André Röhm

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Reinforcement Learning

Algebraic Structure

Reservoir Computing

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Shun Kotoku, Takatomo Mihana, André Röhm, Ryoichi Horisaki
Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network. CoRR (2024)
Honoka Shiratori, Hiroaki Shinkawa, André Röhm, Nicolas Chauvet, Etsuo Segawa, Jonathan Laurent, Guillaume Bachelier, Tomoki Yamagami, Ryoichi Horisaki, Makoto Naruse
Asymmetric quantum decision-making. CoRR (2023)
Takuya Okuyama, André Röhm, Takatomo Mihana, Makoto Naruse
Acceleration of Approximate Matrix Multiplications on GPUs. Entropy 25 (8) (2023)
Kohei Tsuchiyama, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Makoto Naruse
Effect of temporal resolution on the reproduction of chaotic dynamics via reservoir computing. CoRR (2023)
Naoki Fujita, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Aohan Li, Mikio Hasegawa, Makoto Naruse
Pairing Optimization via Statistics: Algebraic Structure in Pairing Problems and Its Application to Performance Enhancement. Entropy 25 (1) (2023)
Tomoki Yamagami, Etsuo Segawa, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse
Bandit Algorithm Driven by a Classical Random Walk and a Quantum Walk. CoRR (2023)
Tomoki Yamagami, Etsuo Segawa, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse
Bandit Algorithm Driven by a Classical Random Walk and a Quantum Walk. Entropy 25 (6) (2023)
Hiroaki Shinkawa, Nicolas Chauvet, Guillaume Bachelier, André Röhm, Ryoichi Horisaki, Makoto Naruse
Optimal Preference Satisfaction for Conflict-Free Joint Decisions. Complex. 2023 (2023)
Shun Kotoku, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse
Asymmetric leader-laggard cluster synchronization for collective decision-making with laser network. CoRR (2023)
Benedikt Vettelschoss, André Röhm, Miguel C. Soriano
Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Naoki Fujita, Nicolas Chauvet, André Röhm, Ryoichi Horisaki, Aohan Li, Mikio Hasegawa, Makoto Naruse
Efficient Pairing in Unknown Environments: Minimal Observations and TSP-based Optimization. CoRR (2022)
Hiroaki Shinkawa, Nicolas Chauvet, Guillaume Bachelier, André Röhm, Ryoichi Horisaki, Makoto Naruse
Optimal preference satisfaction for conflict-free joint decisions. CoRR (2022)
Hiroaki Shinkawa, Nicolas Chauvet, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Guillaume Bachelier, Makoto Naruse
Bandit approach to conflict-free multi-agent Q-learning in view of photonic implementation. CoRR (2022)
Naoki Fujita, Nicolas Chauvet, André Röhm, Ryoichi Horisaki, Aohan Li, Mikio Hasegawa, Makoto Naruse
Efficient Pairing in Unknown Environments: Minimal Observations and TSP-Based Optimization. IEEE Access 10 (2022)
Tomoki Yamagami, Etsuo Segawa, Ken'ichiro Tanaka, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse
Skeleton structure inherent in discrete-time quantum walks. CoRR (2022)
Daniel J. Gauthier, Ingo Fischer, André Röhm
Learning unseen coexisting attractors. CoRR (2022)
Tomoki Yamagami, Etsuo Segawa, Nicolas Chauvet, André Röhm, Ryoichi Horisaki, Makoto Naruse
Directivity of Quantum Walk via Its Random Walk Replica. Complex. 2022 (2022)
Hiroaki Shinkawa, Nicolas Chauvet, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Guillaume Bachelier, Makoto Naruse
Conflict-free joint sampling for preference satisfaction through quantum interference. CoRR (2022)
Naoki Fujita, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Aohan Li, Mikio Hasegawa, Makoto Naruse
Pairing optimization via statistics: Algebraic structure in pairing problems and its application to performance enhancement. CoRR (2022)
André Röhm, Daniel J. Gauthier, Ingo Fischer
Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing. CoRR (2021)
Florian Stelzer, André Röhm, Raul Vicente, Ingo Fischer, Serhiy Yanchuk
Deep Learning with a Single Neuron: Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops. CoRR (2020)
Florian Stelzer, André Röhm, Kathy Lüdge, Serhiy Yanchuk
Performance boost of time-delay reservoir computing by non-resonant clock cycle. Neural Networks 124 (2020)
Kathy Lüdge, André Röhm
Computing with a camera. Nat. Mach. Intell. 1 (12) (2019)
Florian Stelzer, André Röhm, Kathy Lüdge, Serhiy Yanchuk
Performance boost of time-delay reservoir computing by non-resonant clock cycle. CoRR (2019)
André Röhm, Kathy Lüdge
Reservoir computing with simple oscillators: Virtual and real networks. CoRR (2018)