学位

• 博士（工学）(大阪大学)

経歴

学歴

受賞

• Best Paper Award
• ベストプレゼンテーション賞
• ベストプレゼンテーション賞
• 全国大会優秀賞

その他

論文

• Path-Specific Counterfactual Fairness via Dividend Correction [Othres link]
• Enhancing constituent estimation in nucleic acid mixture models using spectral annealing inference and MS/MS information [DOI] [Othres link]
• Data Cleansing for GANs [DOI] [Othres link] [ResearchMap]
• Fast Stealthily Biased Sampling Using Sliced Wasserstein Distance [Othres link] [ResearchMap]
• Active model selection: A variance minimization approach [DOI] [Othres link] [Othres link] [ResearchMap] [ResearchMap] [ResearchMap]
• Prediction of the binding energy of self interstitial atoms in alpha iron by a graph neural network [DOI]
• A Bayesian approach for constituent estimation in nucleic acid mixture models [DOI] [Othres link]
• Rule Mining for Correcting Classification Models [DOI] [DBLP] [Othres link] [ResearchMap]
• Average Sensitivity of Decision Tree Learning [Othres link]
• Fooling SHAP with Stealthily Biased Sampling [Othres link]
• Rule Mining for Correcting Classification Models. [DOI] [DBLP] [Othres link]
• Bayesian optimization-driven parallel-screening of multiple parameters for the flow synthesis of biaryl compounds [DOI] [Scopus] [Scopus]
• Search strategy for rare microstructure to optimize material properties of filled rubber using machine learning based simulation [DOI] [Othres link]
• Explainable and Local Correction of Classification Models Using Decision Trees [Othres link]
• Characterizing the risk of fairwashing [DBLP] [Othres link] [Othres link]
• Analysis on Microstructure–Property Linkages of Filled Rubber Using Machine Learning and Molecular Dynamics Simulations [DOI] [Othres link]
• Energy-, time-, and labor-saving synthesis of α-ketiminophosphonates: machine-learning-assisted simultaneous multiparameter screening for electrochemical oxidation [DOI] [Web of Scientce] [Othres link]
• Evaluation of Similarity-based Explanations [Othres link]
• Synthesis of computer simulation and machine learning for achieving the best material properties of filled rubber [DOI] [Othres link] [Othres link]
• Erratum: Exploration of flow reaction conditions using machine-learning for enantioselective organocatalyzed Rauhut-Currier and [3+2] annulation sequence (Chem. Commun. (2020) 56 (1259-1262) DOI: 10.1039/C9CC08526B) [DOI] [PubMed]
• Interpretable Companions for Black-Box Models [Othres link]
• Faking Fairness via Stealthily Biased Sampling [Othres link]
• Efficient prediction of flow reaction conditions using machine-learning for sequential Rauhut-Currier and [3+2] annulation [Othres link]
• Quantile Regression Approach to Conditional Mode Estimation [Othres link]
• Data Cleansing for Models Trained with SGD. [Othres link]
• SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA [DBLP] [Othres link]
• Convex Hull Approximation of Nearly Optimal Lasso Solutions [Othres link]
• Fairwashing: the risk of rationalization [Othres link]
• Enumeration of Distinct Support Vectors for Interactive Decision Making. [DBLP] [Othres link]
• Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach [arXiv] [Othres link] [Othres link]
• Maximally Invariant Data Perturbation as Explanation. [DBLP] [Othres link] [Othres link]
• Approximate and Exact Enumeration of Rule Models. [DBLP] [Othres link]
• Discounted average degree density metric and new algorithms for the densest subgraph problem [DOI] [Web of Scientce] [Othres link]
• Consistent Nonparametric Different-Feature Selection via the Sparsest $k$-Subgraph Problem [arXiv] [Othres link]
• Consistent and Efficient Nonparametric Different-Feature Selection [Web of Scientce] [Othres link]
• Enumerate Lasso Solutions for Feature Selection [Othres link]
• Enumerate Lasso Solutions for Feature Selection. [DBLP] [Othres link] [Othres link]
• Finding Alternate Features in Lasso [Othres link]
• Quantum-state anomaly detection for arbitrary errors using a machine-learning technique [DOI] [Web of Scientce] [Othres link]
• Making Tree Ensembles Interpretable [Othres link]
• A Consistent Method for Graph Based Anomaly Localization [Othres link]
• Anomaly detection in reconstructed quantum states using a machine-learning technique [DOI] [Web of Scientce] [Othres link]
• A MULTI-OBJECTIVE GENETIC ALGORITHM USING INTERMEDIATE FEATURES OF SIMULATIONS [DOI] [Web of Scientce] [Othres link]
• PREDICTING HALFWAY THROUGH SIMULATION: EARLY SCENARIO EVALUATION USING INTERMEDIATE FEATURES OF AGENT-BASED SIMULATIONS [DOI] [Web of Scientce] [Othres link]
• Learning a common substructure of multiple graphical Gaussian models [DOI] [Web of Scientce] [Othres link]
• Separation of stationary and non-stationary sources with a generalized eigenvalue problem [DOI] [Web of Scientce] [Othres link]
• Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method [DOI] [Web of Scientce] [Othres link]
• Anomalous Neighborhood Selection [DOI] [Web of Scientce] [Othres link]
• Common Substructure Learning of Multiple Graphical Gaussian Models [DOI] [Web of Scientce] [Othres link]
• Direct density ratio estimation with dimensionality reduction [Othres link] [Scopus] [Scopus]
• Stationary Subspace Analysis as a Generalized Eigenvalue Problem [DOI] [Web of Scientce] [Othres link]

