259 citations · 978 across the 60 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2020★ 108 cited
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
Yuan Yin, Vincent Le Guen, Jérémie Dona +4
Forecasting complex dynamical phenomena in settings where only partial knowledge of their dynamics is available is a prevalent problem across various scientific fields. While purel…
stat.ML2020
A Principle of Least Action for the Training of Neural Networks
Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac +1
Neural networks have been achieving high generalization performance on many tasks despite being highly over-parameterized. Since classical statistical learning theory struggles to…