Yoshiyuki Kabashima

113 papers A* 5A 2B 14C 5Misc 1Journal 79Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Learning Linear Regression with Low-Rank Tasks in-Context. CoRR Kaito Takanami, Takashi Takahashi, Yoshiyuki Kabashima
2025	J	`jnl`	Storage capacity of perceptron with variable selection. CoRR Yingying Xu, Masayuki Ohzeki, Yoshiyuki Kabashima
2024	C	`conf`	Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems. ACML Xiangming Meng, Yoshiyuki Kabashima
2024	J	`jnl`	Improving Decoupled Posterior Sampling for Inverse Problems using Data Consistency Constraint. CoRR Zhi Qi, Shihong Yuan, Yuyin Yuan, Linling Kuang, Yoshiyuki Kabashima, Xiangming Meng
2024	A*	`conf`	QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models. AAAI Xiangming Meng, Yoshiyuki Kabashima
2023	A	`conf`	Average case analysis of Lasso under ultra sparse conditions. AISTATS Koki Okajima, Xiangming Meng, Takashi Takahashi, Yoshiyuki Kabashima
2023	J	`jnl`	Average case analysis of Lasso under ultra-sparse conditions. CoRR Koki Okajima, Xiangming Meng, Takashi Takahashi, Yoshiyuki Kabashima
2023	J	`jnl`	Compressed Sensing Radar Detectors Under the Row-Orthogonal Design Model: A Statistical Mechanics Perspective. IEEE Trans. Signal Process. Siqi Na, Tianyao Huang, Yimin Liu, Takashi Takahashi, Yoshiyuki Kabashima, Xiqin Wang
2023	J	`jnl`	Decision Theoretic Cutoff and ROC Analysis for Bayesian Optimal Group Testing. IEEE Trans. Inf. Theory Ayaka Sakata, Yoshiyuki Kabashima
2023	J	`jnl`	Generating gradients in the energy landscape using rectified linear type cost functions for efficiently solving 0/1 matrix factorization in Simulated Annealing. CoRR Makiko Konoshima, Hirotaka Tamura, Yoshiyuki Kabashima
2023	A	`conf`	On Model Selection Consistency of Lasso for High-Dimensional Ising Models. AISTATS Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
2023	J	`jnl`	QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models for General Sensing Matrices. CoRR Xiangming Meng, Yoshiyuki Kabashima
2023	A*	`conf`	Quantized Compressed Sensing with Score-Based Generative Models. ICLR Xiangming Meng, Yoshiyuki Kabashima
2022	J	`jnl`	Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems. CoRR Xiangming Meng, Yoshiyuki Kabashima
2022	J	`jnl`	Macroscopic Analysis of Vector Approximate Message Passing in a Model-Mismatched Setting. IEEE Trans. Inf. Theory Takashi Takahashi, Yoshiyuki Kabashima
2022	J	`jnl`	Quantized Compressed Sensing with Score-Based Generative Models. CoRR Xiangming Meng, Yoshiyuki Kabashima
2021	J	`jnl`	Decision Theoretic Cutoff and ROC Analysis for Bayesian Optimal Group Testing. CoRR Ayaka Sakata, Yoshiyuki Kabashima
2021	A*	`conf`	Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis. NeurIPS Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
2021	J	`jnl`	Ising Model Selection Using 𝓁 CoRR Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
2021	J	`jnl`	Matrix completion based on Gaussian belief propagation. CoRR Koki Okajima, Yoshiyuki Kabashima
2021	J	`jnl`	On Model Selection Consistency of Lasso for High-Dimensional Ising Models on Tree-like Graphs. CoRR Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
2020	J	`jnl`	High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study. Comput. Stat. Data Anal. Johan Pensar, Yingying Xu, Santeri Puranen, Maiju Pesonen, Yoshiyuki Kabashima, Jukka Corander
