Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid
Simulations

Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations

2 May 2022

Maximilian Mueller

Papers citing "Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations"

5 / 5 papers shown

Title
Solving Inverse Physics Problems with Score Matching Benjamin Holzschuh S. Vegetti Nils Thuerey DiffM 11 8 0 24 Jan 2023
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 172 1,103 0 27 Apr 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 121 422 0 10 Mar 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 435 15,631 0 02 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015