Geometry-Informed Neural Networks

21 February 2024

Papers citing "Geometry-Informed Neural Networks"

8 / 8 papers shown

Title
Variational Annealing on Graphs for Combinatorial Optimization Sebastian Sanokowski Wilhelm Berghammer Sepp Hochreiter Sebastian Lehner 46 8 0 23 Nov 2023
Euler Characteristic Transform Based Topological Loss for Reconstructing 3D Images from Single 2D Slices K. Nadimpalli A. Chattopadhyay Bastian Alexander Rieck 36 8 0 08 Mar 2023
Attention Beats Concatenation for Conditioning Neural Fields Daniel Rebain Mark J. Matthews K. M. Yi Gopal Sharma Dmitry Lagun Andrea Tagliasacchi AI4CE 24 22 0 21 Sep 2022
Exploring Differential Geometry in Neural Implicits Tiago Novello Guilherme Gonçalves Schardong L. Schirmer V. Silva Helio Lopes Luiz Velho 43 26 0 23 Jan 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 163 1,095 0 27 Apr 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 121 364 0 10 Mar 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 146 289 0 05 Nov 2018
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 69 1,443 0 29 Nov 2016