So Hirai

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 9

Top Topics

Minimum Description Length

Spectral Analysis

Normalized Maximum Likelihood

Top Venues

IEEE Trans. Inf. Theory

Publications

Kenji Yamanishi, So Hirai
Detecting Signs of Model Change with Continuous Model Selection Based on Descriptive Dimensionality. CoRR (2023)
Kenji Yamanishi, So Hirai
Detecting signs of model change with continuous model selection based on descriptive dimensionality. Appl. Intell. 53 (22) (2023)
So Hirai, Kenji Yamanishi
Detecting Gradual Structure Changes of Non-parametric Distributions via Kernel Complexity. IEEE BigData (2021)
Taiji Suzuki, Hiroshi Abe, Tomoya Murata, Shingo Horiuchi, Kotaro Ito, Tokuma Wachi, So Hirai, Masatoshi Yukishima, Tomoaki Nishimura
Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error. IJCAI (2020)
So Hirai, Kenji Yamanishi
Detecting Model Changes and their Early Warning Signals Using MDL Change Statistics. IEEE BigData (2019)
So Hirai, Kenji Yamanishi
Correction to Efficient Computation of Normalized Maximum Likelihood Codes for Gaussian Mixture Models With Its Applications to Clustering. IEEE Trans. Inf. Theory 65 (10) (2019)
Taiji Suzuki, Hiroshi Abe, Tomoya Murata, Shingo Horiuchi, Kotaro Ito, Tokuma Wachi, So Hirai, Masatoshi Yukishima, Tomoaki Nishimura
Spectral-Pruning: Compressing deep neural network via spectral analysis. CoRR (2018)
So Hirai, Kenji Yamanishi
Detecting Latent Structure Uncertainty with Structural Entropy. IEEE BigData (2018)
So Hirai, Kenji Yamanishi
An Upper Bound on Normalized Maximum Likelihood Codes for Gaussian Mixture Models. CoRR (2017)
So Hirai, Kenji Yamanishi
Efficient Computation of Normalized Maximum Likelihood Codes for Gaussian Mixture Models With Its Applications to Clustering. IEEE Trans. Inf. Theory 59 (11) (2013)
So Hirai, Kenji Yamanishi
Detecting changes of clustering structures using normalized maximum likelihood coding. KDD (2012)
So Hirai, Kenji Yamanishi
Normalized Maximum Likelihood Coding for Exponential Family with Its Applications to Optimal Clustering CoRR (2012)
So Hirai, Kenji Yamanishi
Efficient computation of normalized maximum likelihood coding for Gaussian mixtures with its applications to optimal clustering. ISIT (2011)