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Yuhei Umeda
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2020 – today
- 2024
- [c13]Sho Takemori, Yuhei Umeda, Aditya Gopalan:
Model-Based Best Arm Identification for Decreasing Bandits. AISTATS 2024: 1567-1575 - [c12]Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan:
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. ICLR 2024 - [i9]Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan:
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. CoRR abs/2403.18301 (2024) - 2023
- [c11]Kimihiro Yamazaki, Yuichiro Wada, Atsushi Tokuhisa, Mutsuyo Wada, Takashi Katoh, Yuhei Umeda, Yasushi Okuno, Akira Nakagawa:
An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and Its Application for Automatically Computing the Conformational Pathway. MICCAI (1) 2023: 394-404 - [c10]So Hasegawa, Masayuki Hiromoto, Akira Nakagawa, Yuhei Umeda:
Improving Predicate Representation in Scene Graph Generation by Self-Supervised Learning. WACV 2023: 2739-2748 - [c9]Kota Nakamura, Yasuko Matsubara, Koki Kawabata, Yuhei Umeda, Yuichiro Wada, Yasushi Sakurai:
Fast and Multi-aspect Mining of Complex Time-stamped Event Streams. WWW 2023: 1638-1649 - [i8]Kota Nakamura, Yasuko Matsubara, Koki Kawabata, Yuhei Umeda, Yuichiro Wada, Yasushi Sakurai:
Fast and Multi-aspect Mining of Complex Time-stamped Event Streams. CoRR abs/2303.03789 (2023) - [i7]Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu Radhakrishnan:
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. CoRR abs/2304.14738 (2023) - 2022
- [c8]Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu R.:
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. NeurIPS 2022 - [i6]Yuma Ichikawa, Akira Nakagawa, Hiromoto Masayuki, Yuhei Umeda:
Toward Unlimited Self-Learning Monte Carlo with Annealing Process Using VAE's Implicit Isometricity. CoRR abs/2211.14024 (2022) - 2021
- [c7]Martin Royer, Frédéric Chazal, Clément Levrard, Yuhei Umeda, Yuichi Ike:
ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning. AISTATS 2021: 1000-1008 - [c6]Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hariprasad Kannan, Yuhei Umeda:
Optimizing persistent homology based functions. ICML 2021: 1294-1303 - [c5]Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda:
Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs. IJCAI 2021: 2666-2672 - [i5]Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda:
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs. CoRR abs/2105.04404 (2021) - 2020
- [c4]Meryll Dindin, Yuhei Umeda, Frédéric Chazal:
Topological Data Analysis for Arrhythmia Detection Through Modular Neural Networks. Canadian AI 2020: 177-188 - [c3]Mathieu Carrière, Frédéric Chazal, Yuichi Ike, Théo Lacombe, Martin Royer, Yuhei Umeda:
PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures. AISTATS 2020: 2786-2796
2010 – 2019
- 2019
- [c2]Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hiroya Inakoshi, Raphaël Tinarrage, Yuhei Umeda:
DTM-Based Filtrations. SoCG 2019: 58:1-58:15 - [i4]Mathieu Carrière, Frédéric Chazal, Yuichi Ike, Théo Lacombe, Martin Royer, Yuhei Umeda:
A General Neural Network Architecture for Persistence Diagrams and Graph Classification. CoRR abs/1904.09378 (2019) - [i3]Meryll Dindin, Yuhei Umeda, Frédéric Chazal:
Topological Data Analysis for Arrhythmia Detection through Modular Neural Networks. CoRR abs/1906.05795 (2019) - [i2]Martin Royer, Frédéric Chazal, Yuichi Ike, Yuhei Umeda:
ATOL: Automatic Topologically-Oriented Learning. CoRR abs/1909.13472 (2019) - 2018
- [c1]Yoshinobu Iimura, Masashi Wakaiki, Katsumi Homma, Yuhei Umeda, Junji Kaneko, Hiroyuki Higuchi, Kazumi Kubota, Naoya Asami, Kazuto Ikeda:
Simultaneous Optimization of Statistical Model and Control Input Plan. ACC 2018: 1072-1077 - [i1]Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hiroya Inakoshi, Raphaël Tinarrage, Yuhei Umeda:
DTM-based filtrations. CoRR abs/1811.04757 (2018) - 2017
- [j2]Yuhei Umeda:
Time Series Classification via Topological Data Analysis. Inf. Media Technol. 12: 228-239 (2017)
2000 – 2009
- 2009
- [j1]Yuhei Umeda:
Constant-Mean-Curvature Surfaces with Singularities in Minkowski 3-Space. Exp. Math. 18(3): 311-323 (2009)
Coauthor Index
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