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H. Horii

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Aug 2026

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

Stochastic gradient descent (SGD), one of the most fundamental optimization algorithms in machine learning (ML), can be recast through a continuous-time approximation as a Fokker-Planck equation for Langevin dynamics, a viewpoint that has motivated many theoretical studies. Within this framework, we study the relations...

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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