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Author

Nontawat Charoenphakdee

Observed name: Charoenphakdee, Nontawat
ORCID: 0000-0002-0214-4943
Observed ORCID: 0000-0002-0214-4943
OpenAlex ID: A5083583938
Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements
2022 · So Takamoto, Chikashi Shinagawa, et al. · Nature Communications · 464
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Imitation Learning from Imperfect Demonstration
2019 · Wu, Yueh-Hua, Charoenphakdee, Nontawat, et al. · arXiv (Cornell University) · 91
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On Symmetric Losses for Learning from Corrupted Labels
2019 · Charoenphakdee, Nontawat, Lee, Jongyeong, et al. · arXiv (Cornell University) · 77
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Unsupervised Domain Adaptation Based on Source-Guided Discrepancy
2019 · Seiichi Kuroki, Nontawat Charoenphakdee, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 52
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Diffusion models for missing value imputation in tabular data
2022 · Zheng, Shuhan, Charoenphakdee, Nontawat · arXiv (Cornell University) · 47
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Classification from Triplet Comparison Data
2020 · Zhenghang Cui, Nontawat Charoenphakdee, et al. · Neural Computation · 26
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On the Calibration of Multiclass Classification with Rejection
2019 · Ni, Chenri, Charoenphakdee, Nontawat, et al. · arXiv (Cornell University) · 26
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On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective
2021 · Nontawat Charoenphakdee, Jayakorn Vongkulbhisal, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 25
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Classification with Rejection Based on Cost-sensitive Classification
2020 · Charoenphakdee, Nontawat, Cui, Zhenghang, et al. · arXiv (Cornell University) · 20
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Learning Only from Relevant Keywords and Unlabeled Documents
2019 · Nontawat Charoenphakdee, Jongyeong Lee, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 11
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Robust Imitation Learning from Noisy Demonstrations
2020 · Tangkaratt, Voot, Charoenphakdee, Nontawat, et al. · arXiv (Cornell University) · 10
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Learning from Aggregate Observations
2020 · Zhang, Yivan, Charoenphakdee, Nontawat, et al. · arXiv (Cornell University) · 10
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Domain Discrepancy Measure for Complex Models in Unsupervised Domain Adaptation
2019 · Lee, Jongyeong, Charoenphakdee, Nontawat, et al. · arXiv (Cornell University) · 9
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Semisupervised Ordinal Regression Based on Empirical Risk Minimization
2021 · Taira Tsuchiya, Nontawat Charoenphakdee, et al. · Neural Computation · 8
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Learning from Indirect Observations
2019 · Zhang, Yivan, Charoenphakdee, Nontawat, et al. · arXiv (Cornell University) · 7
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Positive-Unlabeled Classification under Class Prior Shift and Asymmetric Error
2019 · Nontawat Charoenphakdee, Masashi Sugiyama · Society for Industrial and Applied Mathematics eBooks · 6
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Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
2022 · Ishida, Takashi, Yamane, Ikko, et al. · arXiv (Cornell University) · 5
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On Possibility and Impossibility of Multiclass Classification with Rejection.
2019 · Chenri Ni, Nontawat Charoenphakdee, et al. · 5
Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time
2020 · Imamura, Hideaki, Charoenphakdee, Nontawat, et al. · arXiv (Cornell University) · 4
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LightPFP: A Lightweight Route to Ab Initio Accuracy at Scale
2025 · Wenwen Li, Nontawat Charoenphakdee, et al. · Research Square · 3
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Creating a general-purpose generative model for healthcare data based on multiple clinical studies
2025 · Hiroshi Maruyama, Kotatsu Bito, et al. · PLOS Digital Health · 3
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High-temperature multi-element 2021 (HME21) dataset
2022 · Takamoto, So, Shinagawa, Chikashi, et al. · Figshare · 3
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph
2021 · Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 3
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Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests
2026 · Lodkaew, Thanawat, Ackermann, Johannes, et al. · arXiv (Cornell University) · 1
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Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics
2023 · Oono, Kenta, Charoenphakdee, Nontawat, et al. · arXiv (Cornell University) · 1
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Works count: 39
Citation count: 917
H-index: 10
I10-index: 12
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