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3 results for “Mixture of Experts”
Image classification via a quantum-inspired strategy involving a mixture of experts
A new arXiv preprint proposes a hybrid classical-quantum image classification framework using amplitude encoding, local unitary convolutions, and quantum stabilizer codes within a mixture-of-experts architecture, reporting ~2x lower failure rates on MNIST and Fashion-MNIST versus single-expert baselines.
Jul 10, 2026
FRAME: Learning the Adaptation Domain with a Mixture of Fractional-Fourier Experts
Researchers propose a new method for adapting neural networks to different tasks, called Fractional-Fourier Mixture of Experts.
Published Jul 2, 2026 · Analyzed Jul 5, 2026
Multi-scale Mixture of World Models for Embodied Agents in Evolving Environments
Researchers propose a new framework for embodied agents to adapt knowledge in changing environments.
Published Jul 2, 2026 · Analyzed Jul 5, 2026