Clustering OCR-ed texts for browsing document image database. - Koji Tsuda; Shuji Senda; Michihiko Minoh; Katsuo Ikeda (ICDAR, 1995)

Extracting straight lines by sequential fuzzy clustering. - Koji Tsuda; Michihiko Minoh; Katsuo Ikeda (Pattern Recognit. Lett., 1996)

A Nonparametric Density Model for Classification in a High Dimensional Space. - Koji Tsuda; Michihiko Minoh (ICDAR, 1997)

Sequential fuzzy cluster extraction and its robustness against noise. - Koji Tsuda; Shuji Senda; Michihiko Minoh; Katsuo Ikeda (Syst. Comput. Jpn., 1997)

Pattern Recognition Method for Metric Space by Four Points Embedding. - Hideya Yoshiuchi; Koji Tsuda; Shigenobu Fukushima; Michihiko Minoh (IVCNZ, 1998)

Support vector classifier with asymetric kernel function. - Koji Tsuda (ESANN, 1999)

Subspace classifier in reproducing kernel Hilbert space. - Koji Tsuda (IJCNN, 1999)

Subspace classifier in the Hilbert space. - Koji Tsuda (Pattern Recognit. Lett., 1999)

Large Margin Classifier via Semiparametric Inference. - Koji Tsuda; Shotaro Akaho (IJCNN (2), 2000)

Pairwise Coupling for Machine Recognition of Hand-Printed Japanese Characters. - Volker Roth 001; Koji Tsuda (CVPR (1), 2001)

Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers. - Koji Tsuda; Gunnar Rätsch; Sebastian Mika; Klaus-Robert Müller (ICANN, 2001)

The subspace method in Hilbert space. - Koji Tsuda (Syst. Comput. Jpn., 2001)

An introduction to kernel-based learning algorithms. - Klaus-Robert Müller; Sebastian Mika; Gunnar Rätsch; Koji Tsuda; Bernhard Schölkopf (IEEE Trans. Neural Networks, 2001)

An Attempt for Coloring Multichannel MR Imaging Data. - Shigeru Muraki; Toshiharu Nakai; Yasuyo Kita; Koji Tsuda (IEEE Trans. Vis. Comput. Graph., 2001)

Modeling splicing sites with pairwise correlations. - Masanori Arita; Koji Tsuda; Kiyoshi Asai (ECCB, 2002)

The Leave-One-Out Kernel. - Koji Tsuda; Motoaki Kawanabe (ICANN, 2002)

Marginalized kernels for biological sequences. - Koji Tsuda; Taishin Kin; Kiyoshi Asai (ISMB, 2002)

Clustering with the Fisher Score. - Koji Tsuda; Motoaki Kawanabe; Klaus-Robert Müller (NIPS, 2002)

Approximating Incomplete Kernel Matrices by the em Algorithm - Koji Tsuda; Shotaro Akaho; Kiyoshi Asai (CoRR, 2002)

A New Discriminative Kernel from Probabilistic Models. - Koji Tsuda; Motoaki Kawanabe; Gunnar Rätsch; Sören Sonnenburg; Klaus-Robert Müller (Neural Comput., 2002)

Subspace information criterion for nonquadratic regularizers-Model selection for sparse regressors. - Koji Tsuda; Masashi Sugiyama; Klaus-Robert Müller (IEEE Trans. Neural Networks, 2002)

Marginalized Kernels Between Labeled Graphs. - Hisashi Kashima; Koji Tsuda; Akihiro Inokuchi (ICML, 2003)

The em Algorithm for Kernel Matrix Completion with Auxiliary Data. - Koji Tsuda; Shotaro Akaho; Kiyoshi Asai (J. Mach. Learn. Res., 2003)

Learning to Find Graph Pre-images. - Gökhan H. Bakir; Alexander Zien; Koji Tsuda (DAGM-Symposium, 2004)

Learning kernels from biological networks by maximizing entropy. - Koji Tsuda; William Stafford Noble (ISMB/ECCB (Supplement of Bioinformatics), 2004)

Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection. - Koji Tsuda; Gunnar Rätsch; Manfred K. Warmuth (NIPS, 2004)

