Ichiro Takeuchi

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 120

Top Venues

Publications

Yu Inatsu, Shion Takeno, Hiroyuki Hanada, Kazuki Iwata, Ichiro Takeuchi
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty. AISTATS (2024)
Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki, Shion Takeno, Ichiro Takeuchi, Masayuki Karasuyama
Multi-Objective Bayesian Optimization with Active Preference Learning. AAAI (2024)
Teruyuki Katsuoka, Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
Statistical Test for Generated Hypotheses by Diffusion Models. CoRR (2024)
Onur Boyar, Yanheng Gu, Yuji Tanaka, Shunsuke Tonogai, Tomoya Itakura, Ichiro Takeuchi
Crystal-LSBO: Automated Design of De Novo Crystals with Latent Space Bayesian Optimization. CoRR (2024)
Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota, Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi, Noriaki Hashimoto, Ichiro Takeuchi, Hidekata Hontani
Modification of DDIM Encoding for Generating Counterfactual Pathology Images of Malignant Lymphoma. VISIGRAPP (2): VISAPP (2024)
Daiki Miwa, Tomohiro Shiraishi, Vo Nguyen Le Duy, Teruyuki Katsuoka, Ichiro Takeuchi
Statistical Test for Anomaly Detections by Variational Auto-Encoders. CoRR (2024)
Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi
Statistical Test for Attention Map in Vision Transformer. CoRR (2024)
Tomohiro Shiraishi, Tatsuya Matsukawa, Shuichi Nishino, Ichiro Takeuchi
Statistical Test for Data Analysis Pipeline by Selective Inference. CoRR (2024)
Boris N. Slautin, Utkarsh Pratiush, Ilia N. Ivanov, Yongtao Liu, Rohit Pant, Xiaohang Zhang, Ichiro Takeuchi, Maxim A. Ziatdinov, Sergei V. Kalinin
Multimodal Co-orchestration for Exploring Structure-Property Relationships in Combinatorial Libraries via Multi-Task Bayesian Optimization. CoRR (2024)
Hiroyuki Hanada, Satoshi Akahane, Tatsuya Aoyama, Tomonari Tanaka, Yoshito Okura, Yu Inatsu, Noriaki Hashimoto, Taro Murayama, Lee Hanju, Shinya Kojima, Ichiro Takeuchi
Distributionally Robust Safe Screening. CoRR (2024)
Vo Nguyen Le Duy, Hsuan-Tien Lin, Ichiro Takeuchi
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference. AISTATS (2024)
Hiroyuki Hanada, Tatsuya Aoyama, Satoshi Akahane, Tomonari Tanaka, Yoshito Okura, Yu Inatsu, Noriaki Hashimoto, Shion Takeno, Taro Murayama, Lee Hanju, Shinya Kojima, Ichiro Takeuchi
Distributionally Robust Safe Sample Screening. CoRR (2024)
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 (2023)
Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
Valid P-Value for Deep Learning-driven Salient Region. ICLR (2023)
Hideaki Ishibashi, Masayuki Karasuyama, Ichiro Takeuchi, Hideitsu Hino
A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets. AISTATS (2023)
Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, Ichiro Takeuchi
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications. Neural Comput. 35 (12) (2023)
Hiroki Kato, Hiroyuki Hanada, Ichiro Takeuchi
Safe RuleFit: Learning Optimal Sparse Rule Model by Meta Safe Screening. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Vo Nguyen Le Duy, Hsuan-Tien Lin, Ichiro Takeuchi
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference. CoRR (2023)
Onur Boyar, Ichiro Takeuchi
Latent Reconstruction-Aware Variational Autoencoder. CoRR (2023)
Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, Ichiro Takeuchi
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications. CoRR (2023)
Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki, Shinya Suzuki, Shion Takeno, Ichiro Takeuchi, Masayuki Karasuyama
Multi-Objective Bayesian Optimization with Active Preference Learning. CoRR (2023)
Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma
Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. MLMI@MICCAI (2) (2023)
Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
Valid P-Value for Deep Learning-Driven Salient Region. CoRR (2023)
Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds. CoRR (2023)
Shota Hozumi, Kentaro Kutsukake, Kota Matsui, Shunya Kusakawa, Toru Ujihara, Ichiro Takeuchi
Adaptive Defective Area Identification in Material Surface Using Active Transfer Learning-based Level Set Estimation. CoRR (2023)
Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
Selective Inference for Changepoint detection by Recurrent Neural Network. CoRR (2023)
Takumi Yoshida, Hiroyuki Hanada, Kazuya Nakagawa, Kouichi Taji, Koji Tsuda, Ichiro Takeuchi
Efficient model selection for predictive pattern mining model by safe pattern pruning. Patterns 4 (12) (2023)
Felix Adams, Austin McDannald, Ichiro Takeuchi, A. Gilad Kusne
Human-In-the-Loop for Bayesian Autonomous Materials Phase Mapping. CoRR (2023)
Yu Inatsu, Ichiro Takeuchi
Distributionally Robust Multi-objective Bayesian Optimization under Uncertain Environments. CoRR (2023)
Takumi Yoshida, Hiroyuki Hanada, Kazuya Nakagawa, Kouichi Taji, Koji Tsuda, Ichiro Takeuchi
Efficient Model Selection for Predictive Pattern Mining Model by Safe Pattern Pruning. CoRR (2023)
Eugène Ndiaye, Ichiro Takeuchi
Root-finding approaches for computing conformal prediction set. Mach. Learn. 112 (1) (2023)
Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma
Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. CoRR (2023)
Noriaki Hashimoto, Yusuke Takagi, Hiroki Masuda, Hiroaki Miyoshi, Kei Kohno, Miharu Nagaishi, Kensaku Sato, Mai Takeuchi, Takuya Furuta, Keisuke Kawamoto, Kyohei Yamada, Mayuko Moritsubo, Kanako Inoue, Yasumasa Shimasaki, Yusuke Ogura, Teppei Imamoto, Tatsuzo Mishina, Ken Tanaka, Yoshino Kawaguchi, Shigeo Nakamura, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning. Medical Image Anal. 85 (2023)
Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
Bounded P-values in Parametric Programming-based Selective Inference. CoRR (2023)
Noriaki Hashimoto, Kaho Ko, Tatsuya Yokota, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Ichiro Takeuchi, Hidekata Hontani
Subtype classification of malignant lymphoma using immunohistochemical staining pattern. Int. J. Comput. Assist. Radiol. Surg. 17 (7) (2022)
Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi
Bayesian Optimization for Distributionally Robust Chance-constrained Problem. CoRR (2022)
Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi
Bayesian Optimization for Distributionally Robust Chance-constrained Problem. ICML (2022)
Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama
A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy. Neural Comput. 34 (10) (2022)
Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi
Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model. AAAI (2022)
Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Arai, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Hiroyuki Hanada, Yasuo Tabei, Ichiro Takeuchi
Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction. IEEE Trans. Knowl. Data Eng. 34 (3) (2022)
Logan Saar, Haotong Liang, Alex Wang, Austin McDannald, Efrain Rodriguez, Ichiro Takeuchi, A. Gilad Kusne
A Low-Cost Robot Science Kit for Education with Symbolic Regression for Hypothesis Discovery and Validation. CoRR (2022)
Vo Nguyen Le Duy, Ichiro Takeuchi
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming. J. Mach. Learn. Res. 23 (2022)
Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference. NeurIPS (2022)
Alex Wang, Haotong Liang, Austin McDannald, Ichiro Takeuchi, A. Gilad Kusne
Benchmarking Active Learning Strategies for Materials Optimization and Discovery. CoRR (2022)
Valentin G. Stanev, Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov
Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization. CoRR (2022)
Vo Nguyen Le Duy, Ichiro Takeuchi
Exact Statistical Inference for Time Series Similarity using Dynamic Time Warping by Selective Inference. CoRR (2022)
Diptesh Das, Eugène Ndiaye, Ichiro Takeuchi
A Confidence Machine for Sparse High-Order Interaction Model. CoRR (2022)
Yusuke Takagi, Noriaki Hashimoto, Hiroki Masuda, Hiroaki Miyoshi, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi
Transformer-based Personalized Attention Mechanism (PersAM) for Medical Images with Clinical Records. CoRR (2022)
Shunya Kusakawa, Shion Takeno, Yu Inatsu, Kentaro Kutsukake, Shogo Iwazaki, Takashi Nakano, Toru Ujihara, Masayuki Karasuyama, Ichiro Takeuchi
Bayesian Optimization for Cascade-Type Multistage Processes. Neural Comput. 34 (12) (2022)
Vo Nguyen Le Duy, Ichiro Takeuchi
Exact Statistical Inference for the Wasserstein Distance by Selective Inference. CoRR (2021)
Changming Wu, Xiaoxuan Yang, Heshan Yu, Ruoming Peng, Ichiro Takeuchi, Yiran Chen, Mo Li
Harnessing Optoelectronic Noises in a Photonic Generative Adversarial Network (GAN). CoRR (2021)
Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method. ICML (2021)
A. Gilad Kusne, Austin McDannald, Brian L. DeCost, Corey Oses, Cormac Toher, Stefano Curtarolo, Apurva Mehta, Ichiro Takeuchi
Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping. CoRR (2021)
Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
Distance metric learning for graph structured data. Mach. Learn. 110 (7) (2021)
Vo Nguyen Le Duy, Ichiro Takeuchi
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming. CoRR (2021)
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure. Neural Comput. 33 (12) (2021)
Eugène Ndiaye, Ichiro Takeuchi
Continuation Path with Linear Convergence Rate. CoRR (2021)
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 (2021)
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 (2021)
Eugène Ndiaye, Ichiro Takeuchi
Root-finding Approaches for Computing Conformal Prediction Set. CoRR (2021)
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 (2021)
Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi
Active learning for distributionally robust level-set estimation. CoRR (2021)
Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi
Active Learning for Distributionally Robust Level-Set Estimation. ICML (2021)
Noriaki Hashimoto, Yusuke Takagi, Hiroki Masuda, Hiroaki Miyoshi, Kei Kohno, Miharu Nagaishi, Kensaku Sato, Mai Takeuchi, Takuya Furuta, Keisuke Kawamoto, Kyohei Yamada, Mayuko Moritsubo, Kanako Inoue, Yasumasa Shimasaki, Yusuke Ogura, Teppei Imamoto, Tatsuzo Mishina, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning. CoRR (2021)
