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Vo Nguyen Le Duy
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2020 – today
- 2024
- [c9]Vo Nguyen Le Duy, Hsuan-Tien Lin, Ichiro Takeuchi:
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference. AISTATS 2024: 1828-1836 - [c8]Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi:
Statistical Test for Attention Maps in Vision Transformers. ICML 2024 - [i21]Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi:
Statistical Test for Attention Map in Vision Transformer. CoRR abs/2401.08169 (2024) - [i20]Daiki Miwa, Tomohiro Shiraishi, Vo Nguyen Le Duy, Teruyuki Katsuoka, Ichiro Takeuchi:
Statistical Test for Anomaly Detections by Variational Auto-Encoders. CoRR abs/2402.03724 (2024) - [i19]Teruyuki Katsuoka, Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi:
Statistical Test for Generated Hypotheses by Diffusion Models. CoRR abs/2402.11789 (2024) - [i18]Nguyen Thang Loi, Duong Tan Loc, Vo Nguyen Le Duy:
Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation. CoRR abs/2410.15022 (2024) - [i17]Le Hong Phong, Ho Ngoc Luat, Vo Nguyen Le Duy:
Controllable RANSAC-based Anomaly Detection via Hypothesis Testing. CoRR abs/2410.15133 (2024) - 2023
- [c7]Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi:
Valid P-Value for Deep Learning-driven Salient Region. ICLR 2023 - [i16]Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi:
Valid P-Value for Deep Learning-Driven Salient Region. CoRR abs/2301.02437 (2023) - [i15]Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi:
Bounded P-values in Parametric Programming-based Selective Inference. CoRR abs/2307.11351 (2023) - [i14]Vo Nguyen Le Duy, Hsuan-Tien Lin, Ichiro Takeuchi:
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference. CoRR abs/2310.14608 (2023) - [i13]Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi:
Selective Inference for Changepoint detection by Recurrent Neural Network. CoRR abs/2311.14964 (2023) - [i12]Rory P. Bunker, Vo Nguyen Le Duy, Yasuo Tabei, Ichiro Takeuchi, Keisuke Fujii:
Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball. CoRR abs/2311.16564 (2023) - 2022
- [j2]Vo Nguyen Le Duy, Ichiro Takeuchi:
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming. J. Mach. Learn. Res. 23: 300:1-300:37 (2022) - [j1]Vo Nguyen Le Duy
, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Arai, Masayuki Karasuyama
Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction. IEEE Trans. Knowl. Data Eng. 34(3): 1477-1488 (2022) - [c6]Diptesh Das
Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model. AAAI 2022: 9999-10007 - [c5]Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi:
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference. NeurIPS 2022 - [i11]Vo Nguyen Le Duy, Ichiro Takeuchi:
Exact Statistical Inference for Time Series Similarity using Dynamic Time Warping by Selective Inference. CoRR abs/2202.06593 (2022) - 2021
- [c4]Vo Nguyen Le Duy, Ichiro Takeuchi:
Parametric Programming Approach for More Powerful and General Lasso Selective Inference. AISTATS 2021: 901-909 - [c3]Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi:
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method. ICML 2021: 9891-9901 - [i10]Toshiaki Tsukurimichi, Yu Inatsu, Vo Nguyen Le Duy, Ichiro Takeuchi:
Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation. CoRR abs/2104.10840 (2021) - [i9]Vo Nguyen Le Duy, Ichiro Takeuchi:
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming. CoRR abs/2105.04920 (2021) - [i8]Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi:
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model. CoRR abs/2106.04929 (2021) - [i7]Vo Nguyen Le Duy, Ichiro Takeuchi:
Exact Statistical Inference for the Wasserstein Distance by Selective Inference. CoRR abs/2109.14206 (2021) - [i6]Ryota Sugiyama, Hiroki Toda, Vo Nguyen Le Duy, Yu Inatsu, Ichiro Takeuchi:
Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference. CoRR abs/2110.08989 (2021) - 2020
- [c2]Vo Nguyen Le Duy, Hiroki Toda, Ryota Sugiyama, Ichiro Takeuchi:
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming. NeurIPS 2020 - [i5]Vo Nguyen Le Duy, Hiroki Toda, Ryota Sugiyama, Ichiro Takeuchi:
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming. CoRR abs/2002.09132 (2020) - [i4]Vo Nguyen Le Duy, Ichiro Takeuchi:
Parametric Programming Approach for Powerful Lasso Selective Inference without Conditioning on Signs. CoRR abs/2004.09749 (2020) - [i3]Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi:
Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference. CoRR abs/2010.01823 (2020) - [i2]Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi:
More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach. CoRR abs/2012.13545 (2020)
2010 – 2019
- 2019
- [c1]Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Arai, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Yasuo Tabei, Ichiro Takeuchi:
Statistically Discriminative Sub-trajectory Mining with Multiple Testing Correction. SIGSPATIAL/GIS 2019: 548-551 - [i1]Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Nishi, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Yasuo Tabei, Ichiro Takeuchi:
Statistically Discriminative Sub-trajectory Mining. CoRR abs/1905.01788 (2019)
Coauthor Index
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