Learning State Space Trajectories in Recurrent Neural Networks
Many neural network learning procedures compute gradients of the errors on the output layer of units after they have settled to their final values. We describe a procedure for f...
Publications
2 shownAutomatic Differentiationin Machine Learning: a Survey
Derivatives, mostly in the form of gradients and Hessians, are ubiquitous in machine learning. Automatic differentiation (AD), also called algorithmic differentiation or simply ...
Frequent Co-Authors
Researcher Info
- h-index
- 2
- Publications
- 2
- Citations
- 2,766
- Institution
- Carnegie Mellon University
External Links
Identifiers
- ORCID
- 0000-0003-0521-4553
Impact Metrics
h-index
2
h-index: Number of publications with at least h citations each.