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cs.LG2021★ 2 cited
A Differential Geometry Perspective on Orthogonal Recurrent Models
Omri Azencot, N. Benjamin Erichson, Mirela Ben-Chen +1
Recently, orthogonal recurrent neural networks (RNNs) have emerged as state-of-the-art models for learning long-term dependencies. This class of models mitigates the exploding and…
cs.LG2021
An Operator Theoretic Approach for Analyzing Sequence Neural Networks
Ilan Naiman, Omri Azencot
Analyzing the inner mechanisms of deep neural networks is a fundamental task in machine learning. Existing work provides limited analysis or it depends on local theories, such as f…