Picture for Ze Cheng

Ze Cheng

Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations

May 27, 2024
Viaarxiv icon

NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data

Add code
May 31, 2023
Figure 1 for NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data
Figure 2 for NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data
Figure 3 for NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data
Figure 4 for NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data
Viaarxiv icon

GNOT: A General Neural Operator Transformer for Operator Learning

Add code
Feb 28, 2023
Figure 1 for GNOT: A General Neural Operator Transformer for Operator Learning
Figure 2 for GNOT: A General Neural Operator Transformer for Operator Learning
Figure 3 for GNOT: A General Neural Operator Transformer for Operator Learning
Figure 4 for GNOT: A General Neural Operator Transformer for Operator Learning
Viaarxiv icon

A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs

Oct 10, 2022
Figure 1 for A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs
Figure 2 for A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs
Figure 3 for A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs
Figure 4 for A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs
Viaarxiv icon

Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients

Sep 15, 2022
Figure 1 for Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
Figure 2 for Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
Figure 3 for Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
Figure 4 for Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
Viaarxiv icon

Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations

Add code
Sep 12, 2020
Figure 1 for Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations
Figure 2 for Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations
Figure 3 for Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations
Figure 4 for Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations
Viaarxiv icon