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Journal Articles
- 2024
[j11]Anh Tuan Bui
:
Root cause analysis of manufacturing variation from optical scanning data. Ann. Oper. Res. 339(1-2): 111-130 (2024)- [j10]Anh Tuan Bui:
Dimension Reduction With Prior Information for Knowledge Discovery. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3625-3636 (2024) - 2023
- [j9]Kungang Zhang, Anh Tuan Bui, Daniel W. Apley:
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors. Technometrics 65(2): 137-149 (2023) - [j8]Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Phung:
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j7]Anh Tuan Bui, Daniel W. Apley:
Robust monitoring of stochastic textured surfaces. Int. J. Prod. Res. 60(16): 5071-5086 (2022) - [j6]Anh Tuan Bui:
A closed-form solution for conditional multidimensional scaling. Pattern Recognit. Lett. 164: 148-152 (2022) - [j5]Anh Tuan Bui, Daniel W. Apley:
Analyzing Nonparametric Part-to-Part Variation in Surface Point Cloud Data. Technometrics 64(4): 457-474 (2022) - 2019
- [j4]Anh Tuan Bui, Daniel W. Apley:
An exploratory analysis approach for understanding variation in stochastic textured surfaces. Comput. Stat. Data Anal. 137: 33-50 (2019) - [j3]Anh Tuan Bui, Joon-Ku Im, Daniel W. Apley, George C. Runger:
Projection-free kernel principal component analysis for denoising. Neurocomputing 357: 163-176 (2019) - 2018
- [j2]Anh Tuan Bui, Daniel W. Apley:
A Monitoring and Diagnostic Approach for Stochastic Textured Surfaces. Technometrics 60(1): 1-13 (2018) - 2012
- [j1]Anh Tuan Bui, Chi-Hyuck Jun:
Learning Bayesian network structure using Markov blanket decomposition. Pattern Recognit. Lett. 33(16): 2134-2140 (2012)
Conference and Workshop Papers
- 2023
- [c4]Hoang Phan, Trung Le, Trung Phung, Anh Tuan Bui, Nhat Ho, Dinh Q. Phung:
Global-Local Regularization Via Distributional Robustness. AISTATS 2023: 7644-7664 - [c3]Van-Anh Nguyen, Trung Le, Anh Tuan Bui, Thanh-Toan Do, Dinh Q. Phung:
Optimal Transport Model Distributional Robustness. NeurIPS 2023 - 2022
- [c2]Trung Le, Anh Tuan Bui, Le Minh Tri Tue, He Zhao, Paul Montague, Quan Hung Tran, Dinh Q. Phung:
On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds. AISTATS 2022: 11438-11460 - [c1]Anh Tuan Bui, Trung Le, Quan Hung Tran, He Zhao, Dinh Q. Phung:
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training. ICLR 2022
Informal and Other Publications
- 2024
- [i8]Anh Tuan Bui, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Q. Phung:
Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts. CoRR abs/2403.12326 (2024) - [i7]Khanh Doan, Long Tung Vuong, Tuan Nguyen, Anh Tuan Bui, Quyen Tran, Thanh-Toan Do, Dinh Phung, Trung Le:
Connective Viewpoints of Signal-to-Noise Diffusion Models. CoRR abs/2408.04221 (2024) - 2023
- [i6]Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Q. Phung:
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization. CoRR abs/2304.13229 (2023) - [i5]Van-Anh Nguyen, Trung Le, Anh Tuan Bui, Thanh-Toan Do, Dinh Q. Phung:
Optimal Transport Model Distributional Robustness. CoRR abs/2306.04178 (2023) - [i4]Ngoc N. Tran, Lam Tran, Hoang Phan, Anh Tuan Bui, Tung Pham, Toan Tran, Dinh Q. Phung, Trung Le:
Robust Contrastive Learning With Theory Guarantee. CoRR abs/2311.09671 (2023) - 2022
- [i3]Ngoc N. Tran, Anh Tuan Bui, Dinh Q. Phung, Trung Le:
Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$-norms For Better Adversarial Performance. CoRR abs/2212.03069 (2022) - 2021
- [i2]Anh Tuan Bui:
Conditional Manifold Learning. CoRR abs/2111.13646 (2021) - 2020
- [i1]Kungang Zhang, Anh Tuan Bui, Daniel W. Apley:
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors. CoRR abs/2012.06916 (2020)
Coauthor Index
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