2020	J	`jnl`	Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical Criterion. Neural Comput. Yu Terada, Tomoyuki Obuchi, Takuya Isomura, Yoshiyuki Kabashima
2020	B	`conf`	Macroscopic Analysis of Vector Approximate Message Passing in a Model Mismatch Setting. ISIT Takashi Takahashi, Yoshiyuki Kabashima
2020	J	`jnl`	Macroscopic Analysis of Vector Approximate Message Passing in a Model Mismatch Setting. CoRR Takashi Takahashi, Yoshiyuki Kabashima
2020	J	`jnl`	Perfect Reconstruction of Sparse Signals via Greedy Monte-Carlo Search. CoRR Kao Hayashi, Tomoyuki Obuchi, Yoshiyuki Kabashima
2020	J	`jnl`	Semi-analytic approximate stability selection for correlated data in generalized linear models. CoRR Takashi Takahashi, Yoshiyuki Kabashima
2020	J	`jnl`	Structure Learning in Inverse Ising Problems Using 𝓁 CoRR Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
2019	J	`jnl`	Approximate matrix completion based on cavity method. CoRR Chihiro Noguchi, Yoshiyuki Kabashima
2019	J	`jnl`	High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study. CoRR Johan Pensar, Yingying Xu, Santeri Puranen, Maiju Pesonen, Yoshiyuki Kabashima, Jukka Corander
2019	J	`jnl`	Learning performance in inverse Ising problems with sparse teacher couplings. CoRR Alia Abbara, Yoshiyuki Kabashima, Tomoyuki Obuchi, Yingying Xu
2019	J	`jnl`	Replicated Vector Approximate Message Passing For Resampling Problem. CoRR Takashi Takahashi, Yoshiyuki Kabashima
2019	J	`jnl`	Semi-Analytic Resampling in Lasso. J. Mach. Learn. Res. Tomoyuki Obuchi, Yoshiyuki Kabashima
2018	J	`jnl`	Accelerating Cross-Validation in Multinomial Logistic Regression with $\ell_1$-Regularization. J. Mach. Learn. Res. Tomoyuki Obuchi, Yoshiyuki Kabashima
2018	J	`jnl`	Counting the number of metastable states in the modularity landscape: Algorithmic detectability limit of greedy algorithms in community detection. CoRR Tatsuro Kawamoto, Yoshiyuki Kabashima
2018	A*	`conf`	Objective and efficient inference for couplings in neuronal networks. NeurIPS Yu Terada, Tomoyuki Obuchi, Takuya Isomura, Yoshiyuki Kabashima
2018	J	`jnl`	Statistical mechanical analysis of sparse linear regression as a variable selection problem. CoRR Tomoyuki Obuchi, Yoshinori Nakanishi-Ohno, Masato Okada, Yoshiyuki Kabashima
2016	J	`jnl`	Analysis of Regularized LS Reconstruction and Random Matrix Ensembles in Compressed Sensing. IEEE Trans. Inf. Theory Mikko Vehkaperä, Yoshiyuki Kabashima, Saikat Chatterjee
2016	—	`conf`	Approximate cross-validation formula for Bayesian linear regression. Allerton Yoshiyuki Kabashima, Tomoyuki Obuchi, Makoto Uemura
2016	J	`jnl`	Approximate cross-validation formula for Bayesian linear regression. CoRR Yoshiyuki Kabashima, Tomoyuki Obuchi, Makoto Uemura
2016	J	`jnl`	Comparative analysis of model assessment in community detection. CoRR Tatsuro Kawamoto, Yoshiyuki Kabashima
2016	J	`jnl`	Cross validation in LASSO and its acceleration. CoRR Tomoyuki Obuchi, Yoshiyuki Kabashima
2016	J	`jnl`	Cross-validation model assessment for modular networks. CoRR Tatsuro Kawamoto, Yoshiyuki Kabashima
2016	J	`jnl`	Detectability thresholds of general modular graphs. CoRR Tatsuro Kawamoto, Yoshiyuki Kabashima
