Typical behavior of the linear programming method for combinatorial optimization problems: From a statistical-mechanical perspective. - Satoshi Takabe; Koji Hukushima (CoRR, 2013)

Statistical-mechanical Analysis of Linear Programming Relaxation for Combinatorial Optimization Problems. - Satoshi Takabe; Koji Hukushima (CoRR, 2016)

Typical Performance of Approximation Algorithms for NP-hard Problems. - Satoshi Takabe; Koji Hukushima (CoRR, 2016)

Typical Approximation Performance for Maximum Coverage Problem. - Satoshi Takabe; Takanori Maehara; Koji Hukushima (CoRR, 2017)

An exact algorithm exhibiting RS-RSB/easy-hard correspondence for the maximum independent set problem. - Jun Takahashi; Satoshi Takabe; Koji Hukushima (CoRR, 2017)

Fault Tolerance of Random Graphs with respect to Connectivity: Phase Transition in Logarithmic Average Degree. - Satoshi Takabe; Takafumi Nakano; Tadashi Wadayama (CoRR, 2017)

Connectivity of Ad Hoc Wireless Networks with Node Faults. - Satoshi Takabe; Tadashi Wadayama (GLOBECOM, 2018)

Quantizer Optimization Based on Neural Quantizerfor Sum-Product Decoder. - Tadashi Wadayama; Satoshi Takabe (GLOBECOM, 2018)

Asymptotic Analysis on Spatial Coupling Coding for Two-Way Relay Channels. - Satoshi Takabe; Yuta Ishimatsu; Tadashi Wadayama; Masahito Hayashi (ISIT, 2018)

k-connectivity of Random Graphs and Random Geometric Graphs in Node Fault Model. - Satoshi Takabe; Tadashi Wadayama (ISITA, 2018)

Large-deviation Properties of Linear-programming Computational Hardness of the Vertex Cover Problem. - Satoshi Takabe; Koji Hukushima; Alexander K. Hartmann (CoRR, 2018)

Joint Quantizer Optimization based on Neural Quantizer for Sum-Product Decoder. - Tadashi Wadayama; Satoshi Takabe (CoRR, 2018)

Deep Learning-Aided Iterative Detector for Massive Overloaded MIMO Channels. - Masayuki Imanishi; Satoshi Takabe; Tadashi Wadayama (CoRR, 2018)

Asymptotic Analysis of Spatial Coupling Coding for Compute-and-Forward Relaying. - Satoshi Takabe; Tadashi Wadayama; Masahito Hayashi (CoRR, 2018)

Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach. - Satoshi Takabe; Masayuki Imanishi; Tadashi Wadayama; Kazunori Hayashi (CoRR, 2018)

Deep Learning-Aided Projected Gradient Detector for Massive Overloaded MIMO Channels. - Satoshi Takabe; Masayuki Imanishi; Tadashi Wadayama; Kazunori Hayashi (ICC, 2019)

Asymptotic Analysis on LDPC-BICM Scheme for Compute-and-Forward Relaying. - Satoshi Takabe; Tadashi Wadayama; Masahito Hayashi (ISIT, 2019)

Deep Learning-Aided Trainable Projected Gradient Decoding for LDPC Codes. - Tadashi Wadayama; Satoshi Takabe (ISIT, 2019)

Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-Driven Tuning Approach. - Satoshi Takabe; Masayuki Imanishi; Tadashi Wadayama; Ryo Hayakawa; Kazunori Hayashi (IEEE Access, 2019)

Complex Field-Trainable ISTA for Linear and Nonlinear Inverse Problems. - Satoshi Takabe; Tadashi Wadayama (CoRR, 2019)

Compute-and-forward relaying with LDPC codes over QPSK scheme. - Satoshi Takabe; Tadashi Wadayama; Ángeles Vázquez-Castro; Masahito Hayashi (CoRR, 2019)

Trainable ISTA for Sparse Signal Recovery. - Daisuke Ito; Satoshi Takabe; Tadashi Wadayama (IEEE Trans. Signal Process., 2019)

