14 citations · 39 across the 15 of their papers we have counts for
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cs.CV2022★ 7 cited
Vision Transformers provably learn spatial structure
Samy Jelassi, Michael E. Sander, Yuanzhi Li
Vision Transformers (ViTs) have achieved comparable or superior performance than Convolutional Neural Networks (CNNs) in computer vision. This empirical breakthrough is even more r…
cs.LG2022★ 4 cited
Do Residual Neural Networks discretize Neural Ordinary Differential Equations?
Michael E. Sander, Pierre Ablin, Gabriel Peyré
Neural Ordinary Differential Equations (Neural ODEs) are the continuous analog of Residual Neural Networks (ResNets). We investigate whether the discrete dynamics defined by a ResN…