most citedContinuous vs. Discrete Optimization of Deep Neural Networks

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.LG2021★ 4 cited

Continuous vs. Discrete Optimization of Deep Neural Networks

Omer Elkabetz, Nadav Cohen

Existing analyses of optimization in deep learning are either continuous, focusing on (variants of) gradient flow, or discrete, directly treating (variants of) gradient descent. Gr…