Akifumi Okuno

Orcid: 0000-0001-9621-8853

According to our database1, Akifumi Okuno authored at least 17 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Autoregressive With Slack Time Series Model for Forecasting a Partially-Observed Dynamical Time Series.
IEEE Access, 2024

2023
A stochastic optimization approach to train non-linear neural networks with a higher-order variation regularization.
CoRR, 2023

Forecasting of the development of a partially-observed dynamical time series with the aid of time-invariance and linearity.
CoRR, 2023

An interpretable neural network-based non-proportional odds model for ordinal regression with continuous response.
CoRR, 2023

2022
A Greedy and Optimistic Approach to Clustering with a Specified Uncertainty of Covariates.
CoRR, 2022

2021
Improving Nonparametric Classification via Local Radial Regression with an Application to Stock Prediction.
CoRR, 2021

A generalization gap estimation for overparameterized models via Langevin functional variance.
CoRR, 2021

2020
Studies on Neural Network-Based Graph Embedding and Its Extensions.
PhD thesis, 2020

Hyperlink regression via Bregman divergence.
Neural Networks, 2020

Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization.
CoRR, 2020

Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Robust Graph Embedding with Noisy Link Weights.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
On representation power of neural network-based graph embedding and beyond.
CoRR, 2018

A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

2016
Image and tag retrieval by leveraging image-group links with multi-domain graph embedding.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016


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