A New Variational Framework for Rigid-Body Alignment. - Tsuyoshi Kato; Koji Tsuda; Kentaro Tomii; Kiyoshi Asai (SSPR/SPR, 2004)

Asymptotic Properties of the Fisher Kernel. - Koji Tsuda; Shotaro Akaho; Motoaki Kawanabe; Klaus-Robert Müller (Neural Comput., 2004)

Minimizing the Cross Validation Error to Mix Kernel Matrices of Heterogeneous Biological Data. - Koji Tsuda; Shinsuke Uda; Taishin Kin; Kiyoshi Asai (Neural Process. Lett., 2004)

Fast protein classification with multiple networks. - Koji Tsuda; Hyunjung Shin; Bernhard Schölkopf (ECCB/JBI, 2005)

Propagating distributions on a hypergraph by dual information regularization. - Koji Tsuda (ICML, 2005)

Selective integration of multiple biological data for supervised network inference. - Tsuyoshi Kato; Koji Tsuda; Kiyoshi Asai (Bioinform., 2005)

Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection. - Koji Tsuda; Gunnar Rätsch; Manfred K. Warmuth (J. Mach. Learn. Res., 2005)

Image reconstruction by linear programming. - Koji Tsuda; Gunnar Rätsch (IEEE Trans. Image Process., 2005)

Prediction of Protein Function from Networks. - Hyunjung Shin; Koji Tsuda (Semi-Supervised Learning, 2006)

Clustering graphs by weighted substructure mining. - Koji Tsuda; Taku Kudo (ICML, 2006)

Mining frequent stem patterns from unaligned RNA sequences. - Michiaki Hamada; Koji Tsuda; Taku Kudo; Taishin Kin; Kiyoshi Asai (Bioinform., 2006)

SCARNA: fast and accurate structural alignment of RNA sequences by matching fixed-length stem fragments. - Yasuo Tabei; Koji Tsuda; Taishin Kin; Kiyoshi Asai (Bioinform., 2006)

Network-based de-noising improves prediction from microarray data. - Tsuyoshi Kato; Yukio Murata; Koh Miura; Kiyoshi Asai; Paul Horton; Koji Tsuda; Wataru Fujibuchi (BMC Bioinform., 2006)

Weighted Substructure Mining for Image Analysis. - Sebastian Nowozin; Koji Tsuda; Takeaki Uno; Taku Kudo; Gökhan H. Bakir (CVPR, 2007)

Discriminative Subsequence Mining for Action Classification. - Sebastian Nowozin; Gökhan H. Bakir; Koji Tsuda (ICCV, 2007)

Entire regularization paths for graph data. - Koji Tsuda (ICML, 2007)

Change-Point Detection using Krylov Subspace Learning. - Tsuyoshi Idé; Koji Tsuda (SDM, 2007)

Mining complex genotypic features for predicting HIV-1 drug resistance. - Hiroto Saigo; Takeaki Uno; Koji Tsuda (Bioinform., 2007)

NIPS workshop on New Problems and Methods in Computational Biology. - Gal Chechik; Christina S. Leslie; William Stafford Noble; Gunnar Rätsch; Quaid Morris; Koji Tsuda (BMC Bioinform., 2007)

Mining expression-dependent modules in the human interaction network. - Elisabeth Georgii; Sabine Dietmann; Takeaki Uno; Philipp Pagel; Koji Tsuda (BMC Bioinform., 2007)

Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models. - Florian Steinke; Matthias W. Seeger; Koji Tsuda (BMC Syst. Biol., 2007)

Bayesian Inference and Optimal Design in the Sparse Linear Model. - Matthias W. Seeger; Florian Steinke; Koji Tsuda (AISTATS, 2007)

Frequent Subgraph Retrieval in Geometric Graph Databases. - Sebastian Nowozin; Koji Tsuda (ICDM, 2008)

Iterative Subgraph Mining for Principal Component Analysis. - Hiroto Saigo; Koji Tsuda (ICDM, 2008)

Partial least squares regression for graph mining. - Hiroto Saigo; Nicole Krämer 002; Koji Tsuda (KDD, 2008)

