Satoshi Takabe

60 papers B 11C 1Misc 1Journal 44Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Unfolded Simulated Bifurcation for Massive MIMO Signal Detection. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Satoshi Takabe
2026	J	`jnl`	Refined Gradient-Based Temperature Optimization for the Replica-Exchange Monte-Carlo Method. CoRR Tatsuya Miyata, Shunta Arai, Satoshi Takabe
2025	J	`jnl`	Transfer Learning for Deep-Unfolded Combinatorial Optimization Solver with Quantum Annealer. CoRR Ryo Hagiwara, Shunta Arai, Satoshi Takabe
2024	J	`jnl`	Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding. IEEE Access Yuya Kawamura, Satoshi Takabe
2024	J	`jnl`	Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding. CoRR Yuya Kawamura, Satoshi Takabe
2024	J	`jnl`	Convergence Acceleration of Markov Chain Monte Carlo-based Gradient Descent by Deep Unfolding. CoRR Ryo Hagiwara, Satoshi Takabe
2024	J	`jnl`	Hubbard-Stratonovich Detector for Simple Trainable MIMO Signal Detection. IEEE Wirel. Commun. Lett. Satoshi Takabe, Takashi Abe
2023	J	`jnl`	Deep Unfolded Simulated Bifurcation for Massive MIMO Signal Detection. CoRR Satoshi Takabe
2023	J	`jnl`	Hubbard-Stratonovich Detector for Simple Trainable MIMO Signal Detection. CoRR Satoshi Takabe, Takashi Abe
2023	B	`conf`	Hypergraph Embedding Based on Random Walk with Adjusted Transition Probabilities. DaWaK Kazuya Nagasato, Satoshi Takabe, Kazuyuki Shudo
2023	J	`jnl`	Proximal Decoding for LDPC Codes. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Tadashi Wadayama, Satoshi Takabe
2022	B	`conf`	Asymptotic Mean Squared Error of Noisy Periodical Successive Over-Relaxation. ISIT Tadashi Wadayama, Satoshi Takabe
2022	J	`jnl`	Convergence Acceleration via Chebyshev Step: Plausible Interpretation of Deep-Unfolded Gradient Descent. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Satoshi Takabe, Tadashi Wadayama
2021	J	`jnl`	Chebyshev Periodical Successive Over-Relaxation for Accelerating Fixed-Point Iterations. IEEE Signal Process. Lett. Tadashi Wadayama, Satoshi Takabe
2021	J	`jnl`	Deep-Unfolded Sparse CDMA: Multiuser Detector and Sparse Signature Design. IEEE Access Satoshi Takabe, Yuki Yamauchi, Tadashi Wadayama
2021	B	`conf`	MSE-Optimaized Linear Transform for Noisy Fronthaul Channels in Distributed MIMO C-RAN. GLOBECOM Tadashi Wadayama, Satoshi Takabe
2021	B	`conf`	Proximal Decoding for LDPC-coded Massive MIMO Channels. ISIT Tadashi Wadayama, Satoshi Takabe
2021	J	`jnl`	Proximal Decoding for LDPC-coded Massive MIMO Channels. CoRR Tadashi Wadayama, Satoshi Takabe
2021	B	`conf`	Refined Density Evolution Analysis of LDPC Codes for Successive Interference Cancellation. GLOBECOM Satoshi Takabe, Tadashi Wadayama, Masahito Hayashi
2020	J	`jnl`	Acceleration of Cooperative Least Mean Square via Chebyshev Periodical Successive Over-Relaxation. CoRR Tadashi Wadayama, Satoshi Takabe
2020	J	`jnl`	Asymptotic Behavior of Spatial Coupling LDPC Coding for Compute-and-Forward Two-Way Relaying. IEEE Trans. Commun. Satoshi Takabe, Tadashi Wadayama, Masahito Hayashi
2020	J	`jnl`	Chebyshev Inertial Iteration for Accelerating Fixed-Point Iterations. CoRR Tadashi Wadayama, Satoshi Takabe
2020	J	`jnl`	Chebyshev Inertial Landweber Algorithm for Linear Inverse Problems. CoRR Tadashi Wadayama, Satoshi Takabe
2020	Misc	`conf`	Complex Trainable Ista for Linear and Nonlinear Inverse Problems. ICASSP Satoshi Takabe, Tadashi Wadayama, Yonina C. Eldar
2020	J	`jnl`	Convergence Acceleration via Chebyshev Step: Plausible Interpretation of Deep-Unfolded Gradient Descent. CoRR Satoshi Takabe, Tadashi Wadayama
2020	B	`conf`	Deep Unfolded Multicast Beamforming. GLOBECOM Satoshi Takabe, Tadashi Wadayama
2020	J	`jnl`	Deep Unfolded Multicast Beamforming. CoRR Satoshi Takabe, Tadashi Wadayama
2020	J	`jnl`	Theoretical Interpretation of Learned Step Size in Deep-Unfolded Gradient Descent. CoRR Satoshi Takabe, Tadashi Wadayama
2020	—	`conf`	Trainable Projected Gradient Detector for Sparsely Spread Code Division Multiple Access. ICC Workshops Satoshi Takabe, Yuki Yamauchi, Tadashi Wadayama
2019	J	`jnl`	Approximation Theory for Connectivity of Ad Hoc Wireless Networks With Node Faults. IEEE Wirel. Commun. Lett. Satoshi Takabe, Tadashi Wadayama
