Learning Useful Representations of Recurrent Neural Network Weight Matrices

Vincent Herrmann; Francesco Faccio; Jürgen Schmidhuber

2024 ICML ICML 2024

Learning Useful Representations of Recurrent Neural Network Weight Matrices

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber

Topics

Artificial Intelligence > Core AI > Interpretability Machine Learning > Core Methods > Representation Learning Deep Learning > Architectures > Neural Networks

Keywords

self-supervised learning model zoo functionalism mechanistic approach probing inputs rnn weights

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