# Yoshiyuki Kabashima

Orcid: 0000-0002-2949-7108
According to our database

Collaborative distances:

^{1}, Yoshiyuki Kabashima authored at least 89 papers between 1992 and 2024.Collaborative distances:

## Timeline

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## Bibliography

2024

QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models.

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

IEEE Trans. Inf. Theory, September, 2023

Compressed Sensing Radar Detectors Under the Row-Orthogonal Design Model: A Statistical Mechanics Perspective.

IEEE Trans. Signal Process., 2023

Generating gradients in the energy landscape using rectified linear type cost functions for efficiently solving 0/1 matrix factorization in Simulated Annealing.

CoRR, 2023

QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models for General Sensing Matrices.

CoRR, 2023

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Macroscopic Analysis of Vector Approximate Message Passing in a Model-Mismatched Setting.

IEEE Trans. Inf. Theory, 2022

CoRR, 2022

2021

On Model Selection Consistency of Lasso for High-Dimensional Ising Models on Tree-like Graphs.

CoRR, 2021

CoRR, 2021

CoRR, 2021

Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis.

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical Criterion.

Neural Comput., 2020

High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study.

Comput. Stat. Data Anal., 2020

Structure Learning in Inverse Ising Problems Using 𝓁<sub>2</sub>-Regularized Linear Estimator.

CoRR, 2020

CoRR, 2020

Semi-analytic approximate stability selection for correlated data in generalized linear models.

CoRR, 2020

Macroscopic Analysis of Vector Approximate Message Passing in a Model Mismatch Setting.

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

J. Mach. Learn. Res., 2019

CoRR, 2019

CoRR, 2019

CoRR, 2019

2018

Accelerating Cross-Validation in Multinomial Logistic Regression with $\ell_1$-Regularization.

J. Mach. Learn. Res., 2018

Counting the number of metastable states in the modularity landscape: Algorithmic detectability limit of greedy algorithms in community detection.

CoRR, 2018

Statistical mechanical analysis of sparse linear regression as a variable selection problem.

CoRR, 2018

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Analysis of Regularized LS Reconstruction and Random Matrix Ensembles in Compressed Sensing.

IEEE Trans. Inf. Theory, 2016

IEEE Trans. Inf. Theory, 2016

CoRR, 2016

CoRR, 2016

CoRR, 2016

CoRR, 2016

CoRR, 2016

CoRR, 2016

Sampling approach to sparse approximation problem: Determining degrees of freedom by simulated annealing.

Proceedings of the 24th European Signal Processing Conference, 2016

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

CoRR, 2015

CoRR, 2015

CoRR, 2015

Limitations in the spectral method for graph partitioning: detectability threshold and localization of eigenvectors.

CoRR, 2015

Proceedings of the IEEE International Symposium on Information Theory, 2015

2014

CoRR, 2014

CoRR, 2014

Signal recovery using expectation consistent approximation for linear observations.

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013

CoRR, 2013

CoRR, 2013

Reconstruction algorithm in compressed sensing based on maximum a posteriori estimation.

CoRR, 2013

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Proceedings of the 21st European Signal Processing Conference, 2013

2012

Typical l<sub>1</sub>-recovery limit of sparse vectors represented by concatenations of random orthogonal matrices

CoRR, 2012

CoRR, 2012

CoRR, 2012

Proceedings of the 2012 IEEE Information Theory Workshop, 2012

Proceedings of the International Symposium on Information Theory and its Applications, 2012

Proceedings of the COLING 2012, 2012

Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

Sparse-matrix-based compressed sensing for spectrum sensing in Flexible Wireless System.

Proceedings of the 18th Asia-Pacific Conference on Communications, 2012

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011

CoRR, 2011

Average error exponent of undetected error probability of binary matrix ensembles.

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

2010

Statistical Mechanical Assessment of a Reconstruction Limit of Compressed Sensing: Toward Theoretical Analysis of Correlated Signals

CoRR, 2010

Statistical mechanical analysis of compressed sensing utilizing correlated compression matrix.

Proceedings of the IEEE International Symposium on Information Theory, 2010

Statistical mechanical analysis of a typical reconstruction limit of compressed sensing.

Proceedings of the IEEE International Symposium on Information Theory, 2010

2009

Decoding Algorithm of Low-density Parity-check Codes based on Bowman-Levin Approximation.

New Gener. Comput., 2009

Statistical mechanical analysis of the Kronecker channel model for MIMO wireless communication

CoRR, 2009

CoRR, 2009

2008

How could the replica method improve accuracy of performance assessment of channel coding?

CoRR, 2008

An integral formula for large random rectangular matrices and its application to analysis of linear vector channels.

Proceedings of the 6th International Symposium on Modeling and Optimization in Mobile, 2008

2007

Inference from correlated patterns: a unified theory for perceptron learning and linear vector channels

CoRR, 2007

Statistical mechanical analysis of the linear vector channel in digital communication

CoRR, 2007

2006

New Gener. Comput., 2006

CoRR, 2006

CoRR, 2006

2005

CoRR, 2005

CoRR, 2005

An LDPCC decoding algorithm based on bowman-levin approximation -comparison with bp and CCCP-.

Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

2004

Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

A BP-Based Algorithm for Performing Bayesian Inference in Large Perceptron-Type Networks.

Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004

2001

Proceedings of the Cryptography and Coding, 2001

Proceedings of the Cryptography and Coding, 2001

2000

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1995

Learning a Decision Boundary from Stochastic Examples: Incremental Algorithms with and without Queries.

Neural Comput., 1995

1993

Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993

1992

Neural Comput., 1992