Vo Nguyen Le Duy

According to our database, Vo Nguyen Le Duy authored at least 27 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Controllable RANSAC-based Anomaly Detection via Hypothesis Testing.

Le Hong Phong, Ho Ngoc Luat, Vo Nguyen Le Duy

CoRR, 2024

Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation.

Nguyen Thang Loi, Duong Tan Loc, Vo Nguyen Le Duy

CoRR, 2024

Statistical Test for Generated Hypotheses by Diffusion Models.

Teruyuki Katsuoka, Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi

CoRR, 2024

Statistical Test for Anomaly Detections by Variational Auto-Encoders.

Daiki Miwa, Tomohiro Shiraishi, Vo Nguyen Le Duy, Teruyuki Katsuoka, Ichiro Takeuchi

CoRR, 2024

Statistical Test for Attention Map in Vision Transformer.

Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi

CoRR, 2024

Statistical Test for Attention Maps in Vision Transformers.

Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference.

Vo Nguyen Le Duy, Hsuan-Tien Lin, Ichiro Takeuchi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball.

Rory P. Bunker, Vo Nguyen Le Duy, Yasuo Tabei, Ichiro Takeuchi, Keisuke Fujii

CoRR, 2023

Selective Inference for Changepoint detection by Recurrent Neural Network.

Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi

CoRR, 2023

Bounded P-values in Parametric Programming-based Selective Inference.

Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi

CoRR, 2023

Valid P-Value for Deep Learning-driven Salient Region.

Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction.

Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Arai, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Hiroyuki Hanada, Yasuo Tabei, Ichiro Takeuchi

IEEE Trans. Knowl. Data Eng., 2022

More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming.

Vo Nguyen Le Duy, Ichiro Takeuchi

J. Mach. Learn. Res., 2022

Exact Statistical Inference for Time Series Similarity using Dynamic Time Warping by Selective Inference.

Vo Nguyen Le Duy, Ichiro Takeuchi

CoRR, 2022

Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference.

Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model.

Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference.

Ryota Sugiyama, Hiroki Toda, Vo Nguyen Le Duy, Yu Inatsu, Ichiro Takeuchi

CoRR, 2021

Exact Statistical Inference for the Wasserstein Distance by Selective Inference.

Vo Nguyen Le Duy, Ichiro Takeuchi

CoRR, 2021

Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation.

Toshiaki Tsukurimichi, Yu Inatsu, Vo Nguyen Le Duy, Ichiro Takeuchi

CoRR, 2021

More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method.

Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi

Proceedings of the 38th International Conference on Machine Learning, 2021

Parametric Programming Approach for More Powerful and General Lasso Selective Inference.

Vo Nguyen Le Duy, Ichiro Takeuchi

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach.

Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi

CoRR, 2020

Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference.

Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi

CoRR, 2020

Parametric Programming Approach for Powerful Lasso Selective Inference without Conditioning on Signs.

Vo Nguyen Le Duy, Ichiro Takeuchi

CoRR, 2020

Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming.

Vo Nguyen Le Duy, Hiroki Toda, Ryota Sugiyama, Ichiro Takeuchi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Statistically Discriminative Sub-trajectory Mining.

Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Nishi, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Yasuo Tabei, Ichiro Takeuchi

CoRR, 2019

Statistically Discriminative Sub-trajectory Mining with Multiple Testing Correction.

Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Arai, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Yasuo Tabei, Ichiro Takeuchi

Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019