Yusuke Sakemi - RankMe

18 papers B 2C 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Chaos-based reinforcement learning with TD3. Neural Networks Toshitaka Matsuki, Yusuke Sakemi, Kazuyuki Aihara
2026	J	`jnl`	Harnessing Nonidealities in Analog In-Memory Computing Circuits: A Physical Modeling Approach for Neuromorphic Systems. Adv. Intell. Syst. Yusuke Sakemi, Yuji Okamoto, Takashi Morie, Sou Nobukawa, Takeo Hosomi, Kazuyuki Aihara
2025	J	`jnl`	Enhancing Time-Series Anomaly Detection by Integrating Spectral-Residual Bottom-Up Attention with Reservoir Computing. CoRR Hayato Nihei, Sou Nobukawa, Yusuke Sakemi, Kazuyuki Aihara
2025	J	`jnl`	Learning the Simplest Neural ODE. CoRR Yuji Okamoto, Tomoya Takeuchi, Yusuke Sakemi
2024	B	`conf`	Can Timing-Based Backpropagation Overcome Single-Spike Restrictions in Spiking Neural Networks? IJCNN Kakei Yamamoto, Yusuke Sakemi, Kazuyuki Aihara
2024	J	`jnl`	Chaos-based reinforcement learning with TD3. CoRR Toshitaka Matsuki, Yusuke Sakemi, Kazuyuki Aihara
2024	—	`conf`	Revealing Functions of Extra-Large Excitatory Postsynaptic Potentials: Insights from Dynamical Characteristics of Reservoir Computing with Spiking Neural Networks. ICANN (4) Asato Fujimoto, Sou Nobukawa, Yusuke Sakemi, Yoshiho Ikeuchi, Kazuyuki Aihara
2024	J	`jnl`	Training Physical Neural Networks for Analog In-Memory Computing. CoRR Yusuke Sakemi, Yuji Okamoto, Takashi Morie, Sou Nobukawa, Takeo Hosomi, Kazuyuki Aihara
2023	J	`jnl`	A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design. IEEE Trans. Neural Networks Learn. Syst. Yusuke Sakemi, Kai Morino, Takashi Morie, Kazuyuki Aihara
2023	J	`jnl`	Learning Reservoir Dynamics with Temporal Self-Modulation. CoRR Yusuke Sakemi, Sou Nobukawa, Toshitaka Matsuki, Takashi Morie, Kazuyuki Aihara
2023	B	`conf`	Optimal Excitatory and Inhibitory Balance for High Learning Performance in Spiking Neural Networks with Long-Tailed Synaptic Weight Distributions. IJCNN Ibuki Matsumoto, Sou Nobukawa, Tomoki Kurikawa, Nobuhiko Wagatsuma, Yusuke Sakemi, Takashi Kanamaru, Nina Sviridova, Kazuyuki Aihara
2023	J	`jnl`	Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding. CoRR Yusuke Sakemi, Kakei Yamamoto, Takeo Hosomi, Kazuyuki Aihara
2022	C	`conf`	A Spiking Neural Network with Resistively Coupled Synapses Using Time-to-First-Spike Coding Towards Efficient Charge-Domain Computing. ISCAS Yusuke Sakemi, Kai Morino, Takashi Morie, Takeo Hosomi, Kazuyuki Aihara
2022	J	`jnl`	Robustness of Spiking Neural Networks Based on Time-to-First-Spike Encoding Against Adversarial Attacks. IEEE Trans. Circuits Syst. II Express Briefs Osamu Nomura, Yusuke Sakemi, Takeo Hosomi, Takashi Morie
2022	J	`jnl`	Timing-Based Backpropagation in Spiking Neural Networks Without Single-Spike Restrictions. CoRR Kakei Yamamoto, Yusuke Sakemi, Kazuyuki Aihara
2021	J	`jnl`	Effects of VLSI Circuit Constraints on Temporal-Coding Multilayer Spiking Neural Networks. CoRR Yusuke Sakemi, Takashi Morie, Takeo Hosomi, Kazuyuki Aihara
2020	J	`jnl`	A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design. CoRR Yusuke Sakemi, Kai Morino, Takashi Morie, Kazuyuki Aihara
2020	J	`jnl`	Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time. CoRR Yusuke Sakemi, Kai Morino, Timothée G. Leleu, Kazuyuki Aihara