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Satoshi Hara
Satoshi Hara
Professor, The University of Electro-Communication
Verified email at uec.ac.jp
Title
Cited by
Cited by
Year
Fairwashing: the risk of rationalization
U Aïvodji, H Arai, O Fortineau, S Gambs, S Hara, A Tapp
Proceedings of the 36th International Conference on Machine Learning (ICML …, 0
162*
Making tree ensembles interpretable: A Bayesian model selection approach
S Hara, K Hayashi
Proceedings of the 21th International Conference on Artificial Intelligence …, 2016
1392016
Making Tree Ensembles Interpretable
S Hara, K Hayashi
2016 Workshop on Human Interpretability in Machine Learning, 81-85, 2016
1092016
Data Cleansing for Models Trained with SGD
S Hara, A Nitanda, T Maehara
Advances in Neural Information Processing Systems 32 (NeurIPS'19), 2019
762019
Separation of stationary and non-stationary sources with a generalized eigenvalue problem
S Hara, Y Kawahara, T Washio, P Von BüNau, T Tokunaga, K Yumoto
Neural networks 33, 7-20, 2012
652012
Enumerate lasso solutions for feature selection
S Hara, T Maehara
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
632017
Quantile regression approach to conditional mode estimation
H Ota, K Kato, S Hara
562019
Exploration of flow reaction conditions using machine-learning for enantioselective organocatalyzed Rauhut–Currier and [3+ 2] annulation sequence
M Kondo, HDP Wathsala, M Sako, Y Hanatani, K Ishikawa, S Hara, ...
Chemical communications 56 (8), 1259-1262, 2020
532020
Evaluation of similarity-based explanations
K Hanawa, S Yokoi, S Hara, K Inui
arXiv preprint arXiv:2006.04528, 2020
452020
Learning a common substructure of multiple graphical Gaussian models
S Hara, T Washio
Neural Networks 38, 23-38, 2012
402012
Characterizing the risk of fairwashing
U Aïvodji, H Arai, S Gambs, S Hara
Advances in Neural Information Processing Systems 34, 14822-14834, 2021
262021
Stationary subspace analysis as a generalized eigenvalue problem
S Hara, Y Kawahara, T Washio, P Von Bünau
Neural Information Processing. Theory and Algorithms: 17th International …, 2010
232010
Energy-, time-, and labor-saving synthesis of α-ketiminophosphonates: Machine-learning-assisted simultaneous multiparameter screening for electrochemical oxidation
M Kondo, A Sugizaki, MI Khalid, HDP Wathsala, K Ishikawa, S Hara, ...
Green Chemistry 23 (16), 5825-5831, 2021
222021
Synthesis of computer simulation and machine learning for achieving the best material properties of filled rubber
T Kojima, T Washio, S Hara, M Koishi
Scientific Reports 10 (1), 18127, 2020
182020
Bayesian optimization-driven parallel-screening of multiple parameters for the flow synthesis of biaryl compounds
M Kondo, HDP Wathsala, MSH Salem, K Ishikawa, S Hara, T Takaai, ...
Communications Chemistry 5 (1), 148, 2022
172022
Anomaly Detection in Reconstructed Quantum States Using a Machine-Learning Technique
Satoshi Hara, Takafumi Ono, Ryo Okamoto, Takashi Washio, Shigeki Takeuchi
Physical Review A 89 (2), 022104, 2014
172014
Interpretable companions for black-box models
D Pan, T Wang, S Hara
International conference on artificial intelligence and statistics, 2444-2454, 2020
162020
Faking Fairness via Stealthily Biased Sampling
K Fukuchi, S Hara, T Maehara
arXiv preprint arXiv:1901.08291, 2019
15*2019
Approximate and exact enumeration of rule models
S Hara, M Ishihata
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
152018
A Consistent Method for Graph Based Anomaly Localization
Satoshi Hara, Tetsuro Morimura, Toshihiro Takahashi, Hiroki Yanagisawa ...
Proceedings of the Eighteenth International Conference on Artificial …, 2015
13*2015
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