16 results on '"Eydenberg, Michael"'
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2. Verification of Neural Network Surrogates
3. Resilience Enhancements through Deep Learning Yields.
4. AC-Optimal Power Flow Solutions with Security Constraints from Deep Neural Network Models
5. Optimization with Neural Network Feasibility Surrogates: Formulations and Application to Security-Constrained Optimal Power Flow
6. A Comparison of Spectral and Spatial Graph Convolutional Neural Network Kernels Using GraphSAGE-Sparse
7. Effects of Jacobian Matrix Regularization on the Detectability of Adversarial Samples
8. Structured Physics Informed Neural Networks for Surrogate Based Feasibility.
9. Perspectives on the integration between first-principles and data-driven modeling
10. Verification of Neural Network Surrogates.
11. Deep Neural Networks as Surrogates for Intractable Constraints and Problem Dimension Reduction: SC ACOPF.
12. Physics-Informed Machine Learning with Optimization-Based Guarantees: Applications to Ac Power Flow
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 Weyl Correspondence as a Functional Calculus for Non-Commuting Operators
16. The action of operator semigroups on the topological dual of the Beurling–Björck space
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