2019	B	`conf`	Asymptotic Analysis on LDPC-BICM Scheme for Compute-and-Forward Relaying. ISIT Satoshi Takabe, Tadashi Wadayama, Masahito Hayashi
2019	J	`jnl`	Asymptotic Analysis on LDPC-BICM Scheme for Compute-and-Forward Relaying. CoRR Satoshi Takabe, Tadashi Wadayama, Masahito Hayashi
2019	J	`jnl`	Complex Field-Trainable ISTA for Linear and Nonlinear Inverse Problems. CoRR Satoshi Takabe, Tadashi Wadayama
2019	J	`jnl`	Compute-and-forward relaying with LDPC codes over QPSK scheme. CoRR Satoshi Takabe, Tadashi Wadayama, Ángeles Vázquez-Castro, Masahito Hayashi
2019	—	`conf`	Deep Learning-Aided Projected Gradient Detector for Massive Overloaded MIMO Channels. ICC Satoshi Takabe, Masayuki Imanishi, Tadashi Wadayama, Kazunori Hayashi
2019	B	`conf`	Deep Learning-Aided Trainable Projected Gradient Decoding for LDPC Codes. ISIT Tadashi Wadayama, Satoshi Takabe
2019	J	`jnl`	Deep Learning-Aided Trainable Projected Gradient Decoding for LDPC Codes. CoRR Tadashi Wadayama, Satoshi Takabe
2019	J	`jnl`	Trainable ISTA for Sparse Signal Recovery. IEEE Trans. Signal Process. Daisuke Ito, Satoshi Takabe, Tadashi Wadayama
2019	J	`jnl`	Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-Driven Tuning Approach. IEEE Access Satoshi Takabe, Masayuki Imanishi, Tadashi Wadayama, Ryo Hayakawa, Kazunori Hayashi
2019	J	`jnl`	Trainable Projected Gradient Detector for Sparsely Spread Code Division Multiple Access. CoRR Satoshi Takabe, Yuki Yamauchi, Tadashi Wadayama
2018	J	`jnl`	Asymptotic Analysis of Spatial Coupling Coding for Compute-and-Forward Relaying. CoRR Satoshi Takabe, Tadashi Wadayama, Masahito Hayashi
2018	B	`conf`	Asymptotic Analysis on Spatial Coupling Coding for Two-Way Relay Channels. ISIT Satoshi Takabe, Yuta Ishimatsu, Tadashi Wadayama, Masahito Hayashi
2018	J	`jnl`	Asymptotic Analysis on Spatial Coupling Coding for Two-Way Relay Channels. CoRR Satoshi Takabe, Yuta Ishimatsu, Tadashi Wadayama, Masahito Hayashi
2018	B	`conf`	Connectivity of Ad Hoc Wireless Networks with Node Faults. GLOBECOM Satoshi Takabe, Tadashi Wadayama
2018	J	`jnl`	Connectivity of Ad Hoc Wireless Networks with Node Faults. CoRR Satoshi Takabe, Tadashi Wadayama
2018	J	`jnl`	Deep Learning-Aided Iterative Detector for Massive Overloaded MIMO Channels. CoRR Masayuki Imanishi, Satoshi Takabe, Tadashi Wadayama
2018	J	`jnl`	Joint Quantizer Optimization based on Neural Quantizer for Sum-Product Decoder. CoRR Tadashi Wadayama, Satoshi Takabe
2018	J	`jnl`	Large-deviation Properties of Linear-programming Computational Hardness of the Vertex Cover Problem. CoRR Satoshi Takabe, Koji Hukushima, Alexander K. Hartmann
2018	B	`conf`	Quantizer Optimization Based on Neural Quantizerfor Sum-Product Decoder. GLOBECOM Tadashi Wadayama, Satoshi Takabe
2018	—	`conf`	Trainable ISTA for Sparse Signal Recovery. ICC Workshops Daisuke Ito, Satoshi Takabe, Tadashi Wadayama
2018	J	`jnl`	Trainable ISTA for Sparse Signal Recovery. CoRR Daisuke Ito, Satoshi Takabe, Tadashi Wadayama
2018	J	`jnl`	Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach. CoRR Satoshi Takabe, Masayuki Imanishi, Tadashi Wadayama, Kazunori Hayashi
2018	C	`conf`	k-connectivity of Random Graphs and Random Geometric Graphs in Node Fault Model. ISITA Satoshi Takabe, Tadashi Wadayama
2018	J	`jnl`	k-connectivity of Random Graphs and Random Geometric Graphs in Node Fault Model. CoRR Satoshi Takabe, Tadashi Wadayama
2017	J	`jnl`	An exact algorithm exhibiting RS-RSB/easy-hard correspondence for the maximum independent set problem. CoRR Jun Takahashi, Satoshi Takabe, Koji Hukushima
2017	J	`jnl`	Fault Tolerance of Random Graphs with respect to Connectivity: Phase Transition in Logarithmic Average Degree. CoRR Satoshi Takabe, Takafumi Nakano, Tadashi Wadayama
2017	J	`jnl`	Typical Approximation Performance for Maximum Coverage Problem. CoRR Satoshi Takabe, Takanori Maehara, Koji Hukushima
2016	J	`jnl`	Statistical-mechanical Analysis of Linear Programming Relaxation for Combinatorial Optimization Problems. CoRR Satoshi Takabe, Koji Hukushima
2016	J	`jnl`	Typical Performance of Approximation Algorithms for NP-hard Problems. CoRR Satoshi Takabe, Koji Hukushima
2013	J	`jnl`	Typical behavior of the linear programming method for combinatorial optimization problems: From a statistical-mechanical perspective. CoRR Satoshi Takabe, Koji Hukushima