Existence and uniqueness results for neural network approximations

By Robert C. Williamson, Uwe Helmke. 1995

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Andrea Vedaldi
2. Tinne Tuytelaars
3. Andrew Zisserman
4. Luc Van Gool
5. João F. Henriques
6. Abhinav Kumar Gupta
7. Ishan Misra
8. Martin Danelljan

Citations in the corpus

• Lifelong Generative Modeling (2017, neutral): “uniqueness [131]).”
• Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability (2001, background): “Coefficients ai correspond to the poles αi = ei , whereas scaling factors ci represent the residues of r(z) at ei (Williamson and Helmke 1995).”
• Automatic Recall Machines: Internal Replay, Continual Learning and the Brain (2020, background): “A neural network can have multiple instantiations with different parameter values that execute the same overall behavior [Williamson and Helmke, 1995].”