Approximation Theory for Connectivity of Ad Hoc Wireless Networks With Node Faults. - Satoshi Takabe; Tadashi Wadayama (IEEE Wirel. Commun. Lett., 2019)

Deep Unfolded Multicast Beamforming. - Satoshi Takabe; Tadashi Wadayama (GLOBECOM, 2020)

Complex Trainable Ista for Linear and Nonlinear Inverse Problems. - Satoshi Takabe; Tadashi Wadayama; Yonina C. Eldar (ICASSP, 2020)

Trainable Projected Gradient Detector for Sparsely Spread Code Division Multiple Access. - Satoshi Takabe; Yuki Yamauchi; Tadashi Wadayama (ICC Workshops, 2020)

Chebyshev Inertial Iteration for Accelerating Fixed-Point Iterations. - Tadashi Wadayama; Satoshi Takabe (CoRR, 2020)

Theoretical Interpretation of Learned Step Size in Deep-Unfolded Gradient Descent. - Satoshi Takabe; Tadashi Wadayama (CoRR, 2020)

Chebyshev Inertial Landweber Algorithm for Linear Inverse Problems. - Tadashi Wadayama; Satoshi Takabe (CoRR, 2020)

Acceleration of Cooperative Least Mean Square via Chebyshev Periodical Successive Over-Relaxation. - Tadashi Wadayama; Satoshi Takabe (CoRR, 2020)

Asymptotic Behavior of Spatial Coupling LDPC Coding for Compute-and-Forward Two-Way Relaying. - Satoshi Takabe; Tadashi Wadayama; Masahito Hayashi (IEEE Trans. Commun., 2020)

Refined Density Evolution Analysis of LDPC Codes for Successive Interference Cancellation. - Satoshi Takabe; Tadashi Wadayama; Masahito Hayashi (GLOBECOM, 2021)

MSE-Optimaized Linear Transform for Noisy Fronthaul Channels in Distributed MIMO C-RAN. - Tadashi Wadayama; Satoshi Takabe (GLOBECOM, 2021)

Proximal Decoding for LDPC-coded Massive MIMO Channels. - Tadashi Wadayama; Satoshi Takabe (ISIT, 2021)

Deep-Unfolded Sparse CDMA: Multiuser Detector and Sparse Signature Design. - Satoshi Takabe; Yuki Yamauchi; Tadashi Wadayama (IEEE Access, 2021)

Chebyshev Periodical Successive Over-Relaxation for Accelerating Fixed-Point Iterations. - Tadashi Wadayama; Satoshi Takabe (IEEE Signal Process. Lett., 2021)

Asymptotic Mean Squared Error of Noisy Periodical Successive Over-Relaxation. - Tadashi Wadayama; Satoshi Takabe (ISIT, 2022)

Convergence Acceleration via Chebyshev Step: Plausible Interpretation of Deep-Unfolded Gradient Descent. - Satoshi Takabe; Tadashi Wadayama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022)

Hypergraph Embedding Based on Random Walk with Adjusted Transition Probabilities. - Kazuya Nagasato; Satoshi Takabe; Kazuyuki Shudo (DaWaK, 2023)

Deep Unfolded Simulated Bifurcation for Massive MIMO Signal Detection. - Satoshi Takabe (CoRR, 2023)

Proximal Decoding for LDPC Codes. - Tadashi Wadayama; Satoshi Takabe (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2023)

Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding. - Yuya Kawamura; Satoshi Takabe (IEEE Access, 2024)

Convergence Acceleration of Markov Chain Monte Carlo-based Gradient Descent by Deep Unfolding. - Ryo Hagiwara; Satoshi Takabe (CoRR, 2024)

Hubbard-Stratonovich Detector for Simple Trainable MIMO Signal Detection. - Satoshi Takabe; Takashi Abe (IEEE Wirel. Commun. Lett., 2024)

Transfer Learning for Deep-Unfolded Combinatorial Optimization Solver with Quantum Annealer. - Ryo Hagiwara; Shunta Arai; Satoshi Takabe (CoRR, 2025)