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Preprint Aug 2026

Recovering Nonlinear Functions of Latent Variables: A Plausible-Value Neural Network Framework

When factor scores replace true latent scores in nonlinear prediction, measurement error attenuates the recoverable variance of any $k$th-order component of the regression function by $\rho^k$ -- the $k$th power of the score's coefficient of determination -- for any linear score type. This study derives the bound via H...

E. Song, Sehee Hong Department of Education, Korea University et al. · 0 citations
Preprint Sep 2026

A memory-information window in finite-duration quantum control

Environmental noise is a major source of decoherence and errors in quantum systems. In a non-Markovian environment, the noise has a finite correlation time, and the system can retain information about its previous interactions with the environment. Here, we investigate how such environmental memory can be observed thro...

Doyeol Ahn Department of Electrical, Computer Engineering, University of Seoul et al. · 0 citations
Preprint Sep 2026

PEAT: Pseudo-Error Assessment for GPU Kernel Validation in DNN Training

The applicability of PEAT is demonstrated by presenting the results and analysis using GPUs from the two most popular vendors, NVIDIA V100 and AMD MI250, on various AI models, from vision tasks to language models, for both pretraining and finetuning scenarios.

Xuan Truong Nguyen Department of Next Generation Semico Convergence, Open Sharing System, Seoul National University et al. · 0 citations

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