust nonrigid ICP using outlier-sparsity regularization.

Hidekata Hontani, Takamiti Matsuno, Yoshihide Sawada

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

A Comparison Study of Inferences on Graphical Model for Registering Surface Model to 3D Image.

Yoshihide Sawada, Hidekata Hontani

Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

2008

Stability evaluation of a classifier for detecting abdominal tumors in FDG-PET/CT images.

Hidekata Hontani, Yoshihide Sawada

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008