Spatio-Temporal Super-Resolution of Dynamical Systems using Physics-Informed Deep-Learning

no code implementations • 8 Dec 2022 • Rajat Arora, Ankit Shrivastava

In this work, we propose a physics-informed deep learning-based framework to enhance the spatial and temporal resolution of coarse-scale (both in space and time) PDE solutions without requiring any HR data.

Super-Resolution

Towards Frequency-Based Explanation for Robust CNN

1 code implementation • 6 May 2020 • Zifan Wang, Yilin Yang, Ankit Shrivastava, Varun Rawal, Zihao Ding

We show that the vulnerability of the model against tiny distortions is a result of the model is relying on the high-frequency features, the target features of the adversarial (black and white-box) attackers, to make the prediction.