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Ryuichiro Hataya
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18
Noncommutative
C^*
-algebra Net: Learning Neural Networks with Powerful Product Structure in
C^*
-algebra
6 July 2024 by
Ryuichiro Hataya
and
Yuka Hashimoto
Operator Algebras
,
Machine Learning
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
30 May 2024 by
Hiroki Naganuma
and
others
Machine Learning
,
Artificial Intelligence
Automatic Domain Adaptation by Transformers in In-Context Learning
27 May 2024 by
Ryuichiro Hataya
and
others
Machine Learning
Glocal Hypergradient Estimation with Koopman Operator
26 May 2024 by
Ryuichiro Hataya
and
Yoshinobu Kawahara
Machine Learning
Quantum Circuit
C^*
-algebra Net
9 April 2024 by
Yuka Hashimoto
and
Ryuichiro Hataya
Machine Learning
,
Operator Algebras
Self-attention Networks Localize When QK-eigenspectrum Concentrates
3 February 2024 by
Han Bao
and
others
Machine Learning
Will Large-scale Generative Models Corrupt Future Datasets?
10 August 2023 by
Ryuichiro Hataya
and
others
Computer Vision and Pattern Recognition
MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era
29 June 2023 by
Leonardo Placidi
and
others
Quantum Physics
,
Machine Learning
Sketch-based Medical Image Retrieval
7 March 2023 by
Kazuma Kobayashi
and
others
Computer Vision and Pattern Recognition
Nystrom Method for Accurate and Scalable Implicit Differentiation
20 February 2023 by
Ryuichiro Hataya
and
Makoto Yamada
Machine Learning
Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval
23 March 2021 by
Kazuma Kobayashi
and
others
Computer Vision and Pattern Recognition
Graph Energy-based Model for Substructure Preserving Molecular Design
9 February 2021 by
Ryuichiro Hataya
and
others
Chemical Physics
,
Machine Learning
Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval
12 November 2020 by
Kazuma Kobayashi
and
others
Image and Video Processing
,
Computer Vision and Pattern Recognition
Meta Approach to Data Augmentation Optimization
14 June 2020 by
Ryuichiro Hataya
and
others
Computer Vision and Pattern Recognition
Unsupervised Brain Abnormality Detection Using High Fidelity Image Reconstruction Networks
2 June 2020 by
Kazuma Kobayashi
and
others
Image and Video Processing
,
Computer Vision and Pattern Recognition
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation
16 November 2019 by
Ryuichiro Hataya
and
others
Computer Vision and Pattern Recognition
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
17 July 2019 by
Leonardo Rundo
and
others
Computer Vision and Pattern Recognition
,
Machine Learning
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study
29 March 2019 by
Claudio Ferretti
and
others
Computer Vision and Pattern Recognition
,
Artificial Intelligence
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Key points
Topics
Machine Learning
Computer Vision and Pattern Recognition
Artificial Intelligence
Operator Algebras
Quantum Physics
Image and Video Processing
Functional Analysis
Chemical Physics