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 (SIGSPATIAL/GIS, 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)

Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming. - Vo Nguyen Le Duy; Hiroki Toda; Ryota Sugiyama; Ichiro Takeuchi (NeurIPS, 2020)

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

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)

Parametric Programming Approach for More Powerful and General Lasso Selective Inference. - Vo Nguyen Le Duy; Ichiro Takeuchi (AISTATS, 2021)

More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method. - Kazuya Sugiyama; Vo Nguyen Le Duy; Ichiro Takeuchi (ICML, 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)

Exact Statistical Inference for the Wasserstein Distance by Selective Inference. - Vo Nguyen Le Duy; Ichiro Takeuchi (CoRR, 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)

Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model. - Diptesh Das; Vo Nguyen Le Duy; Hiroyuki Hanada; Koji Tsuda; Ichiro Takeuchi (AAAI, 2022)

Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference. - Vo Nguyen Le Duy; Shogo Iwazaki; Ichiro Takeuchi (NeurIPS, 2022)

Exact Statistical Inference for Time Series Similarity using Dynamic Time Warping by Selective Inference. - Vo Nguyen Le Duy; Ichiro Takeuchi (CoRR, 2022)

More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming. - Vo Nguyen Le Duy; Ichiro Takeuchi (J. Mach. Learn. Res., 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)

Valid P-Value for Deep Learning-driven Salient Region. - Daiki Miwa; Vo Nguyen Le Duy; Ichiro Takeuchi (ICLR, 2023)

Bounded P-values in Parametric Programming-based Selective Inference. - Tomohiro Shiraishi; Daiki Miwa; Vo Nguyen Le Duy; Ichiro Takeuchi (CoRR, 2023)

Selective Inference for Changepoint detection by Recurrent Neural Network. - Tomohiro Shiraishi; Daiki Miwa; Vo Nguyen Le Duy; Ichiro Takeuchi (CoRR, 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 001 (CoRR, 2023)

CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference. - Vo Nguyen Le Duy; Hsuan-Tien Lin; Ichiro Takeuchi (AISTATS, 2024)

Statistical Test for Attention Maps in Vision Transformers. - Tomohiro Shiraishi; Daiki Miwa; Teruyuki Katsuoka; Vo Nguyen Le Duy; Kouichi Taji; Ichiro Takeuchi (ICML, 2024)

CloudResilienceML: Ensuring Robustness of Machine Learning Models in Dynamic Cloud Systems. - Chanh Nguyen; Lidia Kidane; Vo Nguyen Le Duy; Erik Elmroth (UCC, 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 Anomaly Detections by Variational Auto-Encoders. - Daiki Miwa; Tomohiro Shiraishi; Vo Nguyen Le Duy; Teruyuki Katsuoka; Ichiro Takeuchi (CoRR, 2024)

Statistical Test for Generated Hypotheses by Diffusion Models. - Teruyuki Katsuoka; Tomohiro Shiraishi; Daiki Miwa; Vo Nguyen Le Duy; Ichiro Takeuchi (CoRR, 2024)

Controllable RANSAC-based Anomaly Detection via Hypothesis Testing. - Le Hong Phong; Ho Ngoc Luat; Vo Nguyen Le Duy (CoRR, 2024)

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval. - Quang Hoang Trung; Nguyen Van Hoang Phuc; Le Trung Hoang; Quang Huu Hieu; Vo Nguyen Le Duy (CoRR, 2024)

Selective Inference for Change Point Detection by Recurrent Neural Network. - Tomohiro Shiraishi; Daiki Miwa; Vo Nguyen Le Duy; Ichiro Takeuchi (Neural Comput., 2024)

Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation. - Nguyen Thang Loi; Duong Tan Loc; Vo Nguyen Le Duy (AISTATS, 2025)

Statistical Inference for Sequential Feature Selection after Domain Adaptation. - Duong Tan Loc; Nguyen Thang Loi; Vo Nguyen Le Duy (CoRR, 2025)

Multi-level Supervised Contrastive Learning. - Naghmeh Ghanooni; Barbod Pajoum; Harshit Rawal; Sophie Fellenz; Vo Nguyen Le Duy; Marius Kloft (CoRR, 2025)

Post-Transfer Learning Statistical Inference in High-Dimensional Regression. - Nguyen Vu Khai Tam; Cao Huyen My; Vo Nguyen Le Duy (CoRR, 2025)

Statistical Inference for Clustering-based Anomaly Detection. - Nguyen Thi Minh Phu; Duong Tan Loc; Vo Nguyen Le Duy (CoRR, 2025)

WriteViT: Handwritten Text Generation with Vision Transformer. - Dang Hoai Nam; Huynh Tong Dang Khoa; Vo Nguyen Le Duy (CoRR, 2025)