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ORCIDTakuro Kutsuna
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2020 – today
- 2025
[i10]Takuro Kutsuna:
Exploring Variance Reduction in Importance Sampling for Efficient DNN Training. CoRR abs/2501.13296 (2025)- 2024
- [c14]Yasushi Esaki, Akihiro Nakamura, Keisuke Kawano, Ryoko Tokuhisa, Takuro Kutsuna:
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex. AISTATS 2024: 1666-1674 - [c13]Yasushi Esaki
, Satoshi Koide, Takuro Kutsuna:
One-Shot Domain Incremental Learning. IJCNN 2024: 1-8 - [i9]Keisuke Kawano, Takuro Kutsuna, Keisuke Sano:
How many views does your deep neural network use for prediction? CoRR abs/2402.01095 (2024) - [i8]Yasushi Esaki, Akihiro Nakamura, Keisuke Kawano, Ryoko Tokuhisa, Takuro Kutsuna:
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex. CoRR abs/2402.13765 (2024) - [i7]Takuro Kutsuna:
Linearly Constrained Weights: Reducing Activation Shift for Faster Training of Neural Networks. CoRR abs/2403.13833 (2024) - [i6]Yasushi Esaki, Satoshi Koide, Takuro Kutsuna:
One-Shot Domain Incremental Learning. CoRR abs/2403.16707 (2024) - [i5]Takuro Kutsuna:
Generalized Diffusion Model with Adjusted Offset Noise. CoRR abs/2412.03134 (2024) - 2023
- [j6]Keisuke Kawano, Takuro Kutsuna, Ryoko Tokuhisa, Akihiro Nakamura, Yasushi Esaki:
StyleDiff: Attribute comparison between unlabeled datasets in latent disentangled space. Image Vis. Comput. 138: 104808 (2023) - [i4]Keisuke Kawano, Takuro Kutsuna, Ryoko Tokuhisa, Akihiro Nakamura, Yasushi Esaki:
StyleDiff: Attribute Comparison Between Unlabeled Datasets in Latent Disentangled Space. CoRR abs/2303.05102 (2023) - [i3]Takuro Kutsuna:
Supervised Contrastive Learning with Heterogeneous Similarity for Distribution Shifts. CoRR abs/2304.03440 (2023) - 2021
- [c12]Satoshi Koide, Keisuke Kawano, Akihiro Nakamura, Takuro Kutsuna, Naoki Mitsumoto:
Finding Misdetections in Unlabeled Image Database: Toward Reliable Object Detection. ITSC 2021: 2738-2745 - [c11]Muneaki Suzuki, Yoshitaka Kameya, Takuro Kutsuna, Naoki Mitsumoto:
Understanding the Reason for Misclassification by Generating Counterfactual Images. MVA 2021: 1-5 - 2020
- [c10]Keisuke Kawano, Satoshi Koide, Takuro Kutsuna:
Learning Wasserstein Isometric Embedding for Point Clouds. 3DV 2020: 473-482 - [c9]Keisuke Kawano, Takuro Kutsuna, Satoshi Koide:
Neural Time Warping for Multiple Sequence Alignment. ICASSP 2020: 3837-3841 - [i2]Keisuke Kawano, Takuro Kutsuna, Satoshi Koide:
Neural Time Warping For Multiple Sequence Alignment. CoRR abs/2006.15753 (2020)
2010 – 2019
- 2019
- [c8]Keisuke Kawano, Satoshi Koide, Takuro Kutsuna:
Canonical Soft Time Warping. ACML 2019: 551-566 - [c7]Ruho Kondo, Keisuke Kawano, Satoshi Koide, Takuro Kutsuna:
Flow-based Image-to-Image Translation with Feature Disentanglement. NeurIPS 2019: 4170-4180 - [c6]Takuro Kutsuna:
Linearly Constrained Weights: Reducing Activation Shift for Faster Training of Neural Networks. ECML/PKDD (2) 2019: 266-282 - 2018
- [c5]Satoshi Koide, Keisuke Kawano, Takuro Kutsuna:
Neural Edit Operations for Biological Sequences. NeurIPS 2018: 4965-4975 - 2017
- [j5]Takuro Kutsuna, Akihiro Yamamoto:
Outlier detection using binary decision diagrams. Data Min. Knowl. Discov. 31(2): 548-572 (2017) - 2016
- [j4]Takuro Kutsuna, Yoshinao Ishii, Akihiro Yamamoto:
Abstraction and refinement of mathematical functions toward SMT-based test-case generation. Int. J. Softw. Tools Technol. Transf. 18(1): 109-120 (2016) - [c4]Takuro Kutsuna, Yoshinao Ishii:
Analyzing Unsatisfiability in Bounded Model Checking Using Max-SMT and Dual Slicing. FMICS-AVoCS 2016: 65-80 - [c3]Yoshinao Ishii, Takuro Kutsuna:
Effective Fault Localization Using Dynamic Slicing and an SMT Solver. ICST Workshops 2016: 180-188 - 2015
- [b1]Takuro Kutsuna:
Enhancing System Reliability using Abstraction and Efficient Logical Computation. Kyoto University, Japan, 2015 - 2014
- [j3]Takuro Kutsuna, Akihiro Yamamoto:
A parameter-free approach for one-class classification using binary decision diagrams. Intell. Data Anal. 18(5): 889-910 (2014) - [c2]Takuro Kutsuna, Akihiro Yamamoto:
Outlier Detection Based on Leave-One-Out Density Using Binary Decision Diagrams. PAKDD (2) 2014: 486-497 - 2012
- [j2]Takuro Kutsuna, Shuichi Sato, Naoya Chujo:
Efficient Root Cause Detection in Complex Embedded Systems with Abstract Model-based Diagnosis. Inf. Media Technol. 7(3): 1044-1050 (2012) - [j1]Takuro Kutsuna, Shuichi Sato, Naoya Chujo:
Efficient Root Cause Detection in Complex Embedded Systems with Abstract Model-based Diagnosis. J. Inf. Process. 20(3): 767-773 (2012) - [i1]Ichiro Hasuo, Takuro Kutsuna, Toshimitsu Ushio:
Hybrid Systems: Theory and Practice, Seriously (NII Shonan Meeting 2012-2). NII Shonan Meet. Rep. 2012 (2012) - 2010
- [c1]Takuro Kutsuna:
A Binary Decision Diagram-Based One-Class Classifier. ICDM 2010: 284-293
Coauthor Index
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