We introduce a novel approach to automatically synthesize a mathematical...
AI and machine learning based approaches are becoming ubiquitous in almo...
Faults are stochastic by nature while most man-made systems, and especia...
We demonstrate an end-to-end framework to improve the resilience of man-...
We introduce two block coordinate descent algorithms for solving optimiz...
We propose a family of compactly supported parametric interaction functi...
To understand changes in physical systems and facilitate decisions,
expl...
Reduced-order models that accurately abstract high fidelity models and e...
We propose novel algorithms for design and design space exploration. The...
The work presented here applies deep learning to the task of automated
c...