activity
20192026
most citedMulti-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems

21 citations · 50 across the 20 of their papers we have counts for

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Showing 2021Show all

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cs.LG2021

Stable Anderson Acceleration for Deep Learning

Massimiliano Lupo Pasini, Junqi Yin, Viktor Reshniak +1

Anderson acceleration (AA) is an extrapolation technique designed to speed-up fixed-point iterations like those arising from the iterative training of DL models. Training DL models…

cs.CV2021

Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data

Massimiliano Lupo Pasini, Vittorio Gabbi, Junqi Yin +2

We propose a distributed approach to train deep convolutional generative adversarial neural network (DC-CGANs) models. Our method reduces the imbalance between generator and discri…