André Röhm

According to our database, André Röhm authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network.

Shun Kotoku, Takatomo Mihana, André Röhm, Ryoichi Horisaki

CoRR, 2024

2023

Acceleration of Approximate Matrix Multiplications on GPUs.

Takuya Okuyama, André Röhm, Takatomo Mihana, Makoto Naruse

Entropy, August, 2023

Bandit Algorithm Driven by a Classical Random Walk and a Quantum Walk.

Tomoki Yamagami, Etsuo Segawa, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse

Entropy, June, 2023

Pairing Optimization via Statistics: Algebraic Structure in Pairing Problems and Its Application to Performance Enhancement.

Naoki Fujita, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Aohan Li, Mikio Hasegawa, Makoto Naruse

Entropy, January, 2023

Asymmetric leader-laggard cluster synchronization for collective decision-making with laser network.

Shun Kotoku, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse

CoRR, 2023

Asymmetric quantum decision-making.

Honoka Shiratori, Hiroaki Shinkawa, André Röhm, Nicolas Chauvet, Etsuo Segawa, Jonathan Laurent, Guillaume Bachelier, Tomoki Yamagami, Ryoichi Horisaki, Makoto Naruse

CoRR, 2023

Effect of temporal resolution on the reproduction of chaotic dynamics via reservoir computing.

Kohei Tsuchiyama, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Makoto Naruse

CoRR, 2023

Optimal Preference Satisfaction for Conflict-Free Joint Decisions.

Hiroaki Shinkawa, Nicolas Chauvet, Guillaume Bachelier, André Röhm, Ryoichi Horisaki, Makoto Naruse

Complex., 2023

2022

Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation.

Benedikt Vettelschoss, André Röhm, Miguel C. Soriano

IEEE Trans. Neural Networks Learn. Syst., 2022

Bandit approach to conflict-free multi-agent Q-learning in view of photonic implementation.

Hiroaki Shinkawa, Nicolas Chauvet, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Guillaume Bachelier, Makoto Naruse

CoRR, 2022

Skeleton structure inherent in discrete-time quantum walks.

Tomoki Yamagami, Etsuo Segawa, Ken'ichiro Tanaka, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse

CoRR, 2022

Conflict-free joint sampling for preference satisfaction through quantum interference.

Hiroaki Shinkawa, Nicolas Chauvet, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Guillaume Bachelier, Makoto Naruse

CoRR, 2022

Learning unseen coexisting attractors.

Daniel J. Gauthier, Ingo Fischer, André Röhm

CoRR, 2022

Directivity of Quantum Walk via Its Random Walk Replica.

Tomoki Yamagami, Etsuo Segawa, Nicolas Chauvet, André Röhm, Ryoichi Horisaki, Makoto Naruse

Complex., 2022

Efficient Pairing in Unknown Environments: Minimal Observations and TSP-Based Optimization.

Naoki Fujita, Nicolas Chauvet, André Röhm, Ryoichi Horisaki, Aohan Li, Mikio Hasegawa, Makoto Naruse

IEEE Access, 2022

2021

Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing.

André Röhm, Daniel J. Gauthier, Ingo Fischer

CoRR, 2021

2020

Performance boost of time-delay reservoir computing by non-resonant clock cycle.

Florian Stelzer, André Röhm, Kathy Lüdge, Serhiy Yanchuk

Neural Networks, 2020

Deep Learning with a Single Neuron: Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops.

Florian Stelzer, André Röhm, Raul Vicente, Ingo Fischer, Serhiy Yanchuk

CoRR, 2020

2019

Computing with a camera.

Kathy Lüdge, André Röhm

Nat. Mach. Intell., 2019

2018

Reservoir computing with simple oscillators: Virtual and real networks.

André Röhm, Kathy Lüdge

CoRR, 2018