Stability evaluation of a classifier for detecting abdominal tumors in FDG-PET/CT images. - Hidekata Hontani; Yoshihide Sawada (ICPR, 2008)

A Comparison Study of Inferences on Graphical Model for Registering Surface Model to 3D Image. - Yoshihide Sawada; Hidekata Hontani (MLMI, 2011)

Robust nonrigid ICP using outlier-sparsity regularization. - Hidekata Hontani; Takamiti Matsuno; Yoshihide Sawada (CVPR, 2012)

A Study on Graphical Model Structure for Representing Statistical Shape Model of Point Distribution Model. - Yoshihide Sawada; Hidekata Hontani (MICCAI (2), 2012)

Accurate and Robust Registration of Nonrigid Surface Using Hierarchical Statistical Shape Model. - Hidekata Hontani; Yuto Tsunekawa; Yoshihide Sawada (CVPR, 2013)

Learning Multiple Complex Features Based on Classification Results. - Yoshikuni Sato; Kazuki Kozuka; Yoshihide Sawada; Masaki Kiyono (ICPR, 2014)

Transfer learning method using multi-prediction deep Boltzmann machines for a small scale dataset. - Yoshihide Sawada; Kazuki Kozuka (MVA, 2015)

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 (ECAI, 2016)

All-Transfer Learning for Deep Neural Networks and Its Application to Sepsis Classification. - Yoshihide Sawada; Yoshikuni Sato; Toru Nakada; Kei Ujimoto; Nobuhiro Hayashi (ECAI, 2016)

Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World. - Yoshihide Sawada (CoRR, 2018)

Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures. - Jordan Hoffmann; Louis Maestrati; Yoshihide Sawada; Jian Tang 005; Jean Michel D. Sellier; Yoshua Bengio (CoRR, 2019)

Study of Deep Generative Models for Inorganic Chemical Compositions. - Yoshihide Sawada; Koji Morikawa; Mikiya Fujii (CoRR, 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)

E2Pose: Fully Convolutional Networks for End-to-End Multi-Person Pose Estimation. - Masakazu Tobeta; Yoshihide Sawada; Ze Zheng; Sawa Takamuku; Naotake Natori (IROS, 2022)

Concept Bottleneck Model With Additional Unsupervised Concepts. - Yoshihide Sawada; Keigo Nakamura (IEEE Access, 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)

C-SENN: Contrastive Self-Explaining Neural Network. - Yoshihide Sawada; Keigo Nakamura (CoRR, 2022)

Rethinking the Role of Normalization and Residual Blocks for Spiking Neural Networks. - Shin-ichi Ikegawa; Ryuji Saiin; Yoshihide Sawada; Naotake Natori (Sensors, 2022)

Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks. - Kazuma Suetake; Takuya Ushimaru; Ryuji Saiin; Yoshihide Sawada (CoRR, 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, 2023)

Can Transformers Predict Vibrations? - Fusataka Kuniyoshi; Yoshihide Sawada (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)

Magic for the Age of Quantized DNNs. - Yoshihide Sawada; Ryuji Saiin; Kazuma Suetake (CoRR, 2024)

Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training. - Takashi Furuya; Satoshi Okuda; Kazuma Suetake; Yoshihide Sawada (Trans. Mach. Learn. Res., 2024)

Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks. - Ryuji Saiin; Tomoya Shirakawa; Sota Yoshihara; Yoshihide Sawada; Hiroyuki Kusumoto (Trans. Mach. Learn. Res., 2024)

Synaptic Interaction Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks. - Kazuma Suetake; Takuya Ushimaru; Ryuji Saiin; Yoshihide Sawada (Trans. Mach. Learn. Res., 2024)

Bayesian generalization error in linear neural networks with concept bottleneck structure and multitask formulation. - Naoki Hayashi; Yoshihide Sawada (Neurocomputing, 2025)