2016	J	`jnl`	Phase Transitions and Sample Complexity in Bayes-Optimal Matrix Factorization. IEEE Trans. Inf. Theory Yoshiyuki Kabashima, Florent Krzakala, Marc Mézard, Ayaka Sakata, Lenka Zdeborová
2016	—	`conf`	Sampling approach to sparse approximation problem: Determining degrees of freedom by simulated annealing. EUSIPCO Tomoyuki Obuchi, Yoshiyuki Kabashima
2016	J	`jnl`	Sampling approach to sparse approximation problem: determining degrees of freedom by simulated annealing. CoRR Tomoyuki Obuchi, Yoshiyuki Kabashima
2016	J	`jnl`	Sparse approximation problem: how rapid simulated annealing succeeds and fails. CoRR Tomoyuki Obuchi, Yoshiyuki Kabashima
2016	J	`jnl`	Statistical mechanics analysis of thresholding 1-bit compressed sensing. CoRR Yingying Xu, Yoshiyuki Kabashima
2015	J	`jnl`	Detectability of the spectral method for sparse graph partitioning. CoRR Tatsuro Kawamoto, Yoshiyuki Kabashima
2015	J	`jnl`	Dimensionality reduction based on an overcomplete basis. CoRR Yoshinori Nakanishi-Ohno, Tomoyuki Obuchi, Masato Okada, Yoshiyuki Kabashima
2015	J	`jnl`	Limitations in the spectral method for graph partitioning: detectability threshold and localization of eigenvectors. CoRR Tatsuro Kawamoto, Yoshiyuki Kabashima
2015	J	`jnl`	Online compressed sensing. CoRR Paulo V. Rossi, Yoshiyuki Kabashima, Jun-ichi Inoue
2015	J	`jnl`	Replica Symmetric Bound for Restricted Isometry Constant. CoRR Ayaka Sakata, Yoshiyuki Kabashima
2015	B	`conf`	Replica symmetric bound for restricted isometry constant. ISIT Ayaka Sakata, Yoshiyuki Kabashima
2014	B	`conf`	Analysis of regularized LS reconstruction and random matrix ensembles in compressed sensing. ISIT Mikko Vehkaperä, Yoshiyuki Kabashima, Saikat Chatterjee
2014	J	`jnl`	Bayesian signal reconstruction for 1-bit compressed sensing. CoRR Yingying Xu, Yoshiyuki Kabashima, Lenka Zdeborová
2014	J	`jnl`	Origin of the computational hardness for learning with binary synapses. CoRR Haiping Huang, Yoshiyuki Kabashima
2014	J	`jnl`	Phase transitions and sample complexity in Bayes-optimal matrix factorization. CoRR Yoshiyuki Kabashima, Florent Krzakala, Marc Mézard, Ayaka Sakata, Lenka Zdeborová
2014	B	`conf`	Signal recovery using expectation consistent approximation for linear observations. ISIT Yoshiyuki Kabashima, Mikko Vehkaperä
2014	J	`jnl`	Signal recovery using expectation consistent approximation for linear observations. CoRR Yoshiyuki Kabashima, Mikko Vehkaperä
2013	J	`jnl`	Analysis of Regularized LS Reconstruction and Random Matrix Ensembles in Compressed Sensing. CoRR Mikko Vehkaperä, Yoshiyuki Kabashima, Saikat Chatterjee
2013	J	`jnl`	Entropy landscape of solutions in the binary perceptron problem CoRR Haiping Huang, K. Y. Michael Wong, Yoshiyuki Kabashima
2013	J	`jnl`	Reconstruction algorithm in compressed sensing based on maximum a posteriori estimation. CoRR Koujin Takeda, Yoshiyuki Kabashima
2013	J	`jnl`	Sample Complexity of Bayesian Optimal Dictionary Learning CoRR Ayaka Sakata, Yoshiyuki Kabashima
2013	B	`conf`	Sample complexity of Bayesian optimal dictionary learning. ISIT Ayaka Sakata, Yoshiyuki Kabashima
2013	J	`jnl`	Statistical Mechanics Approach to Sparse Noise Denoising CoRR Mikko Vehkaperä, Yoshiyuki Kabashima, Saikat Chatterjee
2013	J	`jnl`	Statistical mechanics approach to 1-bit compressed sensing CoRR Yingying Xu, Yoshiyuki Kabashima
