Satoshi Takabe

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 55

Top Topics

Asymptotic Analysis

Signal Recovery

Independent Set

Top Venues

IEEE Wirel. Commun. Lett.

Publications

Ryo Hagiwara, Satoshi Takabe
Convergence Acceleration of Markov Chain Monte Carlo-based Gradient Descent by Deep Unfolding. CoRR (2024)
Yuya Kawamura, Satoshi Takabe
Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding. CoRR (2024)
Satoshi Takabe, Takashi Abe
Hubbard-Stratonovich Detector for Simple Trainable MIMO Signal Detection. IEEE Wirel. Commun. Lett. 13 (3) (2024)
Satoshi Takabe, Takashi Abe
Hubbard-Stratonovich Detector for Simple Trainable MIMO Signal Detection. CoRR (2023)
Kazuya Nagasato, Satoshi Takabe, Kazuyuki Shudo
Hypergraph Embedding Based on Random Walk with Adjusted Transition Probabilities. DaWaK (2023)
Satoshi Takabe
Deep Unfolded Simulated Bifurcation for Massive MIMO Signal Detection. CoRR (2023)
Tadashi Wadayama, Satoshi Takabe
Proximal Decoding for LDPC Codes. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106 (3) (2023)
Satoshi Takabe, Tadashi Wadayama
Convergence Acceleration via Chebyshev Step: Plausible Interpretation of Deep-Unfolded Gradient Descent. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (8) (2022)
Tadashi Wadayama, Satoshi Takabe
Asymptotic Mean Squared Error of Noisy Periodical Successive Over-Relaxation. ISIT (2022)
Tadashi Wadayama, Satoshi Takabe
Proximal Decoding for LDPC-coded Massive MIMO Channels. ISIT (2021)
Tadashi Wadayama, Satoshi Takabe
Proximal Decoding for LDPC-coded Massive MIMO Channels. CoRR (2021)
Satoshi Takabe, Tadashi Wadayama, Masahito Hayashi
Refined Density Evolution Analysis of LDPC Codes for Successive Interference Cancellation. GLOBECOM (2021)
Tadashi Wadayama, Satoshi Takabe
MSE-Optimaized Linear Transform for Noisy Fronthaul Channels in Distributed MIMO C-RAN. GLOBECOM (2021)
Satoshi Takabe, Yuki Yamauchi, Tadashi Wadayama
Deep-Unfolded Sparse CDMA: Multiuser Detector and Sparse Signature Design. IEEE Access 9 (2021)
Tadashi Wadayama, Satoshi Takabe
Chebyshev Periodical Successive Over-Relaxation for Accelerating Fixed-Point Iterations. IEEE Signal Process. Lett. 28 (2021)
Satoshi Takabe, Tadashi Wadayama
Theoretical Interpretation of Learned Step Size in Deep-Unfolded Gradient Descent. CoRR (2020)
Tadashi Wadayama, Satoshi Takabe
Chebyshev Inertial Iteration for Accelerating Fixed-Point Iterations. CoRR (2020)
Tadashi Wadayama, Satoshi Takabe
Chebyshev Inertial Landweber Algorithm for Linear Inverse Problems. CoRR (2020)
Satoshi Takabe, Tadashi Wadayama
Convergence Acceleration via Chebyshev Step: Plausible Interpretation of Deep-Unfolded Gradient Descent. CoRR (2020)
Satoshi Takabe, Tadashi Wadayama, Masahito Hayashi
Asymptotic Behavior of Spatial Coupling LDPC Coding for Compute-and-Forward Two-Way Relaying. IEEE Trans. Commun. 68 (7) (2020)
Tadashi Wadayama, Satoshi Takabe
Acceleration of Cooperative Least Mean Square via Chebyshev Periodical Successive Over-Relaxation. CoRR (2020)
Satoshi Takabe, Tadashi Wadayama
Deep Unfolded Multicast Beamforming. GLOBECOM (2020)
Satoshi Takabe, Yuki Yamauchi, Tadashi Wadayama
Trainable Projected Gradient Detector for Sparsely Spread Code Division Multiple Access. ICC Workshops (2020)
Satoshi Takabe, Tadashi Wadayama, Yonina C. Eldar
Complex Trainable Ista for Linear and Nonlinear Inverse Problems. ICASSP (2020)
Satoshi Takabe, Tadashi Wadayama
Deep Unfolded Multicast Beamforming. CoRR (2020)
Satoshi Takabe, Masayuki Imanishi, Tadashi Wadayama, Kazunori Hayashi
Deep Learning-Aided Projected Gradient Detector for Massive Overloaded MIMO Channels. ICC (2019)
Satoshi Takabe, Tadashi Wadayama
Complex Field-Trainable ISTA for Linear and Nonlinear Inverse Problems. CoRR (2019)
Satoshi Takabe, Masayuki Imanishi, Tadashi Wadayama, Ryo Hayakawa, Kazunori Hayashi
Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-Driven Tuning Approach. IEEE Access 7 (2019)
Tadashi Wadayama, Satoshi Takabe
Deep Learning-Aided Trainable Projected Gradient Decoding for LDPC Codes. CoRR (2019)
Satoshi Takabe, Yuki Yamauchi, Tadashi Wadayama
Trainable Projected Gradient Detector for Sparsely Spread Code Division Multiple Access. CoRR (2019)
Satoshi Takabe, Tadashi Wadayama
Approximation Theory for Connectivity of Ad Hoc Wireless Networks With Node Faults. IEEE Wirel. Commun. Lett. 8 (4) (2019)
Tadashi Wadayama, Satoshi Takabe
Deep Learning-Aided Trainable Projected Gradient Decoding for LDPC Codes. ISIT (2019)
Satoshi Takabe, Tadashi Wadayama, Ángeles Vázquez-Castro, Masahito Hayashi
Compute-and-forward relaying with LDPC codes over QPSK scheme. CoRR (2019)
Satoshi Takabe, Tadashi Wadayama, Masahito Hayashi
Asymptotic Analysis on LDPC-BICM Scheme for Compute-and-Forward Relaying. CoRR (2019)
Satoshi Takabe, Tadashi Wadayama, Masahito Hayashi
Asymptotic Analysis on LDPC-BICM Scheme for Compute-and-Forward Relaying. ISIT (2019)
Daisuke Ito, Satoshi Takabe, Tadashi Wadayama
Trainable ISTA for Sparse Signal Recovery. IEEE Trans. Signal Process. 67 (12) (2019)
Daisuke Ito, Satoshi Takabe, Tadashi Wadayama
Trainable ISTA for Sparse Signal Recovery. ICC Workshops (2018)
Satoshi Takabe, Masayuki Imanishi, Tadashi Wadayama, Kazunori Hayashi
Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach. CoRR (2018)
Daisuke Ito, Satoshi Takabe, Tadashi Wadayama
Trainable ISTA for Sparse Signal Recovery. CoRR (2018)
Satoshi Takabe, Tadashi Wadayama
Connectivity of Ad Hoc Wireless Networks with Node Faults. GLOBECOM (2018)
Satoshi Takabe, Tadashi Wadayama
Connectivity of Ad Hoc Wireless Networks with Node Faults. CoRR (2018)
Satoshi Takabe, Yuta Ishimatsu, Tadashi Wadayama, Masahito Hayashi
Asymptotic Analysis on Spatial Coupling Coding for Two-Way Relay Channels. CoRR (2018)
Satoshi Takabe, Tadashi Wadayama
k-connectivity of Random Graphs and Random Geometric Graphs in Node Fault Model. ISITA (2018)
Masayuki Imanishi, Satoshi Takabe, Tadashi Wadayama
Deep Learning-Aided Iterative Detector for Massive Overloaded MIMO Channels. CoRR (2018)
Satoshi Takabe, Tadashi Wadayama
k-connectivity of Random Graphs and Random Geometric Graphs in Node Fault Model. CoRR (2018)
Satoshi Takabe, Tadashi Wadayama, Masahito Hayashi
Asymptotic Analysis of Spatial Coupling Coding for Compute-and-Forward Relaying. CoRR (2018)
Satoshi Takabe, Yuta Ishimatsu, Tadashi Wadayama, Masahito Hayashi
Asymptotic Analysis on Spatial Coupling Coding for Two-Way Relay Channels. ISIT (2018)
Tadashi Wadayama, Satoshi Takabe
Quantizer Optimization Based on Neural Quantizerfor Sum-Product Decoder. GLOBECOM (2018)
Satoshi Takabe, Koji Hukushima, Alexander K. Hartmann
Large-deviation Properties of Linear-programming Computational Hardness of the Vertex Cover Problem. CoRR (2018)
Tadashi Wadayama, Satoshi Takabe
Joint Quantizer Optimization based on Neural Quantizer for Sum-Product Decoder. CoRR (2018)
Jun Takahashi, Satoshi Takabe, Koji Hukushima
An exact algorithm exhibiting RS-RSB/easy-hard correspondence for the maximum independent set problem. CoRR (2017)
Satoshi Takabe, Takafumi Nakano, Tadashi Wadayama
Fault Tolerance of Random Graphs with respect to Connectivity: Phase Transition in Logarithmic Average Degree. CoRR (2017)
Satoshi Takabe, Takanori Maehara, Koji Hukushima
Typical Approximation Performance for Maximum Coverage Problem. CoRR (2017)
Satoshi Takabe, Koji Hukushima
Typical Performance of Approximation Algorithms for NP-hard Problems. CoRR (2016)
Satoshi Takabe, Koji Hukushima
Statistical-mechanical Analysis of Linear Programming Relaxation for Combinatorial Optimization Problems. CoRR (2016)
Satoshi Takabe, Koji Hukushima
Typical behavior of the linear programming method for combinatorial optimization problems: From a statistical-mechanical perspective. CoRR (2013)