Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism

2 code implementations • 7 Sep 2020 • Levi McClenny, Ulisses Braga-Neto

Physics-Informed Neural Networks (PINNs) have emerged recently as a promising application of deep neural networks to the numerical solution of nonlinear partial differential equations (PDEs).

Deep Multimodal Transfer-Learned Regression in Data-Poor Domains

1 code implementation • 16 Jun 2020 • Levi McClenny, Mulugeta Haile, Vahid Attari, Brian Sadler, Ulisses Braga-Neto, Raymundo Arroyave

In many real-world applications of deep learning, estimation of a target may rely on various types of input data modes, such as audio-video, image-text, etc.

Multi-target regression regression