Yuhei Umeda

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 23

Top Topics

Simultaneous Optimization

Trained Neural Network

Top Venues

Canadian Conference on AI

Publications

Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. CoRR (2024)
Sho Takemori, Yuhei Umeda, Aditya Gopalan
Model-Based Best Arm Identification for Decreasing Bandits. AISTATS (2024)
Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. ICLR (2024)
Kota Nakamura, Yasuko Matsubara, Koki Kawabata, Yuhei Umeda, Yuichiro Wada, Yasushi Sakurai
Fast and Multi-aspect Mining of Complex Time-stamped Event Streams. CoRR (2023)
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)
So Hasegawa, Masayuki Hiromoto, Akira Nakagawa, Yuhei Umeda
Improving Predicate Representation in Scene Graph Generation by Self-Supervised Learning. WACV (2023)
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)
Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu Radhakrishnan
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. CoRR (2023)
Yuma Ichikawa, Akira Nakagawa, Hiromoto Masayuki, Yuhei Umeda
Toward Unlimited Self-Learning Monte Carlo with Annealing Process Using VAE's Implicit Isometricity. CoRR (2022)
Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu R.
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. NeurIPS (2022)
Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs. CoRR (2021)
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)
Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hariprasad Kannan, Yuhei Umeda
Optimizing persistent homology based functions. ICML (2021)
Martin Royer, Frédéric Chazal, Clément Levrard, Yuhei Umeda, Yuichi Ike
ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning. AISTATS (2021)
Meryll Dindin, Yuhei Umeda, Frédéric Chazal
Topological Data Analysis for Arrhythmia Detection Through Modular Neural Networks. Canadian Conference on AI (2020)
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)
Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hiroya Inakoshi, Raphaël Tinarrage, Yuhei Umeda
DTM-Based Filtrations. SoCG (2019)
Mathieu Carrière, Frédéric Chazal, Yuichi Ike, Théo Lacombe, Martin Royer, Yuhei Umeda
A General Neural Network Architecture for Persistence Diagrams and Graph Classification. CoRR (2019)
Martin Royer, Frédéric Chazal, Yuichi Ike, Yuhei Umeda
ATOL: Automatic Topologically-Oriented Learning. CoRR (2019)
Meryll Dindin, Yuhei Umeda, Frédéric Chazal
Topological Data Analysis for Arrhythmia Detection through Modular Neural Networks. CoRR (2019)
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)
Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hiroya Inakoshi, Raphaël Tinarrage, Yuhei Umeda
DTM-based filtrations. CoRR (2018)
Yuhei Umeda
Time Series Classification via Topological Data Analysis. Inf. Media Technol. 12 (2017)
Yuhei Umeda
Constant-Mean-Curvature Surfaces with Singularities in Minkowski 3-Space. Exp. Math. 18 (3) (2009)