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Feb 19, 2023 · This work introduces a method that infers models from data with physical insights encoded in the form of structure and that minimizes the model ...
This work introduces a method that infers models from data with physical insights encoded in the form of structure and that minimizes the model order so that ...
Rank-minimizing and structured model inference (RSMI). We now introduce rank-minimizing and structured model inference (RSMI) to find a structured low-order ...
Feb 19, 2023 · Abstract: While extracting information from data with machine learning plays an increasingly important role, physical laws and other first ...
May 30, 2024 · Abstract. While extracting information from data with machine learning plays an increasingly important role, physical laws and other first ...
A method that infers models from data with physical insights encoded in the form of structure and that minimizes the model order so that the training data ...
This work introduces a method that infers models from data with physical insights encoded in the form of structure and that minimizes the model order so that ...
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Jun 10, 2024 · This work demonstrates a simple approach to reduce the computational and memory complexity of a large class of structured models. We show that ...
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Mar 8, 2024 · In model inference, rank minimization is employed to eliminate redundant degrees of freedom and obtain accurate models with fewer parameters 2.