Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs.
Yusuke TanakaTakaharu YaguchiTomoharu IwataNaonori UedaPublished in: CoRR (2024)
Keyphrases
- learning algorithm
- online learning
- reinforcement learning
- learning process
- learning systems
- neural network
- learning scheme
- supervised learning
- machine learning
- learning rules
- active learning
- semi supervised
- knowledge acquisition
- learning tasks
- biologically inspired
- prior knowledge
- decision trees
- biologically plausible