Ryo Hayakawa

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All published works

Action	Title	Year	Authors
+ PDF Chat	Deep Unfolding-Aided Parameter Tuning for Plug-and-Play Based Video Snapshot Compressive Imaging	2024	Takashi Matsuda Ryo Hayakawa Youji Iiguni
+	Noise Variance Estimation Using Asymptotic Residual in Compressed Sensing	2023	Ryo Hayakawa
+ PDF Chat	Asymptotic Performance Prediction for ADMM-Based Compressed Sensing	2022	Ryo Hayakawa
+	Error Prediction of Douglas-Rachford Algorithm for Linear Inverse Problems: Asymptotics of Proximity Operator for Squared Loss	2021	Ryo Hayakawa
+	Asymptotic Performance Prediction for ADMM-Based Compressed Sensing	2020	Ryo Hayakawa
+	Noise Variance Estimation Using Asymptotic Residual in Compressed Sensing	2020	Ryo Hayakawa
+ PDF Chat	Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-Driven Tuning Approach	2019	Satoshi Takabe Masayuki Imanishi Tadashi Wadayama Ryo Hayakawa Kazunori Hayashi
+	Sum of Complex Sparse Regularizers Optimization for Complex Discrete-Valued Vector Reconstruction	2018	Ryo Hayakawa Kazunori Hayashi
+	Discreteness-Aware Approximate Message Passing for Discrete-Valued Vector Reconstruction	2018	Ryo Hayakawa Kazunori Hayashi
+	Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach	2018	Satoshi Takabe Masayuki Imanishi Tadashi Wadayama Ryo Hayakawa Kazunori Hayashi

