Shota Saito

发表

Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression Allowing Positive Excess Distortion Probability

Toshiyasu Matsushima, Shota Saito, 2018, 2018 IEEE International Symposium on Information Theory (ISIT).

Non-Asymptotic and Asymptotic Fundamental Limits of Guessing Subject to Distortion pdf

Toshiyasu Matsushima, Shota Saito, 2018, ArXiv.

Threshold of overflow probability in terms of smooth max-entropy for variable-length compression allowing errors

Toshiyasu Matsushima, Shota Saito, 2016, 2016 International Symposium on Information Theory and Its Applications (ISITA).

Threshold of Overflow Probability Using Smooth Max-Entropy in Lossless Fixed-to-Variable Length Source Coding for General Sources

Toshiyasu Matsushima, Shota Saito, 2016, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Evaluation of the minimum overflow threshold of bayes codes for a Markov source

Toshiyasu Matsushima, Shota Saito, Nozomi Miya, 2014, 2014 International Symposium on Information Theory and its Applications.

Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network pdf

Youhei Akimoto, Shinichi Shirakawa, Hernán E. Aguirre, 2018, ArXiv.

Evaluation of the Bayes Code from Viewpoints of the Distribution of Its Codeword Lengths

Toshiyasu Matsushima, Shota Saito, Nozomi Miya, 2015, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Non-Asymptotic Fundamental Limits of Guessing Subject to Distortion

Toshiyasu Matsushima, Shota Saito, 2019, 2019 IEEE International Symposium on Information Theory (ISIT).

Early detection of persistent topics in social networks

Ryota Tomioka, Kenji Yamanishi, Shota Saito, 2014, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014).

Evaluation of overflow probability of Bayes code in moderate deviation regime

Toshiyasu Matsushima, Shota Saito, Shota Saito, 2016, 2016 International Symposium on Information Theory and Its Applications (ISITA).

Early detection of persistent topics in social networks

Ryota Tomioka, Kenji Yamanishi, Shota Saito, 2014, ASONAM.

Bayesian Independent Component Analysis under Hierarchical Model on Independent Components

Toshiyasu Matsushima, Shota Saito, Shunsuke Horii, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Detecting Motor Learning-Related fNIRS Activity by Applying Removal of Systemic Interferences

Takahiro Imai, Takanori Sato, Isao Nambu, 2017, IEICE Trans. Inf. Syst..

New Results on Variable-Length Lossy Compression Allowing Positive Overflow and Excess Distortion Probabilities

Toshiyasu Matsushima, Shota Saito, Hideki Yagi, 2018, 2018 International Symposium on Information Theory and Its Applications (ISITA).

Spatially “Mt. Fuji” coupled LDPC codes

Toshiyasu Matsushima, Shota Saito, Yuta Nakahara, 2016, 2016 International Symposium on Information Theory and Its Applications (ISITA).

Fundamental limit and pointwise asymptotics of the Bayes code for Markov sources

Toshiyasu Matsushima, Shota Saito, Nozomi Miya, 2015, 2015 IEEE International Symposium on Information Theory (ISIT).

Variable-Length Intrinsic Randomness Allowing Positive Value of the Average Variational Distance

Toshiyasu Matsushima, Shota Saito, Jun Yoshizawa, 2018, 2018 International Symposium on Information Theory and Its Applications (ISITA).

Simple analog motion detection circuit using CCD camera based on the biological vision system

Shota Saito, Kimihiro Nishio, Yasushi Arimune, 2012, 2012 International Symposium on Communications and Information Technologies (ISCIT).

Second-Order Achievable Rate Region of Slepian-Wolf Coding Problem in terms of Smooth Max-Entropy for General Sources

Toshiyasu Matsushima, Shota Saito, 2016, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code

Shota Saito, Toshiyasu Matsushima, 2020, 2020 IEEE International Symposium on Information Theory (ISIT).

Variable-length lossy compression allowing positive overflow and excess distortion probabilities

Toshiyasu Matsushima, Shota Saito, Hideki Yagi, 2017, 2017 IEEE International Symposium on Information Theory (ISIT).

Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search

Youhei Akimoto, Shinichi Shirakawa, Shota Saito, 2019, ICML.

Joint Optimization of Convolutional Neural Network and Image Preprocessing Selection for Embryo Grade Prediction in In Vitro Fertilization

Shinichi Shirakawa, Shota Saito, Filbert H. Juwono, 2019, ISVC.

Hypergraph p-Laplacian: A Differential Geometry View

Hideyuki Suzuki, Danilo P. Mandic, Shota Saito, 2017, AAAI.

Variable-Length Intrinsic Randomness on Two Performance Criteria Based on Variational Distance

Shota Saito, Toshiyasu Matsushima, Jun Yoshizawa, 2019, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Embedded feature selection using probabilistic model-based optimization

Youhei Akimoto, Shinichi Shirakawa, Shota Saito, 2018, GECCO.

Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures pdf

Shota Saito, Shinichi Shirakawa, Shota Saito, 2019, ICANN.

Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code: Extension and Example

Toshiyasu Matsushima, Shota Saito, 2021, 2021 IEEE International Symposium on Information Theory (ISIT).

An Efficient Bayes Coding Algorithm for the Non-Stationary Source in Which Context Tree Model Varies from Interval to Interval

Toshiyasu Matsushima, Shota Saito, Koshi Shimada, 2021, 2021 IEEE Information Theory Workshop (ITW).

Meta-Tree Random Forest: Probabilistic Data-Generative Model and Bayes Optimal Prediction

Toshiyasu Matsushima, Shota Saito, Yuta Nakahara, 2021, Entropy.

Resilience evaluation and recovery time estimation in multi-storey building models

Shota Saito, Takeshi Asakawa, Nanami Oda, 2021 .

Probability Distribution on Full Rooted Trees pdf

Toshiyasu Matsushima, Shota Saito, Yuta Nakahara, 2021, Entropy.

Upper Bound on Privacy-Utility Tradeoff Allowing Positive Excess Distortion Probability

Toshiyasu Matsushima, Shota Saito, 2021, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences.

Probability Distribution on Rooted Trees

Toshiyasu Matsushima, Shota Saito, Yuta Nakahara, 2022 .

Cost-effectiveness analysis of the use of comprehensive molecular profiling before initiating monoclonal antibody therapy against metastatic colorectal cancer in Japan

Kouhei Akazawa, Shujiro Okuda, Shota Saito, 2017 .

Evaluation of motor learning by fNIRS signal analysis using a general linear model

Isao Nambu, Yasuhiro Wada, Shota Saito, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).