So Hirai

According to our database, So Hirai authored at least 12 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Detecting signs of model change with continuous model selection based on descriptive dimensionality.

Kenji Yamanishi, So Hirai

Appl. Intell., November, 2023

2021

Detecting Gradual Structure Changes of Non-parametric Distributions via Kernel Complexity.

So Hirai, Kenji Yamanishi

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error.

Taiji Suzuki, Hiroshi Abe, Tomoya Murata, Shingo Horiuchi, Kotaro Ito, Tokuma Wachi, So Hirai, Masatoshi Yukishima, Tomoaki Nishimura

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Correction to Efficient Computation of Normalized Maximum Likelihood Codes for Gaussian Mixture Models With Its Applications to Clustering.

So Hirai, Kenji Yamanishi

IEEE Trans. Inf. Theory, 2019

Detecting Model Changes and their Early Warning Signals Using MDL Change Statistics.

So Hirai, Kenji Yamanishi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Spectral-Pruning: Compressing deep neural network via spectral analysis.

Taiji Suzuki, Hiroshi Abe, Tomoya Murata, Shingo Horiuchi, Kotaro Ito, Tokuma Wachi, So Hirai, Masatoshi Yukishima, Tomoaki Nishimura

CoRR, 2018

Detecting Latent Structure Uncertainty with Structural Entropy.

So Hirai, Kenji Yamanishi

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

An Upper Bound on Normalized Maximum Likelihood Codes for Gaussian Mixture Models.

So Hirai, Kenji Yamanishi

CoRR, 2017

2013

Efficient Computation of Normalized Maximum Likelihood Codes for Gaussian Mixture Models With Its Applications to Clustering.

So Hirai, Kenji Yamanishi

IEEE Trans. Inf. Theory, 2013

2012

Normalized Maximum Likelihood Coding for Exponential Family with Its Applications to Optimal Clustering

So Hirai, Kenji Yamanishi

CoRR, 2012

Detecting changes of clustering structures using normalized maximum likelihood coding.

So Hirai, Kenji Yamanishi

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

Efficient computation of normalized maximum likelihood coding for Gaussian mixtures with its applications to optimal clustering.

So Hirai, Kenji Yamanishi

Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011