A new geometric integration approach based on local invariants. - Takeru Matsuda; Takayasu Matsuo (JSIAM Lett., 2013)

Minimax Estimation of Quantum States Based on the Latent Information Priors. - Takayuki Koyama; Takeru Matsuda; Fumiyasu Komaki (Entropy, 2017)

Time Series Decomposition into Oscillation Components and Phase Estimation. - Takeru Matsuda; Fumiyasu Komaki (Neural Comput., 2017)

Multivariate Time Series Decomposition into Oscillation Components. - Takeru Matsuda; Fumiyasu Komaki (Neural Comput., 2017)

A point process modeling approach for investigating the effect of online brain activity on perceptual switching. - Takeru Matsuda; Keiichi Kitajo; Yoko Yamaguchi; Fumiyasu Komaki (NeuroImage, 2017)

Estimation of Non-Normalized Mixture Models and Clustering Using Deep Representation. - Takeru Matsuda; Aapo Hyvärinen (CoRR, 2018)

Game-theoretic derivation of upper hedging prices of multivariate contingent claims and submodularity. - Takeru Matsuda; Akimichi Takemura (CoRR, 2018)

Analysis of Noise Contrastive Estimation from the Perspective of Asymptotic Variance. - Masatoshi Uehara; Takeru Matsuda; Fumiyasu Komaki (CoRR, 2018)

Estimation of Non-Normalized Mixture Models. - Takeru Matsuda; Aapo Hyvärinen (AISTATS, 2019)

Unified estimation framework for unnormalized models with statistical efficiency. - Masatoshi Uehara; Takafumi Kanamori; Takashi Takenouchi; Takeru Matsuda (CoRR, 2019)

Adjoint-based exact Hessian-vector multiplication using symplectic Runge-Kutta methods. - Shin-Ichi Ito; Takeru Matsuda; Yuto Miyatake (CoRR, 2019)

Empirical Bayes matrix completion. - Takeru Matsuda; Fumiyasu Komaki (Comput. Stat. Data Anal., 2019)

Improved loss estimation for a normal mean matrix. - Takeru Matsuda; William E. Strawderman (J. Multivar. Anal., 2019)

Harmonic Bayesian Prediction Under $ alpha$ -Divergence. - Yuzo Maruyama; Takeru Matsuda; Toshio Ohnishi (IEEE Trans. Inf. Theory, 2019)

A Unified Statistically Efficient Estimation Framework for Unnormalized Models. - Masatoshi Uehara; Takafumi Kanamori; Takashi Takenouchi; Takeru Matsuda (AISTATS, 2020)

Imputation estimators for unnormalized models with missing data. - Masatoshi Uehara; Takeru Matsuda; Jae Kwang Kim (AISTATS, 2020)

A Stein Goodness-of-fit Test for Directional Distributions. - Wenkai Xu; Takeru Matsuda (AISTATS, 2020)

Information geometry of operator scaling. - Takeru Matsuda; Tasuku Soma (CoRR, 2020)

Wasserstein Statistics in One-Dimensional Location-Scale Models. - Shun-ichi Amari; Takeru Matsuda (GSI, 2021)

Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold. - Wenkai Xu; Takeru Matsuda (ICML, 2021)

Generalized nearly isotonic regression. - Takeru Matsuda; Yuto Miyatake (CoRR, 2021)

Generalization of partitioned Runge-Kutta methods for adjoint systems. - Takeru Matsuda; Yuto Miyatake (J. Comput. Appl. Math., 2021)

Information criteria for non-normalized models. - Takeru Matsuda; Masatoshi Uehara; Aapo Hyvärinen (J. Mach. Learn. Res., 2021)

Estimation of Ordinary Differential Equation Models with Discretization Error Quantification. - Takeru Matsuda; Yuto Miyatake (SIAM/ASA J. Uncertain. Quantification, 2021)

Oscillator decomposition of infant fNIRS data. - Takeru Matsuda; Fumitaka Homae; Hama Watanabe; Gentaro Taga; Fumiyasu Komaki (PLoS Comput. Biol., 2022)

Exploring Intra and Inter-language Consistency in Embeddings with ICA. - Rongzhi Li; Takeru Matsuda; Hitomi Yanaka (EMNLP, 2024)

Polynomial approximation of noisy functions. - Takeru Matsuda; Yuji Nakatsukasa (CoRR, 2024)

Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression. - Yuto Miyatake; Kaoru Irie; Takeru Matsuda (CoRR, 2024)

Empirical Bayes Poisson matrix completion. - Xiao Li; Takeru Matsuda; Fumiyasu Komaki (Comput. Stat. Data Anal., 2024)

Modelling the discretization error of initial value problems using the Wishart distribution. - Naoki Marumo; Takeru Matsuda; Yuto Miyatake (Appl. Math. Lett., 2024)

Adapting to General Quadratic Loss via Singular Value Shrinkage. - Takeru Matsuda (IEEE Trans. Inf. Theory, 2024)

Minimaxity under the half-Cauchy prior. - Yuzo Maruyama; Takeru Matsuda (J. Multivar. Anal., 2025)