3 citations · 5 across the 5 of their papers we have counts for
7 papers
Parallel bandit architecture based on laser chaos for reinforcement learning
Takashi Urushibara, Nicolas Chauvet, Satoshi Kochi +5
Accelerating artificial intelligence by photonics is an active field of study aiming to exploit the unique properties of photons. Reinforcement learning is an important branch of m…
Efficient Pairing in Unknown Environments: Minimal Observations and TSP-based Optimization
Naoki Fujita, Nicolas Chauvet, Andre Roehm +4
Generating paired sequences with maximal compatibility from a given set is one of the most important challenges in various applications, including information and communication tec…
Conflict-free collective stochastic decision making by orbital angular momentum of photons through quantum interference
Takashi Amakasu, Nicolas Chauvet, Guillaume Bachelier +3
In recent cross-disciplinary studies involving both optics and computing, single-photon-based decision-making has been demonstrated by utilizing the wave-particle duality of light…
Single-shot non-invasive three-dimensional imaging through scattering media
Ryoichi Horisaki, Yuka Okamoto, Jun Tanida
We present a method for single-shot three-dimensional imaging through scattering media with a three-dimensional memory effect. In the proposed computational process, a captured spe…
Imaging cytometry without image reconstruction (ghost cytometry)
Sadao Ota, Ryoichi Horisaki, Yoko Kawamura +2
Imaging and analysis of many single cells hold great potential in our understanding of heterogeneous and complex life systems and in enabling biomedical applications. We here intro…
Use of Ghost Cytometry to Differentiate Cells with Similar Gross Morphologic Characteristics
Hiroaki Adachi, Yoko Kawamura, Keiji Nakagawa +7
Imaging flow cytometry shows significant potential for increasing our understanding of heterogeneous and complex life systems and is useful for biomedical applications. Ghost cytom…