research
∙
06/09/2023
Group Equivariant Fourier Neural Operators for Partial Differential Equations
We consider solving partial differential equations (PDEs) with Fourier n...
share
research
∙
05/06/2023
A Latent Diffusion Model for Protein Structure Generation
Proteins are complex biomolecules that perform a variety of crucial func...
research
∙
06/15/2022
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems
Deep learning methods have been shown to be effective in representing gr...
research
∙
08/31/2019
Collaborative Policy Learning for Open Knowledge Graph Reasoning
In recent years, there has been a surge of interests in interpretable gr...
research
∙
07/13/2019
Satellite System Graph: Towards the Efficiency Up-Boundary of Graph-Based Approximate Nearest Neighbor Search
Approximate Nearest Neighbor Search (ANNS) in high dimensional space is ...
research
∙
06/25/2019
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning
Neural network compression empowers the effective yet unwieldy deep conv...
research
∙
09/23/2016