Yoshiyuki Kabashima
Orcid: 0000-0002-2949-7108
According to our database1,
Yoshiyuki Kabashima
authored at least 89 papers
between 1992 and 2024.
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Bibliography
2024
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
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
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
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
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
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
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
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
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
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
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