So Hirai

13 papers A* 2B 1Journal 7Unranked 3

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