Yuhei Umeda

According to our database, Yuhei Umeda authored at least 16 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives.

Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan

CoRR, 2024

2023

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

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

Proceedings of the ACM Web Conference 2023, 2023

Improving Predicate Representation in Scene Graph Generation by Self-Supervised Learning.

So Hasegawa, Masayuki Hiromoto, Akira Nakagawa, Yuhei Umeda

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

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.

Kimihiro Yamazaki, Yuichiro Wada, Atsushi Tokuhisa, Mutsuyo Wada, Takashi Katoh, Yuhei Umeda, Yasushi Okuno, Akira Nakagawa

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

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

Yuma Ichikawa, Akira Nakagawa, Hiromoto Masayuki, Yuhei Umeda

CoRR, 2022

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

Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu R.

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs.

Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Optimizing persistent homology based functions.

Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hariprasad Kannan, Yuhei Umeda

Proceedings of the 38th International Conference on Machine Learning, 2021

ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning.

Martin Royer, Frédéric Chazal, Clément Levrard, Yuhei Umeda, Yuichi Ike

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures.

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

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Topological Data Analysis for Arrhythmia Detection Through Modular Neural Networks.

Meryll Dindin, Yuhei Umeda, Frédéric Chazal

Proceedings of the Advances in Artificial Intelligence, 2020

2019

ATOL: Automatic Topologically-Oriented Learning.

Martin Royer, Frédéric Chazal, Yuichi Ike, Yuhei Umeda

CoRR, 2019

A General Neural Network Architecture for Persistence Diagrams and Graph Classification.

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

CoRR, 2019

DTM-Based Filtrations.

Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hiroya Inakoshi, Raphaël Tinarrage, Yuhei Umeda

Proceedings of the 35th International Symposium on Computational Geometry, 2019

2018

Simultaneous Optimization of Statistical Model and Control Input Plan.

Yoshinobu Iimura, Masashi Wakaiki, Katsumi Homma, Yuhei Umeda, Junji Kaneko, Hiroyuki Higuchi, Kazumi Kubota, Naoya Asami, Kazuto Ikeda

Proceedings of the 2018 Annual American Control Conference, 2018

2009

Constant-Mean-Curvature Surfaces with Singularities in Minkowski 3-Space.

Yuhei Umeda

Exp. Math., 2009