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H. Horii

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Preprint Oct 2026

Large deviations, gradient flows and fluctuating hydrodynamics for fractional diffusion

This work is a step towards a general understanding of fluctuations for systems of particles described at large scale by fractional diffusion. First, we derive formally a Large Deviation Principle for the empirical measure of mean-field interacting particles with a L{\'e}vy-type noise. In the case of independent partic...

Julien Barré, H. Horii · 0 citations
Aug 2026

Optimal Initialization Scale for Neural Networks With Locally Quadratic Loss Landscapes: An SGD Dynamics Perspective.

The results show that, for the simple network model, if the variance of the initialization distribution satisfies the theoretical optimal condition, then the corresponding network achieves lower final training loss and higher test accuracy than the conventional He-normal initialization.

H. Horii, S. Has · 0 citations
Jul 2026

Examining QRMI as a Unified Interface for Quantum-HPC Integration

This paper extends the validation of QRMI to a broad range of workload managers, including PBS, LSF, Grid Engine, Kubernetes, and the Flux Framework, encompassing traditional batch schedulers, a cloud-native orchestration platform, and a graph-based scheduler.

Thomas Badts, T. Boyle, Claudio Carvalho et al. · 4 citations

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