Yuhei Umeda

Orcid: 0000-0001-8244-282X

According to our database1, Yuhei Umeda authored at least 19 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Deep Mapper: Efficient Visualization of Plausible Conformational Pathways.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Model-Based Best Arm Identification for Decreasing Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Fast and Multi-aspect Mining of Complex Time-stamped Event Streams.
Proceedings of the ACM Web Conference 2023, 2023

Improving Predicate Representation in Scene Graph Generation by Self-Supervised Learning.
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.
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.
CoRR, 2022

Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics.
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.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Optimizing persistent homology based functions.
Proceedings of the 38th International Conference on Machine Learning, 2021

ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning.
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.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Topological Data Analysis for Arrhythmia Detection Through Modular Neural Networks.
Proceedings of the Advances in Artificial Intelligence, 2020

2019
ATOL: Automatic Topologically-Oriented Learning.
CoRR, 2019

A General Neural Network Architecture for Persistence Diagrams and Graph Classification.
CoRR, 2019

DTM-Based Filtrations.
Proceedings of the 35th International Symposium on Computational Geometry, 2019

2018
Simultaneous Optimization of Statistical Model and Control Input Plan.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Time Series Classification via Topological Data Analysis.
Inf. Media Technol., 2017

2009
Constant-Mean-Curvature Surfaces with Singularities in Minkowski 3-Space.
Exp. Math., 2009


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