Co-occurring keywords · papers mentioning both
Papers
MeshMosaic: Scaling Artist Mesh Generation via Local-to-Global Assembly
CVPR 2026
Improving Rectified Flow with Boundary Conditions
ICCV 2025
Physics-aligned field reconstruction with diffusion bridge
ICLR 2025
Physics-Enforced Reservoir Computing for Forecasting Spatiotemporal Systems
L4DC 2025
Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers
ICML 2025
BENO: Boundary-embedded Neural Operators for Elliptic PDEs
ICLR 2024
Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations
JMLR 2024
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
NeurIPS 2024
Discrete Modeling via Boundary Conditional Diffusion Processes
NeurIPS 2024
Functional Gradient Flows for Constrained Sampling
NeurIPS 2024
Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks
ICML 2024
Boundary Graph Neural Networks for 3D Simulations
AAAI 2023
Exploration on Physics-Informed Neural Networks on Partial Differential Equations (Student Abstract)
AAAI 2023
Guiding continuous operator learning through Physics-based boundary constraints
ICLR 2023
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs
NeurIPS 2022
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions
NeurIPS 2022
Linearly Constrained Gaussian Processes with Boundary Conditions
AISTATS 2021
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
AISTATS 2019