Graph Mining with Variational Dirichlet Process Mixture Models. - Koji Tsuda; Kenichi Kurihara (SDM, 2008)

Multi-way set enumeration in real-valued tensors. - Elisabeth Georgii; Koji Tsuda; Bernhard Schölkopf (KDD Workshop on Data Mining using Matrices and Tensors, 2009)

Submodularity Cuts and Applications. - Yoshinobu Kawahara; Kiyohito Nagano; Koji Tsuda; Jeff A. Bilmes (NIPS, 2009)

On Pairwise Kernels: An Efficient Alternative and Generalization Analysis. - Hisashi Kashima; Satoshi Oyama; Yoshihiro Yamanishi; Koji Tsuda (PAKDD, 2009)

A Bayesian Approach to Graphy Regression with Relevant Subgraph Selection. - Silvia Chiappa; Hiroto Saigo; Koji Tsuda (SDM, 2009)

Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction. - Hisashi Kashima; Tsuyoshi Kato; Yoshihiro Yamanishi; Masashi Sugiyama; Koji Tsuda (SDM, 2009)

The DICS repository: module-assisted analysis of disease-related gene lists. - Sabine Dietmann; Elisabeth Georgii; Alexey V. Antonov; Koji Tsuda; Hans-Werner Mewes (Bioinform., 2009)

Enumeration of condition-dependent dense modules in protein interaction networks. - Elisabeth Georgii; Sabine Dietmann; Takeaki Uno; Philipp Pagel; Koji Tsuda (Bioinform., 2009)

Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach. - Hisashi Kashima; Yoshihiro Yamanishi; Tsuyoshi Kato; Masashi Sugiyama; Koji Tsuda (Bioinform., 2009)

Efficiently finding genome-wide three-way gene interactions from transcript- and genotype-data. - Mitsunori Kayano; Ichigaku Takigawa; Motoki Shiga; Koji Tsuda; Hiroshi Mamitsuka (Bioinform., 2009)

Efficient Construction of Neighborhood Graphs by the Multiple Sorting Method - Takeaki Uno; Masashi Sugiyama; Koji Tsuda (CoRR, 2009)

Protein functional class prediction with a combined graph. - Hyunjung Shin; Koji Tsuda; Bernhard Schölkopf (Expert Syst. Appl., 2009)

gBoost: a mathematical programming approach to graph classification and regression. - Hiroto Saigo; Sebastian Nowozin; Tadashi Kadowaki; Taku Kudo; Koji Tsuda (Mach. Learn., 2009)

Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism. - Hiroto Saigo; Masahiro Hattori; Hisashi Kashima; Koji Tsuda (BMC Bioinform., 2010)

Cartesian Kernel: An Efficient Alternative to the Pairwise Kernel. - Hisashi Kashima; Satoshi Oyama; Yoshihiro Yamanishi; Koji Tsuda (IEICE Trans. Inf. Syst., 2010)

Single versus Multiple Sorting in All Pairs Similarity Search. - Yasuo Tabei; Takeaki Uno; Masashi Sugiyama; Koji Tsuda (ACML, 2010)

Graph Classification. - Koji Tsuda; Hiroto Saigo (Managing and Mining Graph Data, 2010)

Graph Classification Methods in Chemoinformatics. - Koji Tsuda (Handbook of Statistical Bioinformatics, 2011)

Matrix Decomposition-based Dimensionality Reduction on Graph Data. - Hiroto Saigo; Koji Tsuda (Graph Data Management, 2011)

Second Workshop on Algorithms for Large-Scale Information Processing in Knowledge Discovery (ALSIP). - Koji Tsuda; Shin-ichi Minato (JSAI-isAI Workshops, 2011)

LGM: Mining Frequent Subgraphs from Linear Graphs. - Yasuo Tabei; Daisuke Okanohara; Shuichi Hirose; Koji Tsuda (PAKDD (2), 2011)

Kernel-based Similarity Search in Massive Graph Databases with Wavelet Trees. - Yasuo Tabei; Koji Tsuda (SDM, 2011)

