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Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling

Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar: Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. IGARSS 2020: 3494-3496

Welcome to AI matters 6(3)

SIGAI annual report: July 1 2019 – June 30 2020

Welcome to AI Matters 6(1)

Welcome to AI matters 6(2)

PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics

A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning

Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs

Zero-shot Learning for Relation Extraction

Graph Deep Factors for Forecasting