Takuro Kutsuna

According to our database, Takuro Kutsuna authored at least 23 papers between 2010 and 2024.

Collaborative distances:

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

2024

How many views does your deep neural network use for prediction?

Keisuke Kawano, Takuro Kutsuna, Keisuke Sano

CoRR, 2024

One-Shot Domain Incremental Learning.

Yasushi Esaki, Satoshi Koide, Takuro Kutsuna

Proceedings of the International Joint Conference on Neural Networks, 2024

Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex.

Yasushi Esaki, Akihiro Nakamura, Keisuke Kawano, Ryoko Tokuhisa, Takuro Kutsuna

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

StyleDiff: Attribute comparison between unlabeled datasets in latent disentangled space.

Keisuke Kawano, Takuro Kutsuna, Ryoko Tokuhisa, Akihiro Nakamura, Yasushi Esaki

Image Vis. Comput., October, 2023

Supervised Contrastive Learning with Heterogeneous Similarity for Distribution Shifts.

Takuro Kutsuna

CoRR, 2023

2021

Understanding the Reason for Misclassification by Generating Counterfactual Images.

Muneaki Suzuki, Yoshitaka Kameya, Takuro Kutsuna, Naoki Mitsumoto

Proceedings of the 17th International Conference on Machine Vision and Applications, 2021

Finding Misdetections in Unlabeled Image Database: Toward Reliable Object Detection.

Satoshi Koide, Keisuke Kawano, Akihiro Nakamura, Takuro Kutsuna, Naoki Mitsumoto

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

Neural Time Warping for Multiple Sequence Alignment.

Keisuke Kawano, Takuro Kutsuna, Satoshi Koide

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Learning Wasserstein Isometric Embedding for Point Clouds.

Keisuke Kawano, Satoshi Koide, Takuro Kutsuna

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Linearly Constrained Weights: Reducing Activation Shift for Faster Training of Neural Networks.

Takuro Kutsuna

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Flow-based Image-to-Image Translation with Feature Disentanglement.

Ruho Kondo, Keisuke Kawano, Satoshi Koide, Takuro Kutsuna

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Canonical Soft Time Warping.

Keisuke Kawano, Satoshi Koide, Takuro Kutsuna

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Neural Edit Operations for Biological Sequences.

Satoshi Koide, Keisuke Kawano, Takuro Kutsuna

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Outlier detection using binary decision diagrams.

Takuro Kutsuna, Akihiro Yamamoto

Data Min. Knowl. Discov., 2017

2016

Abstraction and refinement of mathematical functions toward SMT-based test-case generation.

Takuro Kutsuna, Yoshinao Ishii, Akihiro Yamamoto

Int. J. Softw. Tools Technol. Transf., 2016

Effective Fault Localization Using Dynamic Slicing and an SMT Solver.

Yoshinao Ishii, Takuro Kutsuna

Proceedings of the Ninth IEEE International Conference on Software Testing, 2016

Analyzing Unsatisfiability in Bounded Model Checking Using Max-SMT and Dual Slicing.

Takuro Kutsuna, Yoshinao Ishii

Proceedings of the Critical Systems: Formal Methods and Automated Verification, 2016

2015

Enhancing System Reliability using Abstraction and Efficient Logical Computation.

Takuro Kutsuna

PhD thesis, 2015

2014

A parameter-free approach for one-class classification using binary decision diagrams.

Takuro Kutsuna, Akihiro Yamamoto

Intell. Data Anal., 2014

Outlier Detection Based on Leave-One-Out Density Using Binary Decision Diagrams.

Takuro Kutsuna, Akihiro Yamamoto

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2012

Hybrid Systems: Theory and Practice, Seriously (NII Shonan Meeting 2012-2).

Ichiro Hasuo, Takuro Kutsuna, Toshimitsu Ushio

NII Shonan Meet. Rep., 2012

Efficient Root Cause Detection in Complex Embedded Systems with Abstract Model-based Diagnosis.

Takuro Kutsuna, Shuichi Sato, Naoya Chujo

J. Inf. Process., 2012

2010

A Binary Decision Diagram-Based One-Class Classifier.

Takuro Kutsuna

Proceedings of the ICDM 2010, 2010