The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement. The goal is ...

Understanding the kinetics of radical polymerization, especially under commercial high-temperature semibatch starved feed conditions, is a challenging task. This complexity is particularly pronounced ...

Abstract: This letter addresses the finite-time parameter estimation problem for separable nonlinearly parameterized regression equations (NLPREs). The nonlinear vector function of unknown parameters ...

Here's the thing, I'm learning triton, And I used FlagGems's matmul to generate an kernel. But during the run, I found that he would lose some of the parameters in the middle, for ...

Abstract: Kalman filtering is an optimal estimation method based on minimum variance estimation, which is suitable for linear systems, and in actual operation, vehicle power batteries have strong ...

ABSTRACT: This paper aims to study the GARCH-X model based on high-frequency data. Building upon the existing research on the selection criteria for optimal volatility representation and parameter ...

ABSTRACT: The Beta Distribution is widely used in engineering and industrial applications. Goodness-of-fit procedures are revisited. Shapiro-Francia statistic is implemented in Beta distribution. A ...

And this is not a problem. If the documentation would describe the interaction of this parameter, when used in both sections at the same time. And the correct answer is: volume_encumber_modifier from ...