19 citations · 61 across the 8 of their papers we have counts for
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stat.ML2018★ 10 cited
Towards Robust Deep Neural Networks
Timothy E. Wang, Yiming Gu, Dhagash Mehta +2
We investigate the topics of sensitivity and robustness in feedforward and convolutional neural networks. Combining energy landscape techniques developed in computational chemistry…
stat.ML2018★ 19 cited
The Loss Surface of XOR Artificial Neural Networks
Dhagash Mehta, Xiaojun Zhao, Edgar A. Bernal +1
Training an artificial neural network involves an optimization process over the landscape defined by the cost (loss) as a function of the network parameters. We explore these lands…