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...
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· IEEE Transactions on Neural...· 0 citations
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.· arXiv.org· 4 citations
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