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Yuhei Umeda

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Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics

Apr 28, 2023
Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu Radhakrishnan

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Fast and Multi-aspect Mining of Complex Time-stamped Event Streams

Mar 07, 2023
Kota Nakamura, Yasuko Matsubara, Koki Kawabata, Yuhei Umeda, Yuichiro Wada, Yasushi Sakurai

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Toward Unlimited Self-Learning Monte Carlo with Annealing Process Using VAE's Implicit Isometricity

Nov 25, 2022
Yuma Ichikawa, Akira Nakagawa, Hiromoto Masayuki, Yuhei Umeda

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Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs

May 07, 2021
Théo Lacombe, Yuichi Ike, Mathieu Carriere, Frédéric Chazal, Marc Glisse, Yuhei Umeda

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ATOL: Automatic Topologically-Oriented Learning

Sep 30, 2019
Martin Royer, Frédéric Chazal, Yuichi Ike, Yuhei Umeda

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Topological Data Analysis for Arrhythmia Detection through Modular Neural Networks

Jun 13, 2019
Meryll Dindin, Yuhei Umeda, Frederic Chazal

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PersLay: A Simple and Versatile Neural Network Layer for Persistence Diagrams

Jun 05, 2019
Mathieu Carrière, Frédéric Chazal, Yuichi Ike, Théo Lacombe, Martin Royer, Yuhei Umeda

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A General Neural Network Architecture for Persistence Diagrams and Graph Classification

Apr 20, 2019
Mathieu Carrière, Frédéric Chazal, Yuichi Ike, Théo Lacombe, Martin Royer, Yuhei Umeda

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