no code implementations • 19 Nov 2022 • Simla Burcu Harma, Ayan Chakraborty, Babak Falsafi, Martin Jaggi, Yunho Oh
The unprecedented growth in DNN model complexity, size, and amount of training data has led to a commensurate increase in demand for computing and a search for minimal encoding.
no code implementations • 21 Dec 2021 • Ayan Chakraborty, Thomas Wick, Xiaoying Zhuang, Timon Rabczuk
An efficient and easy to implement algorithm is developed to obtain a posteriori error estimate for multiple goal functionals by employing the dual-weighted residual approach, which is followed by the computation of both primal and adjoint solutions using the neural network.
