Kazunori D. Yamada

According to our database, Kazunori D. Yamada authored at least 19 papers between 2014 and 2024.

Collaborative distances:

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

2024

Hyperbolic Chamfer Distance for Point Cloud Completion and Beyond.

Fangzhou Lin, Songlin Hou, Haotian Liu, Shang Gao, Kazunori D. Yamada, Haichong K. Zhang, Ziming Zhang

CoRR, 2024

Learning Random Numbers to Realize Appendable Memory System for Artificial Intelligence to Acquire New Knowledge after Deployment.

Kazunori D. Yamada

CoRR, 2024

Procedural Content Generation via Generative Artificial Intelligence.

Xinyu Mao, Wanli Yu, Kazunori D. Yamada, Michael R. Zielewski

CoRR, 2024

Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance.

Fangzhou Lin, Haotian Liu, Haoying Zhou, Songlin Hou, Kazunori D. Yamada, Gregory S. Fischer, Yanhua Li, Haichong K. Zhang, Ziming Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Hyperbolic Contrastive Learning.

Yun Yue, Fangzhou Lin, Kazunori D. Yamada, Ziming Zhang

CoRR, 2023

InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion.

Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori D. Yamada, Vijaya Kolachalama, Venkatesh Saligrama

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hyperbolic Chamfer Distance for Point Cloud Completion.

Fangzhou Lin, Yun Yue, Songlin Hou, Xuechu Yu, Yajun Xu, Kazunori D. Yamada, Ziming Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

An Effective Convolutional Neural Network for Visualized Understanding Transboundary Air Pollution Based on Himawari-8 Satellite Images.

Fangzhou Lin, Chenyang Gao, Kazunori D. Yamada

IEEE Geosci. Remote. Sens. Lett., 2022

Cosmos Propagation Network: Deep learning model for point cloud completion.

Fangzhou Lin, Yajun Xu, Ziming Zhang, Chenyang Gao, Kazunori D. Yamada

Neurocomputing, 2022

Relation is an option for processing context information.

Kazunori D. Yamada, M. Samy Baladram, Fangzhou Lin

Frontiers Artif. Intell., 2022

2019

MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization.

Kazutaka Katoh, John Rozewicki, Kazunori D. Yamada

Briefings Bioinform., 2019

2018

De novo profile generation based on sequence context specificity with the long short-term memory network.

Kazunori D. Yamada, Kengo Kinoshita

BMC Bioinform., 2018

Parallelization of MAFFT for large-scale multiple sequence alignments.

Tsukasa Nakamura, Kazunori D. Yamada, Kentaro Tomii, Kazutaka Katoh

Bioinform., 2018

Derivative-free neural network for optimizing the scoring functions associated with dynamic programming of pairwise-profile alignment.

Kazunori D. Yamada

Algorithms Mol. Biol., 2018

2017

Optimizing scoring function of dynamic programming of pairwise profile alignment using derivative free neural network.

Kazunori D. Yamada

CoRR, 2017

Identification of the sequence determinants of protein <i>N</i>-terminal acetylation through a decision tree approach.

Kazunori D. Yamada, Satoshi Omori, Hafumi Nishi, Masaru Miyagi

BMC Bioinform., 2017

2016

Application of the MAFFT sequence alignment program to large data - reexamination of the usefulness of chained guide trees.

Kazunori D. Yamada, Kentaro Tomii, Kazutaka Katoh

Bioinform., 2016

2015

PoSSuM v.2.0: data update and a new function for investigating ligand analogs and target proteins of small-molecule drugs.

Jun-Ichi Ito, Kazuyoshi Ikeda, Kazunori D. Yamada, Kenji Mizuguchi, Kentaro Tomii

Nucleic Acids Res., 2015

2014

Revisiting amino acid substitution matrices for identifying distantly related proteins.

Kazunori D. Yamada, Kentaro Tomii

Bioinform., 2014