Statistical mechanics of lossy compression for non-monotonic multilayer perceptrons - Florent Cousseau; Kazushi Mimura; Toshiaki Omori; Masato Okada (CoRR, 2008)

MAP estimation algorithm for phase response curves based on analysis of the observation process. - Keisuke Ota; Toshiaki Omori; Toru Aonishi (J. Comput. Neurosci., 2009)

Statistical Calibration Method for Physiological Ca2+ Fluorescence Signals. - Takamasa Tsunoda; Yoshiaki Oda; Toshiaki Omori; Masato Okada; Masashi Inoue; Hiroyoshi Miyakawa; Toru Aonishi (Aust. J. Intell. Inf. Process. Syst., 2010)

Nonlinear Effect on Phase Response Curve of Neuron Model. - Munenori Iida; Toshiaki Omori; Toru Aonishi; Masato Okada (ICONIP (3), 2011)

Extracting Latent Dynamics from Multi-dimensional Data by Probabilistic Slow Feature Analysis. - Toshiaki Omori (ICONIP (3), 2013)

A robust incremental principal component analysis for feature extraction from stream data with missing values. - Daijiro Aoki; Toshiaki Omori; Seiichi Ozawa (IJCNN, 2013)

Estimating Nonlinear Spatiotemporal Membrane Dynamics in Active Dendrites. - Toshiaki Omori (ICONIP (1), 2014)

t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom. - Jun Kitazono; Nistor Grozavu; Nicoleta Rogovschi; Toshiaki Omori; Seiichi Ozawa (ICONIP (3), 2016)

Stochastic collapsed variational Bayesian inference for biterm topic model. - Narutaka Awaya; Jun Kitazono; Toshiaki Omori; Seiichi Ozawa (IJCNN, 2016)

t-Distributed stochastic neighbor embedding spectral clustering. - Nicoleta Rogovschi; Jun Kitazono; Nistor Grozavu; Toshiaki Omori; Seiichi Ozawa (IJCNN, 2017)

Privacy preserving extreme learning machine using additively homomorphic encryption. - Shohei Kuri; Takuya Hayashi 001; Toshiaki Omori; Seiichi Ozawa; Yoshinori Aono; Le Trieu Phong; Lihua Wang 001; Shiho Moriai (SSCI, 2017)

A discrete surface theory. - M. Kotani; Hisashi Naito; Toshiaki Omori (Comput. Aided Geom. Des., 2017)

Privacy-Preserving Naive Bayes Classification Using Fully Homomorphic Encryption. - Sangwook Kim; Masahiro Omori; Takuya Hayashi 001; Toshiaki Omori; Lihua Wang 001; Seiichi Ozawa (ICONIP (4), 2018)

Harmonic mean similarity based quantum annealing for k-means. - Jo Takano; Toshiaki Omori (INNS Conference on Big Data, 2018)

Online Estimation and Control of Neuronal Nonlinear Dynamics Based on Data-Driven Statistical Approach. - Shuhei Fukami; Toshiaki Omori (ICONIP (5), 2019)

Sparse Modeling of Nonlinear Dynamics in Heterogeneous Reactions. - Masaki Ito; Tatsu Kuwatani; Ryosuke Oyanagi; Toshiaki Omori (ICONIP (2), 2019)

Sparse Estimation of Neuronal Network Structure with Observed Data. - Ren Masahiro; Toshiaki Omori (ICONIP (5), 2019)

Eigenvalues of the Laplacian on the Goldberg-Coxeter Constructions for 3- and 4-valent Graphs. - Toshiaki Omori; Hisashi Naito; Tatsuya Tate (Electron. J. Comb., 2019)

Estimation of neuronal dynamics based on sparse modeling. - Shinya Otsuka; Toshiaki Omori (Neural Networks, 2019)

Sparse Modeling Approach for Estimating Odor Pleasantness from Multi-dimensional Sensor Data. - Moe Yokoi; Toshiaki Omori (LifeTech, 2020)

Online Bayesian approach for estimation and control of neural system. - Shuhei Fukami; Toshiaki Omori (LifeTech, 2021)

Data-Driven Analysis of Nonlinear Heterogeneous Reactions through Sparse Modeling and Bayesian Statistical Approaches. - Masaki Ito; Tatsu Kuwatani; Ryosuke Oyanagi; Toshiaki Omori (Entropy, 2021)

Estimating Distributions of Parameters in Nonlinear State Space Models with Replica Exchange Particle Marginal Metropolis-Hastings Method. - Hiroaki Inoue; Koji Hukushima; Toshiaki Omori (Entropy, 2022)

Three-dimensional Super-resolution of X-ray CT Data of Rock Samples by Sparse Representation Learning. - Shoi Suzuki; Atsushi Okamoto; Katsuyoshi Michibayashi; Toshiaki Omori (ISMSI, 2023)

Probabilistic Estimation and Control of Dynamical Systems Using Particle Filter with Adaptive Backward Sampling. - Taketo Omi; Toshiaki Omori (Entropy, 2024)