関連する実験動画

Updated: Jan 20, 2026

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

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VENI, VINDy, VICI：不確実性定量化を備えた生成縮小順序モデリングフレームワーク

Paolo Conti1, Jonas Kneifl2, Andrea Manzoni1

  • 1MOX - Department of Mathematics, Politecnico di Milano, Milan, Italy.

Neural networks : the official journal of the International Neural Network Society
|January 18, 2026
PubMed
まとめ

物理的に一貫した科学的予測を保証する生成モデルの新しいフレームワークを導入します。このアプローチは、データ駆動型メソッドと確率的モデリングを組み合わせて、正確で不確実性を考慮した縮小順序モデルを作成します。

キーワード:
データ駆動型メソッド生成AI非線形ダイナミクス縮小順序モデリングスパースシステム同定変分オートエンコーダー

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