Reliable extrapolation of deep neural operators informed by physics or sparse observations.
Min ZhuHandi ZhangAnran JiaoGeorge Em KarniadakisLu LuPublished in: CoRR (2022)
Keyphrases
- neural network
- network architecture
- artificial intelligence
- sparse data
- high dimensional
- neural model
- compressive sensing
- sparse representation
- morphological operators
- artificial neural
- cost effective
- computer science
- building blocks
- biologically plausible
- neural computation
- real time
- genetic algorithm
- query processing
- deep learning
- evolutionary robotics