その他業績

• スライスワッサースタイン距離を用いた高速なStealthily Biased Sampling [ResearchMap]
• 低分散で省メモリな勾配推定のためのForward Gradientと誤差逆伝播法の結合
• 細胞の構造的特徴の機械学習による視覚的抽出
• レベル集合推定に基づく機械学習モデルの能動的評価 [ResearchMap]
• 限界貢献を利用した不公平なモデルの修正 [Othres link]
• 少量のラベル付けによる複数モデルの性能比較 [Othres link]
• 決定損失の期待値と分散を用いた分類モデルの較正 [Othres link]
• 階層クラスタリングの安定化 [Othres link]
• 完全分散型学習の通信ネットワークの勾配法による最適化 [Othres link]
• 機械学習モデルの判断根拠の説明​ 〜 Explainable AI 研究の近年の展開 〜 [Othres link] [Othres link]
• ユーザーの納得感を考慮した線形モデルの重み付きLassoによる定式化と一解法 (特集 「命題論理の充足可能性問題SATの最新動向」および一般) [DOI] [CiNii Research (CiNii Articles)] [CiNii Books] [Othres link]
• 機械学習モデルの判断根拠の説明（Ver.2） [Othres link]
• 異常の定義と推定 [Othres link]
• 説明可能AI（私のブックマーク） [Othres link]
• 機械学習モデルの判断根拠の説明 [Othres link] [Othres link]
• 機械学習における解釈性（私のブックマーク） [Othres link]
• 機械学習モデルの列挙 [J-GLOBAL] [Othres link]
• 衝突シミュレーションのデータマイニングによる衝突性能予測と知識発見 [CiNii Research (CiNii Articles)] [CiNii Books] [Othres link]
• 26pBB-6 量子状態データマイニング(量子エレクトロニクス(量子光学・微小共振器・近接場光学),領域1(原子・分子,量子エレクトロニクス,放射線物理)) [CiNii Research (CiNii Articles)] [CiNii Books]
• 異常箇所同定のためのグラフィカルモデルの学習 [CiNii Research (CiNii Articles)] [CiNii Books] [Othres link]
• DAL-ADMMアルゴリズムによるスパース共分散選択 (人工知能学会全国大会(第26回)文化,科学技術と未来) -- (機械学習) [CiNii Research (CiNii Articles)] [CiNii Books] [Othres link]
• クラスタ構造を有するグラフィカル・ガウシアン・モデルの構造推定 (情報論的学習理論と機械学習) [CiNii Research (CiNii Articles)] [CiNii Books] [Othres link]
• 複数グラフィカル・ガウシアン・モデルの共通部分構造の学習 [CiNii Research (CiNii Articles)] [CiNii Books] [Othres link]
• 複数データセットからのガウシアングラフィカルモデルの同時構造推定 [CiNii Research (CiNii Articles)] [CiNii Books] [Othres link]

講演・口頭発表等

書籍等出版物

• 機械学習工学 [CiNii Books]

作品等

共同研究・競争的資金等の研究課題

• 意思決定・知識発見を行うアルゴリズムの低感度化
• 機械学習モデルの能動的評価
• 機械学習を用いたデータ駆動型熱流体解析の基盤開発
• 時空間共有型サービスのためのパーソナライズドプライシング
• 機械学習モデルの説明駆動開発のための基盤技術
• 機械学習モデルとユーザのコミュニケーション:モデルの説明と修正
• 複数疾病を伴う高齢入院患者の予後予測因子の同定：機械学習モデルの解釈性の向上
• 深層学習モデルの判断根拠提示のための統一的方法の開発
• 多変量データに内在する多項関係構造の定常・非定常成分への分解

メディア報道

• 阪大など、AIの階層型クラスタ分析を安定化 分岐構造、同型作成で高性能実現()
• ＡＩの判断根拠説明、妥当性を評価 東北大・阪大が方法論()
• 東北大と阪大、AIの説明能力を客観的に評価するための方法論を構築()
• ぼやけた画像ＡＩで高速修正 阪大、学習データも少なく()
• 見えてきた説明可能AIの「限界」、代表格LIMEとSHAPの最新動向を知る()
• XAIの進化で、AIのブラックボックス問題は解決するのか(リクルートワークス研究所)
• 説明できるＡＩへ、進む研究 結論だけ提示、「思考」はブラックボックス()

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