17 results on '"Eydenberg, Michael"'
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2. Perspectives on the integration between first-principles and data-driven modeling
3. Verification of Neural Network Surrogates
4. Resilience Enhancements through Deep Learning Yields.
5. AC-Optimal Power Flow Solutions with Security Constraints from Deep Neural Network Models
6. Optimization with Neural Network Feasibility Surrogates: Formulations and Application to Security-Constrained Optimal Power Flow
7. A Comparison of Spectral and Spatial Graph Convolutional Neural Network Kernels Using GraphSAGE-Sparse
8. Effects of Jacobian Matrix Regularization on the Detectability of Adversarial Samples
9. Structured Physics Informed Neural Networks for Surrogate Based Feasibility.
10. Deep Neural Networks as Surrogates for Intractable Constraints and Problem Dimension Reduction: SC ACOPF.
11. Physics-Informed Machine Learning with Optimization-Based Guarantees: Applications to Ac Power Flow
12. THE WEYL CORRESPONDENCE AS A FUNCTIONAL CALCULUS FOR NON-COMMUTING OPERATORS
13. Integration of Optimization and Machine Learning for Improving Electrical Grid Operation.
14. Physics-Informed Machine Learning Surrogates with Optimization-Based Guarantees: Applications to AC Power Flow.
15. The action of operator semigroups on the topological dual of the Beurling–Björck space
16. DISTRIBUTION-VALUED WEAK SOLUTIONS TO A PARABOLIC PROBLEM ARISING IN FINANCIAL MATHEMATICS.
17. Graph and Nonlocal Laplacians.
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