Deep Models and Optimization
Conference Paper
2024
Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues
| Author(s): | Orvieto, Antonio and De, Soham and Gulcehre, Caglar and Pascanu, Razvan and Smith, Samuel L |
| Book Title: | Proceedings of the Forty-First International Conference on Machine Learning |
| Journal: | Proceedings of Machine Learning Research |
| Year: | 2024 |
| Month: | June |
| Day: | 01 |
| Bibtex Type: | Conference Paper (inproceedings) |
| Event Name: | Forty-First International Conference on Machine Learning |
| Event Place: | Vienna, Austria |
| State: | Published |
| URL: | https://proceedings.mlr.press/v235/orvieto24a.html |
| Organization: | ICML |
| Links: | |
BibTex
@inproceedings{Universality2024,
title = {Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues},
journal = {Proceedings of Machine Learning Research},
booktitle = {Proceedings of the Forty-First International Conference on Machine Learning },
organization = {ICML},
month = jun,
year = {2024},
slug = {universality2024},
author = {Orvieto, Antonio and De, Soham and Gulcehre, Caglar and Pascanu, Razvan and Smith, Samuel L},
url = {https://proceedings.mlr.press/v235/orvieto24a.html},
month_numeric = {6}
}