2013	—	`conf`	Statistical mechanics approach to sparse noise denoising. EUSIPCO Mikko Vehkaperä, Yoshiyuki Kabashima, Saikat Chatterjee
2012	J	`jnl`	A Mean-field Approach for an Intercarrier Interference Canceller for OFDM CoRR Ayaka Sakata, Yoshiyuki Kabashima, Yitzhak Peleg
2012	J	`jnl`	A study of the universal threshold in the L1 recovery by statistical mechanics CoRR Koujin Takeda, Yoshiyuki Kabashima
2012	Misc	`conf`	A study of the universal threshold in the ℓ1 recovery by statistical mechanics. CISS Koujin Takeda, Yoshiyuki Kabashima
2012	J	`jnl`	Analysis of Sparse Representations Using Bi-Orthogonal Dictionaries CoRR Mikko Vehkaperä, Yoshiyuki Kabashima, Saikat Chatterjee, Erik Aurell, Mikael Skoglund, Lars K. Rasmussen
2012	B	`conf`	Analysis of sparse representations using bi-orthogonal dictionaries. ITW Mikko Vehkaperä, Yoshiyuki Kabashima, Saikat Chatterjee, Erik Aurell, Mikael Skoglund, Lars K. Rasmussen
2012	C	`conf`	Average growth rate of low-density generator-matrix codes ensembles. ISITA Kazushi Mimura, Tadashi Wadayama, Yoshiyuki Kabashima
2012	J	`jnl`	Compressed sensing with sparse, structured matrices CoRR Maria Chiara Angelini, Federico Ricci-Tersenghi, Yoshiyuki Kabashima
2012	—	`conf`	Compressed sensing with sparse, structured matrices. Allerton Conference Maria Chiara Angelini, Federico Ricci-Tersenghi, Yoshiyuki Kabashima
2012	C	`conf`	Sparse-matrix-based compressed sensing for spectrum sensing in Flexible Wireless System. APCC Doohwan Lee, Yoshiyuki Kabashima, Koujin Takeda, Takayuki Yamada, Kazunori Akabane, Kazuhiro Uehara
2012	B	`conf`	Statistical Mechanical Analysis of Semantic Orientations on Lexical Network. COLING Takuma Goto, Yoshiyuki Kabashima, Hiroya Takamura
2012	J	`jnl`	Statistical Mechanics of Dictionary Learning CoRR Ayaka Sakata, Yoshiyuki Kabashima
2012	J	`jnl`	Typical l CoRR Yoshiyuki Kabashima, Mikko Vehkaperä, Saikat Chatterjee
2011	J	`jnl`	A signal recovery algorithm for sparse matrix based compressed sensing CoRR Yoshiyuki Kabashima, Tadashi Wadayama
2011	B	`conf`	Average error exponent of undetected error probability of binary matrix ensembles. ISIT Kazushi Mimura, Tadashi Wadayama, Toshiyuki Tanaka, Yoshiyuki Kabashima
2011	J	`jnl`	Spectral Analysis of Random Sparse Matrices. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Tomonori Ando, Yoshiyuki Kabashima, Hisanao Takahashi, Osamu Watanabe, Masaki Yamamoto
2010	J	`jnl`	Statistical Mechanical Analysis of Compressed Sensing Utilizing Correlated Compression Matrix CoRR Koujin Takeda, Yoshiyuki Kabashima
2010	J	`jnl`	Statistical Mechanical Analysis of a Typical Reconstruction Limit of Compressed Sensing CoRR Yoshiyuki Kabashima, Tadashi Wadayama, Toshiyuki Tanaka
2010	J	`jnl`	Statistical Mechanical Assessment of a Reconstruction Limit of Compressed Sensing: Toward Theoretical Analysis of Correlated Signals CoRR Koujin Takeda, Yoshiyuki Kabashima
2010	B	`conf`	Statistical mechanical analysis of a typical reconstruction limit of compressed sensing. ISIT Yoshiyuki Kabashima, Tadashi Wadayama, Toshiyuki Tanaka
2010	B	`conf`	Statistical mechanical analysis of compressed sensing utilizing correlated compression matrix. ISIT Koujin Takeda, Yoshiyuki Kabashima