SlideSort: all pairs similarity search for short reads. - Kana Shimizu; Koji Tsuda (Bioinform., 2011)

Multi-way set enumeration in weight tensors. - Elisabeth Georgii; Koji Tsuda; Bernhard Schölkopf (Mach. Learn., 2011)

Data Mining for Biologists. - Koji Tsuda (Int. J. Knowl. Discov. Bioinform., 2012)

PoSSuM: a database of similar protein-ligand binding and putative pockets. - Jun-Ichi Ito; Yasuo Tabei; Kana Shimizu; Koji Tsuda; Kentaro Tomii (Nucleic Acids Res., 2012)

Fast Westfall-Young permutation procedure for combinatorial regulation discovery. - Aika Terada; Koji Tsuda; Jun Sese (BIBM, 2013)

Compact Complete Inverted Files for Texts and Directed Acyclic Graphs Based on Sequence Binary Decision Diagrams . - Shuhei Denzumi; Koji Tsuda; Hiroki Arimura; Shin-ichi Minato (Stringology, 2013)

Discovering combinatorial interactions in survival data. - David duVerle; Ichiro Takeuchi; Yuko Murakami-Tonami; Kenji Kadomatsu; Koji Tsuda (Bioinform., 2013)

Fast Iterative Mining Using Sparsity-Inducing Loss Functions. - Hiroto Saigo; Hisashi Kashima; Koji Tsuda (IEICE Trans. Inf. Syst., 2013)

Efficient Error-tolerant Query Autocompletion. - Chuan Xiao 001; Jianbin Qin; Wei Wang 011; Yoshiharu Ishikawa; Koji Tsuda; Kunihiko Sadakane (Proc. VLDB Endow., 2013)

Online matrix prediction for sparse loss matrices. - Ken-ichiro Moridomi; Kohei Hatano; Eiji Takimoto; Koji Tsuda (ACML, 2014)

A Fast Method of Statistical Assessment for Combinatorial Hypotheses Based on Frequent Itemset Enumeration. - Shin-ichi Minato; Takeaki Uno; Koji Tsuda; Aika Terada; Jun Sese (ECML/PKDD (2), 2014)

Statistically significant subgraphs for genome-wide association study. - Jun Sese; Aika Terada; Yuki Saito; Koji Tsuda (SSDM@ECML/PKDD, 2014)

Oblivious Evaluation of Non-deterministic Finite Automata with Application to Privacy-Preserving Virus Genome Detection. - Hirohito Sasakawa; Hiroki Harada; David duVerle; Hiroki Arimura; Koji Tsuda; Jun Sakuma (WPES, 2014)

Distribution Loss Minimization With Guaranteed Error Bound. - Takeru Inoue; Keiji Takano; Takayuki Watanabe; Jun Kawahara; Ryo Yoshinaka; Akihiro Kishimoto; Koji Tsuda; Shin-ichi Minato; Yasuhiro Hayashi (IEEE Trans. Smart Grid, 2014)

Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries. - Yukino Baba; Hisashi Kashima; Yasunobu Nohara; Eiko Kai; Partha Pratim Ghosh; Rafiqul Islam Maruf; Ashir Ahmed; Masahiro Kuroda; Sozo Inoue; Tatsuo Hiramatsu; Michio Kimura; Shuji Shimizu; et al. (KDD, 2015)

BDD construction for all solutions SAT and efficient caching mechanism. - Takahisa Toda; Koji Tsuda (SAC, 2015)

Privacy-Preserving Statistical Analysis by Exact Logistic Regression. - David A. duVerle; Shohei Kawasaki; Yoshiji Yamada; Jun Sakuma; Koji Tsuda (IEEE Symposium on Security and Privacy Workshops, 2015)

Superset Generation on Decision Diagrams. - Takahisa Toda; Shogo Takeuchi; Koji Tsuda; Shin-ichi Minato (WALCOM, 2015)

Redesigning pattern mining algorithms for supercomputers. - Kazuki Yoshizoe; Aika Terada; Koji Tsuda (CoRR, 2015)