Common Coauthors

Coauthor	Papers Together
Kazunori Hayashi	4
Tadashi Wadayama	2
Satoshi Takabe	2
Masayuki Imanishi	2
Takashi Matsuda	1
Youji Iiguni	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	An iterative thresholding algorithm for linear inverse problems with a sparsity constraint	2004	Ingrid Daubechies Michel Defrise Christine De Mol	6
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	5
+ PDF Chat	Proximal Splitting Methods in Signal Processing	2011	Patrick L. Combettes Jean‐Christophe Pesquet	5
+ PDF Chat	On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone operators	1992	Jonathan Eckstein Dimitri P. Bertsekas	4
+ PDF Chat	Optimality of large MIMO detection via approximate message passing	2015	Charles Jeon Ramina Ghods Arian Maleki Christoph Studer	4
+	Message-passing algorithms for compressed sensing	2009	David L. Donoho Arian Maleki Andrea Montanari	4
+ PDF Chat	Discrete Signal Reconstruction by Sum of Absolute Values	2015	Masaaki Nagahara	4
+ PDF Chat	Universality laws for randomized dimension reduction, with applications	2017	Samet Oymak Joel A. Tropp	4
+	Precise Error Analysis of Regularized <inline-formula> <tex-math notation="LaTeX">$M$ </tex-math> </inline-formula>-Estimators in High Dimensions	2018	Christos Thrampoulidis Ehsan Abbasi Babak Hassibi	4
+	A Universal Analysis of Large-Scale Regularized Least Squares Solutions	2017	Ashkan Panahi Babak Hassibi	4
+ PDF Chat	Symbol Error Rate Performance of Box-Relaxation Decoders in Massive MIMO	2018	Christos Thrampoulidis Weiyu Xu Babak Hassibi	4
+ PDF Chat	Decoding by Linear Programming	2005	Emmanuel J. Candès Terence Tao	4
+ PDF Chat	The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing	2011	Mohsen Bayati Andrea Montanari	4
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	4
+ PDF Chat	The Noise-Sensitivity Phase Transition in Compressed Sensing	2011	David L. Donoho Arian Maleki Andrea Montanari	4
+	Basic Descent Methods	2015	David G. Luenberger Yinyu Ye	3
+ PDF Chat	Accurate Prediction of Phase Transitions in Compressed Sensing via a Connection to Minimax Denoising	2013	David L. Donoho Iain M. Johnstone Andrea Montanari	3
+	Matching pursuits with time-frequency dictionaries	1993	Stéphane Mallat Zhifeng Zhang	3
+	Regularized Linear Regression: A Precise Analysis of the Estimation Error	2015	Christos Thrampoulidis Samet Oymak Babak Hassibi	3
+ PDF Chat	The LASSO Risk for Gaussian Matrices	2011	Mohsen Bayati Andrea Montanari	3
+	Compressed sensing	2006	David L. Donoho	2
+ PDF Chat	Deep learning for wireless physical layer: Opportunities and challenges	2017	Tianqi Wang Chao-Kai Wen Hanqing Wang Feifei Gao Tao Jiang Shi Jin	2
+ PDF Chat	Learning to Detect	2019	Neev Samuel Tzvi Diskin Ami Wiesel	2
+ PDF Chat	The Power of Convex Relaxation: Near-Optimal Matrix Completion	2010	Emmanuel J. Candès Terence Tao	2
+	Discreteness-Aware Approximate Message Passing for Discrete-Valued Vector Reconstruction	2018	Ryo Hayakawa Kazunori Hayashi	2
+ PDF Chat	Generalized Orthogonal Matching Pursuit	2012	Jian Wang Seokbeop Kwon Byonghyo Shim	2
+ PDF Chat	Universality in polytope phase transitions and message passing algorithms	2015	Mohsen Bayati Marc Lelarge Andrea Montanari	2
+ PDF Chat	The benefit of group sparsity	2010	Junzhou Huang Tong Zhang	2
+ PDF Chat	Massive MIMO for next generation wireless systems	2014	Erik G. Larsson Ove Edfors Fredrik Tufvesson Thomas L. Marzetta	2
+ PDF Chat	Compressed Sensing for Wireless Communications: Useful Tips and Tricks	2017	Jun Won Choi Byonghyo Shim Yacong Ding Bhaskar D. Rao Dong In Kim	2
+ PDF Chat	Deep Learning-Aided Projected Gradient Detector for Massive Overloaded MIMO Channels	2019	Satoshi Takabe Masayuki Imanishi Tadashi Wadayama Kazunori Hayashi	2
+ PDF Chat	Deep Learning for Massive MIMO CSI Feedback	2018	Chao-Kai Wen Wan-Ting Shih Shi Jin	2
+ PDF Chat	Subspace Pursuit for Compressive Sensing Signal Reconstruction	2009	Wei Dai Olgica Milenković	2
+ PDF Chat	Multipath Matching Pursuit	2014	Suhyuk Kwon Jian Wang Byonghyo Shim	2
+ PDF Chat	Trainable ISTA for Sparse Signal Recovery	2019	Daisuke Ito Satoshi Takabe Tadashi Wadayama	2
+ PDF Chat	Vector approximate message passing	2017	Sundeep Rangan Philip Schniter Alyson K. Fletcher	2
+ PDF Chat	Deep Learning-Aided Trainable Projected Gradient Decoding for LDPC Codes	2019	Tadashi Wadayama Satoshi Takabe	2
+	CoSaMP: Iterative signal recovery from incomplete and inaccurate samples	2008	Deanna Needell Joel A. Tropp	2
+	Orthogonal AMP	2017	Junjie Ma Li Ping	2
+	Splitting Algorithms for the Sum of Two Nonlinear Operators	1979	Pierre‐Louis Lions Bertrand Mercier	2
+ PDF Chat	Alternating direction method of multipliers for strictly convex quadratic programs: Optimal parameter selection	2014	Arvind U. Raghunathan Stefano Di Cairano	2
+	Fully Proximal Splitting Algorithms In Image Recovery	2019	Patrick L. Combettes Lilian E. Glaudin	1
+ PDF Chat	Proximal Activation of Smooth Functions in Splitting Algorithms for Convex Image Recovery	2019	Patrick L. Combettes Lilian E. Glaudin	1
+	Estimation of error variance via ridge regression	2019	Xin Liu Shubin Zheng Xingdong Feng	1
+	Fixed-Point Algorithms for Inverse Problems in Science and Engineering	2011	Patrick L. Combettes Jean‐Christophe Pesquet	1
+ PDF Chat	On the performance of mismatched data detection in large MIMO systems	2016	Charles Jeon Arian Maleki Christoph Studer	1
+ PDF Chat	Optimal Parameter Selection for the Alternating Direction Method of Multipliers (ADMM): Quadratic Problems	2014	Euhanna Ghadimi André Teixeira Iman Shames Mikael Johansson	1
+ PDF Chat	Symbol Detection for Faster-Than-Nyquist Signaling by Sum-of-Absolute-Values Optimization	2016	Hampei Sasahara Kazunori Hayashi Masaaki Nagahara	1
+ PDF Chat	Recovery of Binary Sparse Signals From Compressed Linear Measurements via Polynomial Optimization	2019	Sophie M. Fosson Mohammad Abuabiah	1
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	1