Deep learning systems are not yet appropriate for addressing those problems. In business, much to the data scientist’s pleasure, so much of optimization is in finding an even narrower local ...

The method uses deep learning and pathwise forward–backward stochastic differential equations to solve boundary value problems ... The hedging profit and loss obtained by this method is naturally ...

The work has launched a race to blow up the fluid equations: on one side, the deep learning team; on the other, mathematicians who have been working with more established techniques for years.

Porous-DeepONet, a novel deep learning framework, efficiently solves parameterized PDEs in porous media by capturing complex features using convolutional neural networks. It significantly ...

Traditional adaptive optimization techniques often require careful tuning of problem-specific hyperparameters, especially the parameter β2, to ensure convergence, which can be challenging and ...

ELEC_ENG 395, 495: Optimization Techniques for Machine Learning and Deep Learning. This course is not currently offered. Prerequisites A thorough understanding of Linear Algebra and Vector Calculus, ...

Deep Learning Machine Solves the Cocktail Party Problem Separating a singer’s voice from background music has always been a uniquely human ability. Not anymore.