103 citations · 109 across the 9 of their papers we have counts for
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cs.LG2023
PMaF: Deep Declarative Layers for Principal Matrix Features
Zhiwei Xu, Hao Wang, Yanbin Liu +1
We explore two differentiable deep declarative layers, namely least squares on sphere (LESS) and implicit eigen decomposition (IED), for learning the principal matrix features (PMa…
cs.LG2023
Towards Understanding Gradient Approximation in Equality Constrained Deep Declarative Networks
Stephen Gould, Ming Xu, Zhiwei Xu +1
We explore conditions for when the gradient of a deep declarative node can be approximated by ignoring constraint terms and still result in a descent direction for the global loss…
cs.LG2023★ 3 cited
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths
Ming Xu, Sourav Garg, Michael Milford +1
This paper addresses learning end-to-end models for time series data that include a temporal alignment step via dynamic time warping (DTW). Existing approaches to differentiable DT…