33 citations · 65 across the 7 of their papers we have counts for
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cs.LG2023
Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs
Dmitry Chistikov, Matthias Englert, Ranko Lazic
We prove that, for the fundamental regression task of learning a single neuron, training a one-hidden layer ReLU network of any width by gradient flow from a small initialisation c…
cs.LG2022★ 2 cited
Adversarial Reprogramming Revisited
Matthias Englert, Ranko Lazic
Adversarial reprogramming, introduced by Elsayed, Goodfellow, and Sohl-Dickstein, seeks to repurpose a neural network to perform a different task, by manipulating its input without…