Differential Equations and Continuous-Time Deep Learning (Dagstuhl Seminar 22332).
David DuvenaudMarkus HeinonenMichael TiemannMax WellingPublished in: Dagstuhl Reports (2022)
Keyphrases
- differential equations
- deep learning
- dynamical systems
- optimal control problems
- unsupervised learning
- unsupervised feature learning
- markov chain
- machine learning
- weakly supervised
- boundary value problem
- numerical solution
- ordinary differential equations
- mental models
- brownian motion
- deep architectures
- state space
- partial differential equations
- optimal control
- numerical methods
- image analysis
- feature extraction
- neural network