Keisuke Kawano

26 papers A* 5A 1B 2C 2Misc 1Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
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
Minimal sufficient views: A DNN model making predictions with more evidence has higher accuracy.
Neural Networks
Keisuke Kawano, Takuro Kutsuna, Keisuke Sano
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
How many views does your deep neural network use for prediction?
CoRR
Keisuke Kawano, Takuro Kutsuna, Keisuke Sano
2024 J jnl
Multi-Dimensional Fused Gromov Wasserstein Discrepancy for Edge-Attributed Graphs.
IEICE Trans. Inf. Syst.
Keisuke Kawano, Satoshi Koide, Hiroaki Shiokawa, Toshiyuki Amagasa
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
2022 B conf
Enhancing Contextual Word Representations Using Embedding of Neighboring Entities in Knowledge Graphs.
COLING
Ryoko Tokuhisa, Keisuke Kawano, Akihiro Nakamura, Satoshi Koide
2022 A* conf
Partial Wasserstein Covering.
AAAI
Keisuke Kawano, Satoshi Koide, Keisuke Otaki
2021 — conf
Finding Misdetections in Unlabeled Image Database: Toward Reliable Object Detection.
ITSC
Satoshi Koide, Keisuke Kawano, Akihiro Nakamura, Takuro Kutsuna, Naoki Mitsumoto
2021 A* conf
PLG-IN: Pluggable Geometric Consistency Loss with Wasserstein Distance in Monocular Depth Estimation.
ICRA
Noriaki Hirose, Satoshi Koide, Keisuke Kawano, Ruho Kondo
2021 J jnl
Partial Wasserstein Covering.
CoRR
Keisuke Kawano, Satoshi Koide, Keisuke Otaki
2021 — conf
Variational Monocular Depth Estimation for Reliability Prediction.
3DV
Noriaki Hirose, Shun Taguchi, Keisuke Kawano, Satoshi Koide
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
2020 J jnl
PLG-IN: Pluggable Geometric Consistency Loss with Wasserstein Distance in Monocular Depth Estimation.
CoRR
Noriaki Hirose, Satoshi Koide, Keisuke Kawano, Ruho Kondo
2020 J jnl
Seq2seq Fingerprint with Byte-Pair Encoding for Predicting Changes in Protein Stability upon Single Point Mutation.
IEEE ACM Trans. Comput. Biol. Bioinform.
Keisuke Kawano, Satoshi Koide, Chie Imamura
2020 J jnl
Variational Monocular Depth Estimation for Reliability Prediction.
CoRR
Noriaki Hirose, Shun Taguchi, Keisuke Kawano, 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
2018 A* conf
Neural Edit Operations for Biological Sequences.
NeurIPS
Satoshi Koide, Keisuke Kawano, Takuro Kutsuna
2017 B conf
Causal Patterns: Extraction of Multiple Causal Relationships by Mixture of Probabilistic Partial Canonical Correlation Analysis.
DSAA
Hiroki Mori, Keisuke Kawano, Hiroki Yokoyama
2013 C conf
RoboCup 2013: Best Humanoid Award Winner JoiTech.
RoboCup
Yuji Oshima, Dai Hirose, Syohei Toyoyama, Keisuke Kawano, Shibo Qin, Tomoya Suzuki, Kazumasa Shibata, Takashi Takuma, Minoru Asada
2006 A* conf
Mixed reality pre-visualization and camera-work authoring in filmmaking.
ISMAR
Ryosuke Ichikari, Keisuke Kawano, Asako Kimura, Fumihisa Shibata, Hideyuki Tamura