Respecting causality for training physics-informed neural networks论文
Computer Methods in Applied Mechanics and Engineering2024引用: 242
Unsupervised Medical Image Translation With Adversarial Diffusion Models论文
IEEE Transactions on Medical Imaging2023引用: 431
Null-text Inversion for Editing Real Images using Guided Diffusion Models论文
2023引用: 596
Diffusion Models in Vision: A Survey论文
IEEE Transactions on Pattern Analysis and Machine Intelligence2023引用: 1.6K
On Distillation of Guided Diffusion Models论文
2023引用: 252
Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons论文
Journal of Computational Physics2023引用: 367
Adding Conditional Control to Text-to-Image Diffusion Models论文
2023引用: 3.5K
Model-Based Deep Learning论文
Proceedings of the IEEE2023引用: 323
Can We Trust AI-Powered Real-Time Embedded Systems? (Invited Paper)论文
DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)2022引用: 230
A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks论文
Computer Methods in Applied Mechanics and Engineering2022引用: 562
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems论文
ACM Computing Surveys2022引用: 594
Self-adaptive loss balanced Physics-informed neural networks论文
Neurocomputing2022引用: 413
Deep physical neural networks trained with backpropagation论文
Nature2022引用: 684
Neural-Fly enables rapid learning for agile flight in strong winds论文
Science Robotics2022引用: 231
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation论文
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)2022引用: 279
Self-adaptive physics-informed neural networks论文
Journal of Computational Physics2022引用: 439
Liquid Time-constant Networks论文
Proceedings of the AAAI Conference on Artificial Intelligence2021引用: 262
A review on deep reinforcement learning for fluid mechanics论文
Computers & Fluids2021引用: 256
Dynamic Mode Decomposition and Its Variants论文
Annual Review of Fluid Mechanics2021引用: 582
A point-cloud deep learning framework for prediction of fluid flow fields on irregular geometries论文
Physics of Fluids2021引用: 258
第 1-20 条,共 304 条
上一页下一页