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Found 3 papers, 1 papers with code
Neuro-physical dynamic load modeling using differentiable parametric optimization
In this work, we investigate a data-driven approach for obtaining a reduced equivalent load model of distribution systems for electromechanical transient stability analysis.
Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forecasting
Accurately predicting sea-surface temperature weeks to months into the future is an important step toward long term weather forecasting.
BIG-bench Machine Learning
Physics-informed machine learning
+1
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers
First, the success rate of backdoor poisoning attacks varies widely, depending on several factors, including model architecture, trigger pattern and regularization technique.
