Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex, Y Esaki, A Nakamura, K Kawano, R Tokuhisa, T Kutsuna, International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Enhancing Contextual Word Representations Using Embedding of Neighboring Entities in Knowledge Graphs, R Tokuhisa, K Kawano, A Nakamura, S Koide, International Conference on Computational Linguistics (COLING), 2022
Partial Wasserstein Covering, K Kawano, S Koide, K Otaki, AAAI Conference on Artificial Intelligence (AAAI), 2022
Variational Monocular Depth Estimation for Reliability Prediction, N Hirose, S Taguchi, K Kawano, S Koide, International Conference on 3D Vision (3DV), 2021
Finding Misdetections in Unlabeled Image Database: Toward Reliable Object Detection, S Koide, K Kawano, A Nakamura, T Kutsuna, N Mitsumoto, IEEE International Intelligent Transportation Systems Conference (ITSC), 2021
PLG-IN: Pluggable Geometric Consistency Loss with Wasserstein Distance in Monocular Depth Estimation, N Hirose, S Koide, K Kawano, R Kondo, IEEE International Conference on Robotics and Automation (ICRA), 2021
Learning Wasserstein Isometric Embedding for Point Clouds, K Kawano, S Koide, T Kutsuna, International Conference on 3D Vision (3DV), 2020
Neural Time Warping for Multiple Sequence Alignment, K Kawano, T Kutsuna, S Koide, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Canonical Soft Time Warping, K Kawano, S Koide, T Kutsuna, Asian Conference on Machine Learning (ACML) (Oral), 2019
Flow-based Image-to-Image Translation with Feature Disentanglement, R Kondo, K Kawano, S Koide, T Kutsuna, Advances in Neural Information Processing Systems (Neurips), 2019
Neural edit operations for biological sequences, S Koide, K Kawano, T Kutsuna, Advances in Neural Information Processing Systems (Neurips), 2018
Causal Patterns: Extraction of multiple causal relationships by Mixture of Probabilistic Partial Canonical Correlation Analysis, H Mori, K Kawano, H Yokoyama, IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2017
Minimal sufficient views: A DNN model making predictions with more evidence has higher accuracy, K Kawano, T Kutsuna, K Sano, Neural Networks, 107610. 2025
Multi-dimensional Fused Gromov Wasserstein Discrepancy for Edge-Attributed Graphs, K Kawano, S Koide, H Shiokawa, T Amagasa, IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences, E107-D(5), 2024
StyleDiff: Attribute Comparison Between Unlabeled Datasets in Latent Disentangled Space (arXiv version), K Kawano, T Kutsuna, R Tokuhisa, A Nakamura, Y Esaki, Image and Vision Computing, 2023
Artificial-intelligence-assisted mass fabrication of nanocantilevers from randomly positioned single carbon nanotubes, Y. Tadokoro, K. Funayama, K. Kawano, A Miura, J. Hirotani, Y. Ohno, H. Tanaka, Microsystems & Nanoengineering, 9(1), 32, 2023
Seq2seq fingerprint with byte-pair encoding for predicting changes in protein stability upon single point mutation, K Kawano, S Koide, C Imamura, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 17(5), 1762-1772, 2019
Discovering Potential False Positives in Object Detection using Adversarial Attacks, T Kutsuna, S Koide, K Kawano, AAAI Workshop (Engineering Dependable and Secure Machine Learning Systems), 2019
Does JoiTech Messi dream of RoboCup Goal?, Y Oshima, D Hirose, S Toyoyama, K Kawano, S Qin, T Suzuki, K Shibata, T Takuma, M Asada, In Proceedings of 8th Workshop on Humanoid Soccer Robots 13th IEEE-RAS International Conference on Humanoid Robots, Vol.USB, 2013
CT-OT Flow: Estimating Continuous-Time Dynamics from Discrete Temporal Snapshots, K Kawano, T Kutsuna, N Hayashi, Y Esaki, H Tanaka, arXiv, 2025
機械学習のための最適輸送理論に基づく非構造データ間距離, 河野圭祐, 博士論文, 甲第11172号, 筑波大学, 2024
最適輸送距離に基づく未知パターン抽出, 河野圭祐, 人工知能学会研究会資料 人工知能基本問題研究会 (SIG-FPAI), 2022 (Invited talk)
結晶構造を対象としたグラフニューラルネットワークにおけるグラフ識別性能の限界, 河野圭祐, 小出智士, 塩川浩昭, 天笠俊之, 第14回データ工学と情報マネジメントに関するフォーラム (DEIM), 2022
グラフ編集距離に基づく部分グラフ探索, 小出智士, 河野圭祐, 塩川浩昭, 天笠俊之, 第14回データ工学と情報マネジメントに関するフォーラム (DEIM), 2022
点群データベースに対する類似度検索の検討, 小出智士, 河野圭祐, 沓名拓郎, 第12回データ工学と情報マネジメントに関するフォーラム (DEIM), 2020
バイオ配列のための編集不変ニューラルネットワーク, 小出智士, 河野圭祐, 沓名拓郎, 第21回情報論的学習理論ワークショップ (IBIS), 2018
Canonical Time Warpingにおける勾配法によるパラメータ最適化の提案, 河野圭祐, 小出智士, 沓名拓郎,第21回情報論的学習理論ワークショップ (IBIS), 2018
BPE Sequence to Sequence を利用した単変異によるタンパク質耐熱性変化予測, 河野圭祐, 小出智士, 今村千絵, 人工知能学会全国大会論文集 第 32 回全国大会 (JSAI), 2018
ロングリードデータを用いたSNVsの誤検出抑制, 小出 智士, 河野 圭祐, 田所 幸浩, 田中 秀典, 村本 伸彦, 第五回 NGS現場の会, 2017
タンパク質二次構造予測を行う深層学習モデルの Saliency Map による可視化, 河野圭祐, 小出智士, 今村千絵, 田所幸浩, 人工知能学会全国大会論文集 第 31 回全国大会 (JSAI), 2017
混合確率的偏正準相関分析, 河野圭祐, 横山裕樹, 森裕紀, 浅田稔, 人工知能学会全国大会論文集 第 29 回全国大会 (JSAI), 2015
協調タスクによる記号的コミュニケーションシステムの創発シミュレーション, 河野圭祐, 森裕樹, 浅田稔, 第31回日本ロボット学会学術講演会 (RSJ), 2013
Researcher, Toyota Central R&D Labs., Inc., Apr. 2015 – Present
Ph.D. in Engineering, Graduate School of Science and Technology, University of Tsukuba , Apr. 2023 – Mar. 2024
M.E. in Mechanical Engineering, Graduate School of Engineering, Osaka University, Apr. 2013 – Mar. 2015
B.E. in Mechanical Engineering, School of Engineering, Osaka University, Apr. 2009 – Mar. 2013
DEIM2020, Online Interactive Award, S Koide, K Kawano, T Kutsuna (2020)
Kusumoto Award (2013)
Reviewing Activities
Neurips: 2020, 2021, 2022
ICLR: 2021,2022, 2024
ITSC: 2021
CVPR: 2022
IV: 2022
AISTATS: 2024