Rchr
J-GLOBAL ID:202101016718233078
Update date: Feb. 01, 2024
Inoue Hiroaki
イノウエ ヒロアキ | Inoue Hiroaki
Affiliation and department:
Job title:
Assistant Professor
Research field (2):
Soft computing
, Intelligent informatics
Research keywords (10):
知的学習論
, データ駆動化学
, データ同化
, 動的システム推定
, 確率的時系列解析
, Causal Discovery
, Causal Inference
, ベイズ統計
, 計算脳科学
, イメージングデータ
Research theme for competitive and other funds (1):
- 2022 - 2025 多次元時系列データに潜在する動的な因果構造のデータ駆動型推論アルゴリズムの構築
Papers (6):
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Hiroaki Inoue, Koji Hukushima, Toshiaki Omori. Estimating Distributions of Parameters in Nonlinear State Space Models with Replica Exchange Particle Marginal Metropolis-Hastings Method. Entropy. 2022. 24. 1. 115:1-20
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Hiroaki Inoue, Toshiaki Omori. Data-Driven Method for Estimating Neuronal Nonlinear Dynamics from Noisy Partial Observation. Proceedings of the 27th International Symposium on Artificial Life and Robotics. 2022
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Hiroaki Inoue, Koji Hukushima, Toshiaki Omori. Estimation of Neuronal Dynamics of Izhikevich Neuron Models from Spike-Train Data with Particle Markov Chain Monte Carlo Method. Journal of the Physical Society of Japan. 2021. 90. 10. 104801:1-9
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Hiroaki Inoue, Koji Hukushima, Toshiaki Omori. Replica Exchange Particle-Gibbs Method with Ancestor Sampling. Journal of the Physical Society of Japan. 2020. 89. 10. 104801:1-7
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Hiroaki Inoue, Toshiaki Omori. Bayesian Estimation of Neural Systems using Particle-Gibbs. ACM International Conference Proceeding Series. 2017
more...
Lectures and oral presentations (20):
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Data-driven Estimation of Nonlinear Dynamical Systems by Replica Exchange Particle Markov Chain Monte Carlo Method
(34th IUPAP Conference on Computational Physics 2023)
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動的サンプリングを用いた連合学習型勾配ブースティング決定木の継続学習
(第30回インテリジェント・システム・シンポジウム 2022)
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Simultaneous Estimation of Latent Variables and Parameters Using Self-Organizing State Space Model with Temperatures
(2022)
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温度の効果を導入した自己組織化状態空間モデルによる神経ダイナミクスの推定
(日本応用数理学会 2022年度年会 2022)
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ベイズ推論に基づく神経ネットワークのシステム同定
(次世代光散乱イメージング科学研究センターキックオフシンポジウム 2022)
more...
Education (3):
- 2018 - 2022 Kobe University Graduate School of Engineering Department of Electrical and Electronic Engineering
- 2015 - 2017 Kobe University Graduate School of Engineering Department of Electrical and Electronic Engineering
- 2011 - 2015 Kobe University Faculty of Engineering Department of Electrical and Electronic Engineering
Professional career (1):
- Doctor of Philosophy in Engineering (Kobe University)
Work history (2):
- 2022/04 - 現在 Kobe University Department of Electrical and Electronic Engineering, Graduate School of Engineering Assistant Professor
- 2018/05 - 2022/03 Kobe University Center for Mathematical and Data Sciences
Awards (2):
- 2022/06 - 一般社団法人日本応用数理学会 2021年度若手優秀講演賞 データ駆動型アプローチによる神経ネットワークのダイナミクス推定
- 2017/03 - Excellent Oral Presentation Award, 1st International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
Association Membership(s) (3):
情報処理学会
, システム制御情報学会
, 人工知能学会
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