Privacy-preserving search for chemical compound databases. - Kana Shimizu; Koji Nuida; Hiromi Arai; Shigeo Mitsunari; Nuttapong Attrapadung; Michiaki Hamada; Koji Tsuda; Takatsugu Hirokawa; Jun Sakuma; Goichiro Hanaoka; Kiyoshi Asai (BMC Bioinform., 2015)

Information decomposition on structured space. - Mahito Sugiyama; Hiroyuki Nakahara; Koji Tsuda (ISIT, 2016)

Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining. - Kazuya Nakagawa; Shinya Suzumura; Masayuki Karasuyama; Koji Tsuda; Ichiro Takeuchi (KDD, 2016)

Significant Pattern Mining with Confounding Variables. - Aika Terada; David duVerle; Koji Tsuda (PAKDD (1), 2016)

LAMPLINK: detection of statistically significant SNP combinations from GWAS data. - Aika Terada; Ryo Yamada; Koji Tsuda; Jun Sese (Bioinform., 2016)

CellTree: an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq data. - David A. duVerle; Sohiya Yotsukura; Seitaro Nomura; Hiroyuki Aburatani; Koji Tsuda (BMC Bioinform., 2016)

Tensor Balancing on Statistical Manifold. - Mahito Sugiyama; Hiroyuki Nakahara; Koji Tsuda (ICML, 2017)

Selective Inference for Sparse High-Order Interaction Models. - Shinya Suzumura; Kazuya Nakagawa; Yuta Umezu; Koji Tsuda; Ichiro Takeuchi (ICML, 2017)

RNA inverse folding using Monte Carlo tree search. - Xiufeng Yang; Kazuki Yoshizoe; Akito Taneda; Koji Tsuda (BMC Bioinform., 2017)

ChemTS: An Efficient Python Library for de novo Molecular Generation. - Xiufeng Yang; Jinzhe Zhang; Kazuki Yoshizoe; Kei Terayama; Koji Tsuda (CoRR, 2017)

Legendre Decomposition for Tensors. - Mahito Sugiyama; Hiroyuki Nakahara; Koji Tsuda (NeurIPS, 2018)

DenseZDD: A Compact and Fast Index for Families of Sets. - Shuhei Denzumi; Jun Kawahara; Koji Tsuda; Hiroki Arimura; Shin-ichi Minato; Kunihiko Sadakane (Algorithms, 2018)

Machine learning accelerates MD-based binding pose prediction between ligands and proteins. - Kei Terayama; Hiroaki Iwata; Mitsugu Araki; Yasushi Okuno; Koji Tsuda (Bioinform., 2018)

MP-LAMP: parallel detection of statistically significant multi-loci markers on cloud platforms. - Kazuki Yoshizoe; Aika Terada; Koji Tsuda (Bioinform., 2018)

Legendre Tensor Decomposition. - Mahito Sugiyama; Hiroyuki Nakahara; Koji Tsuda (CoRR, 2018)

Transductive Boltzmann Machines. - Mahito Sugiyama; Koji Tsuda; Hiroyuki Nakahara (CoRR, 2018)

Improving the Accuracy of Protein-Ligand Binding Mode Prediction Using a Molecular Dynamics-Based Pocket Generation Approach. - Mitsugu Araki; Hiroaki Iwata; Biao Ma; Atsuto Fujita; Kei Terayama; Yukari Sagae; Fumie Ono; Koji Tsuda; Narutoshi Kamiya; Yasushi Okuno (J. Comput. Chem., 2018)

Leveraging Legacy Data to Accelerate Materials Design via Preference Learning. - Xiaolin Sun; Zhufeng Hou; Masato Sumita; Shinsuke Ishihara; Ryo Tamura; Koji Tsuda (CoRR, 2019)

CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration. - Ryosuke Shibukawa; Shoichi Ishida; Kazuki Yoshizoe; Kunihiro Wasa; Kiyosei Takasu; Yasushi Okuno; Kei Terayama; Koji Tsuda (J. Cheminformatics, 2020)

Efficient query autocompletion with edit distance-based error tolerance. - Jianbin Qin; Chuan Xiao 001; Sheng Hu 003; Jie Zhang; Wei Wang 011; Yoshiharu Ishikawa; Koji Tsuda; Kunihiko Sadakane (VLDB J., 2020)

