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André Röhm
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2020 – today
- 2024
- [i16]Shun Kotoku, Takatomo Mihana, André Röhm, Ryoichi Horisaki:
Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network. CoRR abs/2407.09124 (2024) - 2023
- [j9]Hiroaki Shinkawa, Nicolas Chauvet, Guillaume Bachelier, André Röhm, Ryoichi Horisaki, Makoto Naruse:
Optimal Preference Satisfaction for Conflict-Free Joint Decisions. Complex. 2023: 2794839:1-2794839:19 (2023) - [j8]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): 146 (2023) - [j7]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): 843 (2023) - [j6]Takuya Okuyama, André Röhm, Takatomo Mihana, Makoto Naruse:
Acceleration of Approximate Matrix Multiplications on GPUs. Entropy 25(8): 1130 (2023) - [i15]Kohei Tsuchiyama, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Makoto Naruse:
Effect of temporal resolution on the reproduction of chaotic dynamics via reservoir computing. CoRR abs/2302.10761 (2023) - [i14]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 abs/2304.10118 (2023) - [i13]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 abs/2305.02117 (2023) - [i12]Shun Kotoku, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse:
Asymmetric leader-laggard cluster synchronization for collective decision-making with laser network. CoRR abs/2312.02537 (2023) - 2022
- [j5]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: 57630-57640 (2022) - [j4]Tomoki Yamagami, Etsuo Segawa, Nicolas Chauvet, André Röhm, Ryoichi Horisaki, Makoto Naruse:
Directivity of Quantum Walk via Its Random Walk Replica. Complex. 2022: 9021583:1-9021583:14 (2022) - [j3]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): 2714-2725 (2022) - [i11]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 abs/2203.12214 (2022) - [i10]Hiroaki Shinkawa, Nicolas Chauvet, Guillaume Bachelier, André Röhm, Ryoichi Horisaki, Makoto Naruse:
Optimal preference satisfaction for conflict-free joint decisions. CoRR abs/2205.00799 (2022) - [i9]Daniel J. Gauthier, Ingo Fischer, André Röhm:
Learning unseen coexisting attractors. CoRR abs/2207.14133 (2022) - [i8]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 abs/2208.03082 (2022) - [i7]Tomoki Yamagami, Etsuo Segawa, Ken'ichiro Tanaka, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse:
Skeleton structure inherent in discrete-time quantum walks. CoRR abs/2209.02943 (2022) - [i6]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 abs/2211.01661 (2022) - [i5]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 abs/2212.09926 (2022) - 2021
- [i4]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 abs/2108.04074 (2021) - 2020
- [j2]Florian Stelzer, André Röhm, Kathy Lüdge, Serhiy Yanchuk:
Performance boost of time-delay reservoir computing by non-resonant clock cycle. Neural Networks 124: 158-169 (2020) - [i3]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 abs/2011.10115 (2020)
2010 – 2019
- 2019
- [j1]Kathy Lüdge, André Röhm:
Computing with a camera. Nat. Mach. Intell. 1(12): 551-552 (2019) - [i2]Florian Stelzer, André Röhm, Kathy Lüdge, Serhiy Yanchuk:
Performance boost of time-delay reservoir computing by non-resonant clock cycle. CoRR abs/1905.02534 (2019) - 2018
- [i1]André Röhm, Kathy Lüdge:
Reservoir computing with simple oscillators: Virtual and real networks. CoRR abs/1802.08590 (2018)
Coauthor Index
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