2009	J	`jnl`	Decoding Algorithm of Low-density Parity-check Codes based on Bowman-Levin Approximation. New Gener. Comput. Ken-ichi Tamura, Miho Komiya, Masato Inoue, Yoshiyuki Kabashima
2009	J	`jnl`	Statistical mechanical analysis of the Kronecker channel model for MIMO wireless communication CoRR Atsushi Hatabu, Koujin Takeda, Yoshiyuki Kabashima
2009	J	`jnl`	Typical reconstruction limit of compressed sensing based on Lp-norm minimization CoRR Yoshiyuki Kabashima, Tadashi Wadayama, Toshiyuki Tanaka
2008	J	`jnl`	An integral formula for large random rectangular matrices and its application to analysis of linear vector channels CoRR Yoshiyuki Kabashima
2008	B	`conf`	An integral formula for large random rectangular matrices and its application to analysis of linear vector channels. WiOpt Yoshiyuki Kabashima
2008	J	`jnl`	How could the replica method improve accuracy of performance assessment of channel coding? CoRR Yoshiyuki Kabashima
2007	J	`jnl`	Inference from correlated patterns: a unified theory for perceptron learning and linear vector channels CoRR Yoshiyuki Kabashima
2007	J	`jnl`	Statistical mechanical analysis of the linear vector channel in digital communication CoRR Koujin Takeda, Atsushi Hatabu, Yoshiyuki Kabashima
2006	J	`jnl`	Analysis of CDMA systems that are characterized by eigenvalue spectrum CoRR Koujin Takeda, Shinsuke Uda, Yoshiyuki Kabashima
2006	J	`jnl`	Statistical Mechanics of Communication and Computation. New Gener. Comput. Yoshiyuki Kabashima
2006	J	`jnl`	Survey propagation for the cascading Sourlas code CoRR Jonathan Paul Lewis Hatchett, Yoshiyuki Kabashima
2005	J	`jnl`	A CDMA multiuser detection algorithm based on survey propagation CoRR Yoshiyuki Kabashima
2005	B	`conf`	An LDPCC decoding algorithm based on bowman-levin approximation -comparison with bp and CCCP-. ISIT Masato Inoue, Miho Komiya, Yoshiyuki Kabashima
2005	J	`jnl`	Statistical Mechanical Approach to Lossy Data Compression:Theory and Practice CoRR Tadaaki Hosaka, Yoshiyuki Kabashima
2004	B	`conf`	A BP-Based Algorithm for Performing Bayesian Inference in Large Perceptron-Type Networks. ALT Yoshiyuki Kabashima, Shinsuke Uda
2004	B	`conf`	Statistical mechanical evaluation of error exponents for lossy data compression. ISIT Tadaaki Hosaka, Yoshiyuki Kabashima
2001	C	`conf`	Statistical Physics of Low Density Parity Check Error Correcting Codes. IMACC David Saad, Yoshiyuki Kabashima, Tatsuto Murayama, Renato Vicente
2001	C	`conf`	Weight vs. Magnetization Enumerator for Gallager Codes. IMACC Jort van Mourik, David Saad, Yoshiyuki Kabashima
2000	—	`conf`	Error-correcting Codes on a Bethe-like Lattice. NIPS Renato Vicente, David Saad, Yoshiyuki Kabashima
1999	—	`conf`	Regular and Irregular Gallager-zype Error-Correcting Codes. NIPS Yoshiyuki Kabashima, Tatsuto Murayama, David Saad, Renato Vicente
1998	—	`conf`	The Belief in TAP. NIPS Yoshiyuki Kabashima, David Saad
1995	J	`jnl`	Learning a Decision Boundary from Stochastic Examples: Incremental Algorithms with and without Queries. Neural Comput. Yoshiyuki Kabashima, Shigeru Shinomoto
1993	A*	`conf`	Acceleration of Learning in Binary Choice Problems. COLT Yoshiyuki Kabashima, Shigeru Shinomoto
1992	J	`jnl`	Learning Curves for Error Minimum and Maximum Likelihood Algorithms. Neural Comput. Yoshiyuki Kabashima, Shigeru Shinomoto