Takuro Kutsuna

37 papers A* 3A 1B 1C 1Misc 2Journal 21Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	An Asymptotic Equation Linking WAIC and WBIC in Singular Models. ICONIP (1) Naoki Hayashi, Takuro Kutsuna, Sawa Takamuku
2025	J	`jnl`	An Asymptotic Equation Linking WAIC and WBIC in Singular Models. CoRR Naoki Hayashi, Takuro Kutsuna, Sawa Takamuku
2025	J	`jnl`	CT-OT Flow: Estimating Continuous-Time Dynamics from Discrete Temporal Snapshots. CoRR Keisuke Kawano, Takuro Kutsuna, Naoki Hayashi, Yasushi Esaki, Hidenori Tanaka
2025	J	`jnl`	Exploring Variance Reduction in Importance Sampling for Efficient DNN Training. CoRR Takuro Kutsuna
2025	J	`jnl`	Exploring Variance Reduction in Importance Sampling for Efficient DNN Training. SIAM J. Math. Data Sci. Takuro Kutsuna
2025	J	`jnl`	Minimal sufficient views: A DNN model making predictions with more evidence has higher accuracy. Neural Networks Keisuke Kawano, Takuro Kutsuna, Keisuke Sano
2025	J	`jnl`	Residual Prior Diffusion: A Probabilistic Framework Integrating Coarse Latent Priors with Diffusion Models. CoRR Takuro Kutsuna
2024	A	`conf`	Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex. AISTATS Yasushi Esaki, Akihiro Nakamura, Keisuke Kawano, Ryoko Tokuhisa, Takuro Kutsuna
2024	J	`jnl`	Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex. CoRR Yasushi Esaki, Akihiro Nakamura, Keisuke Kawano, Ryoko Tokuhisa, Takuro Kutsuna
2024	J	`jnl`	Generalized Diffusion Model with Adjusted Offset Noise. CoRR Takuro Kutsuna
2024	J	`jnl`	How many views does your deep neural network use for prediction? CoRR Keisuke Kawano, Takuro Kutsuna, Keisuke Sano
2024	J	`jnl`	Linearly Constrained Weights: Reducing Activation Shift for Faster Training of Neural Networks. CoRR Takuro Kutsuna
2024	B	`conf`	One-Shot Domain Incremental Learning. IJCNN Yasushi Esaki, Satoshi Koide, Takuro Kutsuna
2024	J	`jnl`	One-Shot Domain Incremental Learning. CoRR Yasushi Esaki, Satoshi Koide, Takuro Kutsuna
2023	J	`jnl`	StyleDiff: Attribute Comparison Between Unlabeled Datasets in Latent Disentangled Space. CoRR Keisuke Kawano, Takuro Kutsuna, Ryoko Tokuhisa, Akihiro Nakamura, Yasushi Esaki
2023	J	`jnl`	StyleDiff: Attribute comparison between unlabeled datasets in latent disentangled space. Image Vis. Comput. Keisuke Kawano, Takuro Kutsuna, Ryoko Tokuhisa, Akihiro Nakamura, Yasushi Esaki
2023	J	`jnl`	Supervised Contrastive Learning with Heterogeneous Similarity for Distribution Shifts. CoRR Takuro Kutsuna
2021	—	`conf`	Finding Misdetections in Unlabeled Image Database: Toward Reliable Object Detection. ITSC Satoshi Koide, Keisuke Kawano, Akihiro Nakamura, Takuro Kutsuna, Naoki Mitsumoto
2021	Misc	`conf`	Understanding the Reason for Misclassification by Generating Counterfactual Images. MVA Muneaki Suzuki, Yoshitaka Kameya, Takuro Kutsuna, Naoki Mitsumoto
2020	—	`conf`	Learning Wasserstein Isometric Embedding for Point Clouds. 3DV Keisuke Kawano, Satoshi Koide, Takuro Kutsuna
2020	J	`jnl`	Neural Time Warping For Multiple Sequence Alignment. CoRR Keisuke Kawano, Takuro Kutsuna, Satoshi Koide
2020	Misc	`conf`	Neural Time Warping for Multiple Sequence Alignment. ICASSP Keisuke Kawano, Takuro Kutsuna, Satoshi Koide
2019	C	`conf`	Canonical Soft Time Warping. ACML Keisuke Kawano, Satoshi Koide, Takuro Kutsuna
2019	A*	`conf`	Flow-based Image-to-Image Translation with Feature Disentanglement. NeurIPS Ruho Kondo, Keisuke Kawano, Satoshi Koide, Takuro Kutsuna
2019	—	`conf`	Linearly Constrained Weights: Reducing Activation Shift for Faster Training of Neural Networks. ECML/PKDD (2) Takuro Kutsuna
2018	A*	`conf`	Neural Edit Operations for Biological Sequences. NeurIPS Satoshi Koide, Keisuke Kawano, Takuro Kutsuna
2017	J	`jnl`	Outlier detection using binary decision diagrams. Data Min. Knowl. Discov. Takuro Kutsuna, Akihiro Yamamoto
2016	J	`jnl`	Abstraction and refinement of mathematical functions toward SMT-based test-case generation. Int. J. Softw. Tools Technol. Transf. Takuro Kutsuna, Yoshinao Ishii, Akihiro Yamamoto
2016	—	`conf`	Analyzing Unsatisfiability in Bounded Model Checking Using Max-SMT and Dual Slicing. FMICS-AVoCS Takuro Kutsuna, Yoshinao Ishii
2016	—	`conf`	Effective Fault Localization Using Dynamic Slicing and an SMT Solver. ICST Workshops Yoshinao Ishii, Takuro Kutsuna
2015	—	`—`	Enhancing System Reliability using Abstraction and Efficient Logical Computation. Takuro Kutsuna
2014	J	`jnl`	A parameter-free approach for one-class classification using binary decision diagrams. Intell. Data Anal. Takuro Kutsuna, Akihiro Yamamoto
2014	—	`conf`	Outlier Detection Based on Leave-One-Out Density Using Binary Decision Diagrams. PAKDD (2) Takuro Kutsuna, Akihiro Yamamoto
2012	J	`jnl`	Efficient Root Cause Detection in Complex Embedded Systems with Abstract Model-based Diagnosis. Inf. Media Technol. Takuro Kutsuna, Shuichi Sato, Naoya Chujo
2012	J	`jnl`	Efficient Root Cause Detection in Complex Embedded Systems with Abstract Model-based Diagnosis. J. Inf. Process. Takuro Kutsuna, Shuichi Sato, Naoya Chujo
2012	J	`jnl`	Hybrid Systems: Theory and Practice, Seriously (NII Shonan Meeting 2012-2). NII Shonan Meet. Rep. Ichiro Hasuo, Takuro Kutsuna, Toshimitsu Ushio
2010	A*	`conf`	A Binary Decision Diagram-Based One-Class Classifier. ICDM Takuro Kutsuna