Continuous black-box optimization with quantum annealing and random subspace coding. - Syun Izawa; Koki Kitai; Shu Tanaka; Ryo Tamura; Koji Tsuda (CoRR, 2021)

A generative model for molecule generation based on chemical reaction trees. - Dai Hai Nguyen; Koji Tsuda (CoRR, 2021)

Molecular generation by Fast Assembly of (Deep)SMILES fragments. - Francois Berenger; Koji Tsuda (J. Cheminformatics, 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)

Bayesian optimization package: PHYSBO. - Yuichi Motoyama; Ryo Tamura; Kazuyoshi Yoshimi; Kei Terayama; Tsuyoshi Ueno; Koji Tsuda (Comput. Phys. Commun., 2022)

QCforever: A Quantum Chemistry Wrapper for Everyone to Use in Black-Box Optimization. - Masato Sumita; Kei Terayama; Ryo Tamura; Koji Tsuda (J. Chem. Inf. Model., 2022)

NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science. - Ryo Tamura; Koji Tsuda; Shoichi Matsuda (CoRR, 2023)

Feature Importance Measurement based on Decision Tree Sampling. - Chao Huang; Diptesh Das; Koji Tsuda (CoRR, 2023)

3D-Sensitive Encoding of Pharmacophore Features. - Francois Berenger; Koji Tsuda (J. Chem. Inf. Model., 2023)

On a linear fused Gromov-Wasserstein distance for graph structured data. - Dai Hai Nguyen; Koji Tsuda (Pattern Recognit., 2023)

Interpretable Fragment-Based Molecule Design with Self-Learning Entropic Population Annealing. - Jiawen Li; Masato Sumita; Ryo Tamura; Koji Tsuda (Adv. Intell. Syst., 2023)

Efficient model selection for predictive pattern mining model by safe pattern pruning. - Takumi Yoshida; Hiroyuki Hanada; Kazuya Nakagawa; Kouichi Taji; Koji Tsuda; Ichiro Takeuchi (Patterns, 2023)

Revealing factors influencing polymer degradation with rank-based machine learning. - Weilin Yuan; Yusuke Hibi; Ryo Tamura; Masato Sumita; Yasuyuki Nakamura; Masanobu Naito; Koji Tsuda (Patterns, 2023)

Molecule Graph Networks with Many-body Equivariant Interactions. - Zetian Mao; Jiawen Li; Chen Liang; Diptesh Das; Masato Sumita; Koji Tsuda (CoRR, 2024)

Preference-Optimized Pareto Set Learning for Blackbox Optimization. - Zhang Haishan; Diptesh Das; Koji Tsuda (CoRR, 2024)

An ANI-2 enabled open-source protocol to estimate ligand strain after docking. - Francois Berenger; Koji Tsuda (J. Comput. Chem., 2025)

Qcforever2: Advanced Automation of Quantum Chemistry Computations. - Masato Sumita; Kei Terayama; Shoichi Ishida; Kensuke Suga; Shohei Saito; Koji Tsuda (J. Comput. Chem., 2025)

CRYSIM: Prediction of Symmetric Structures of Large Crystals with GPU-based Ising Machines. - Chen Liang; Diptesh Das; Jiang Guo; Ryo Tamura; Zetian Mao; Koji Tsuda (CoRR, 2025)

NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks. - Yiming Zhang; Koji Tsuda (CoRR, 2025)

Inverse Design of Metamaterials with Manufacturing-Guiding Spectrum-to-Structure Conditional Diffusion Model. - Jiawen Li; Jiang Guo; Yuanzhe Li; Zetian Mao; Jiaxing Shen; Tashi Xu; Diptesh Das; Jinming He; Run Hu; Yaerim Lee; Koji Tsuda; Junichiro Shiomi (CoRR, 2025)

aLLoyM: A large language model for alloy phase diagram prediction. - Yuna Oikawa; Guillaume Deffrennes; Taichi Abe; Ryo Tamura; Koji Tsuda (CoRR, 2025)