no code implementations • 9 Feb 2023 • Danial Khatamsaz, Vahid Attari, Raymundo Arroyave, Douglas L. Allaire
Uncertainty analysis in the outcomes of model predictions is a key element in decision-based material design to establish confidence in the models and evaluate the fidelity of models.
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.