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
Mean-Variance Analysis in Bayesian Optimization under Uncertainty. AISTATS (2021)
Vo Nguyen Le Duy, Ichiro Takeuchi
Parametric Programming Approach for More Powerful and General Lasso Selective Inference. AISTATS (2021)
Valentin G. Stanev, Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov
Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization. LSSC (2021)
Shunya Kusakawa, Shion Takeno, Yu Inatsu, Kentaro Kutsukake, Shogo Iwazaki, Takashi Nakano, Toru Ujihara, Masayuki Karasuyama, Ichiro Takeuchi
Bayesian Optimization for Cascade-type Multi-stage Processes. CoRR (2021)
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
Bayesian Experimental Design for Finding Reliable Level Set Under Input Uncertainty. IEEE Access 8 (2020)
Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi
More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach. CoRR (2020)
Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization. ICML (2020)
Vo Nguyen Le Duy, Hiroki Toda, Ryota Sugiyama, Ichiro Takeuchi
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming. CoRR (2020)
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
Mean-Variance Analysis in Bayesian Optimization under Uncertainty. CoRR (2020)
Yu Inatsu, Daisuke Sugita, Kazuaki Toyoura, Ichiro Takeuchi
Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives. Neural Comput. 32 (10) (2020)
Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi
Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with non-annotated histopathological images. CoRR (2020)
Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi
Computing Valid P-Values for Image Segmentation by Selective Inference. CVPR (2020)
Rory Bunker, Keisuke Fujii, Hiroyuki Hanada, Ichiro Takeuchi
Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union. CoRR (2020)
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure. CoRR (2020)
Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Ichiro Takeuchi
Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions. Neural Comput. 32 (12) (2020)
Vo Nguyen Le Duy, Ichiro Takeuchi
Parametric Programming Approach for Powerful Lasso Selective Inference without Conditioning on Signs. CoRR (2020)
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)
Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi
Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference. CoRR (2020)
Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
Distance Metric Learning for Graph Structured Data. CoRR (2020)
Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Hideki Kandori, Ichiro Takeuchi
Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation. Neural Comput. 32 (10) (2020)
Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi
Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images. CVPR (2020)
Eugène Ndiaye, Ichiro Takeuchi
Computing Full Conformal Prediction Set with Approximate Homotopy. CoRR (2019)
Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
Safe Triplet Screening for Distance Metric Learning. Neural Comput. 31 (12) (2019)
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)
Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi
Safe Grid Search with Optimal Complexity. ICML (2019)
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty. CoRR (2019)
Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi
Computing Valid p-values for Image Segmentation by Selective Inference. CoRR (2019)
Makoto Yamada, Denny Wu, Yao-Hung Hubert Tsai, Hirofumi Ohta, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator. ICLR (Poster) (2019)
Eugène Ndiaye, Ichiro Takeuchi
Computing Full Conformal Prediction Set with Approximate Homotopy. NeurIPS (2019)
Yu Inatsu, Daisuke Sugita, Kazuaki Toyoura, Ichiro Takeuchi
Active learning for enumerating local minima based on Gaussian process derivatives. CoRR (2019)
Takuto Sakuma, Kazuya Nishi, Kaoru Kishimoto, Kazuya Nakagawa, Masayuki Karasuyama, Yuta Umezu, Shinsuke Kajioka, Shuhei J. Yamazaki, Koutarou D. Kimura, Sakiko Matsumoto, Ken Yoda, Matasaburo Fukutomi, Hisashi Shidara, Hiroto Ogawa, Ichiro Takeuchi
Efficient learning algorithm for sparse subsequence pattern-based classification and applications to comparative animal trajectory data analysis. Adv. Robotics 33 (3-4) (2019)
Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama
Multi-fidelity Bayesian Optimization with Max-value Entropy Search. CoRR (2019)
Kota Matsui, Shunya Kusakawa, Keisuke Ando, Kentaro Kutsukake, Toru Ujihara, Ichiro Takeuchi
Bayesian Active Learning for Structured Output Design. CoRR (2019)
Shinsuke Kajioka, Takuto Sakuma, Ichiro Takeuchi
Comparative Sequential Pattern Mining of Human Trajectory Data Collected from a Campus-wide BLE Beacon System. PerCom Workshops (2019)
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 (2019)
Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining. KDD (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ichiro Takeuchi