André Röhm - RankMe

28 papers Journal 28

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Blending Optimal Control and Biologically Plausible Learning for Noise-Robust Physical Neural Networks. CoRR Satoshi Sunada, Tomoaki Niiyama, Kazutaka Kanno, Rin Nogami, André Röhm, Takato Awano, Atsushi Uchida
2025	J	`jnl`	Quantum spatial best-arm identification via quantum walks. CoRR Tomoki Yamagami, Etsuo Segawa, Takatomo Mihana, André Röhm, Atsushi Uchida, Ryoichi Horisaki
2025	J	`jnl`	ReLaX-Net: Reusing Layers for Parameter-Efficient Physical Neural Networks. CoRR Kohei Tsuchiyama, André Röhm, Takatomo Mihana, Ryoichi Horisaki
2024	J	`jnl`	Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network. CoRR Shun Kotoku, Takatomo Mihana, André Röhm, Ryoichi Horisaki
2023	J	`jnl`	Acceleration of Approximate Matrix Multiplications on GPUs. Entropy Takuya Okuyama, André Röhm, Takatomo Mihana, Makoto Naruse
2023	J	`jnl`	Asymmetric leader-laggard cluster synchronization for collective decision-making with laser network. CoRR Shun Kotoku, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse
2023	J	`jnl`	Asymmetric quantum decision-making. CoRR Honoka Shiratori, Hiroaki Shinkawa, André Röhm, Nicolas Chauvet, Etsuo Segawa, Jonathan Laurent, Guillaume Bachelier, Tomoki Yamagami, Ryoichi Horisaki, Makoto Naruse
2023	J	`jnl`	Bandit Algorithm Driven by a Classical Random Walk and a Quantum Walk. CoRR Tomoki Yamagami, Etsuo Segawa, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse
2023	J	`jnl`	Bandit Algorithm Driven by a Classical Random Walk and a Quantum Walk. Entropy Tomoki Yamagami, Etsuo Segawa, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse
2023	J	`jnl`	Effect of temporal resolution on the reproduction of chaotic dynamics via reservoir computing. CoRR Kohei Tsuchiyama, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Makoto Naruse
2023	J	`jnl`	Optimal Preference Satisfaction for Conflict-Free Joint Decisions. Complex. Hiroaki Shinkawa, Nicolas Chauvet, Guillaume Bachelier, André Röhm, Ryoichi Horisaki, Makoto Naruse
2023	J	`jnl`	Pairing Optimization via Statistics: Algebraic Structure in Pairing Problems and Its Application to Performance Enhancement. Entropy Naoki Fujita, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Aohan Li, Mikio Hasegawa, Makoto Naruse
2022	J	`jnl`	Bandit approach to conflict-free multi-agent Q-learning in view of photonic implementation. CoRR Hiroaki Shinkawa, Nicolas Chauvet, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Guillaume Bachelier, Makoto Naruse
2022	J	`jnl`	Conflict-free joint sampling for preference satisfaction through quantum interference. CoRR Hiroaki Shinkawa, Nicolas Chauvet, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Guillaume Bachelier, Makoto Naruse
2022	J	`jnl`	Directivity of Quantum Walk via Its Random Walk Replica. Complex. Tomoki Yamagami, Etsuo Segawa, Nicolas Chauvet, André Röhm, Ryoichi Horisaki, Makoto Naruse
2022	J	`jnl`	Efficient Pairing in Unknown Environments: Minimal Observations and TSP-Based Optimization. IEEE Access Naoki Fujita, Nicolas Chauvet, André Röhm, Ryoichi Horisaki, Aohan Li, Mikio Hasegawa, Makoto Naruse
2022	J	`jnl`	Efficient Pairing in Unknown Environments: Minimal Observations and TSP-based Optimization. CoRR Naoki Fujita, Nicolas Chauvet, André Röhm, Ryoichi Horisaki, Aohan Li, Mikio Hasegawa, Makoto Naruse
2022	J	`jnl`	Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation. IEEE Trans. Neural Networks Learn. Syst. Benedikt Vettelschoss, André Röhm, Miguel C. Soriano
2022	J	`jnl`	Learning unseen coexisting attractors. CoRR Daniel J. Gauthier, Ingo Fischer, André Röhm
2022	J	`jnl`	Optimal preference satisfaction for conflict-free joint decisions. CoRR Hiroaki Shinkawa, Nicolas Chauvet, Guillaume Bachelier, André Röhm, Ryoichi Horisaki, Makoto Naruse
2022	J	`jnl`	Pairing optimization via statistics: Algebraic structure in pairing problems and its application to performance enhancement. CoRR Naoki Fujita, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Aohan Li, Mikio Hasegawa, Makoto Naruse
2022	J	`jnl`	Skeleton structure inherent in discrete-time quantum walks. CoRR Tomoki Yamagami, Etsuo Segawa, Ken'ichiro Tanaka, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse
2021	J	`jnl`	Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing. CoRR André Röhm, Daniel J. Gauthier, Ingo Fischer
2020	J	`jnl`	Deep Learning with a Single Neuron: Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops. CoRR Florian Stelzer, André Röhm, Raul Vicente, Ingo Fischer, Serhiy Yanchuk
2020	J	`jnl`	Performance boost of time-delay reservoir computing by non-resonant clock cycle. Neural Networks Florian Stelzer, André Röhm, Kathy Lüdge, Serhiy Yanchuk
2019	J	`jnl`	Computing with a camera. Nat. Mach. Intell. Kathy Lüdge, André Röhm
2019	J	`jnl`	Performance boost of time-delay reservoir computing by non-resonant clock cycle. CoRR Florian Stelzer, André Röhm, Kathy Lüdge, Serhiy Yanchuk
2018	J	`jnl`	Reservoir computing with simple oscillators: Virtual and real networks. CoRR André Röhm, Kathy Lüdge