Continuous Deep Equilibrium Models: Training Neural ODEs Faster by Integrating Them to Infinity.
Avik PalAlan EdelmanChris RackauckasPublished in: HPEC (2023)
Keyphrases
- probabilistic model
- neural network
- statistical models
- deep architectures
- training phase
- training set
- game theory
- complex systems
- ordinary differential equations
- training algorithm
- training process
- mathematical models
- training examples
- model selection
- prior knowledge
- multi agent systems
- support vector
- bayesian networks