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小分子自编码器:架构工程,以优化潜在空间实用性和可持续性

Marie Oestreich1, Iva Ewert1, Matthias Becker2

  • 1Modular High-Performance Computing and Artificial Intelligence, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.

Journal of cheminformatics
|March 5, 2024
PubMed
概括

为小分子优化自编码器架构显著提高了潜伏空间质量,同时减少了97%的数据需求和36%的能源使用. 这项研究为化学的可持续深度学习提供了关键的见解.

关键词:
潜在空间优化潜伏空间优化分子自编码器 分子自编码器资源优化 资源优化可持续发展 可持续性 可持续性

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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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