Equivariance

topic on 1 show · 2 statements across 1 episodes

2 statements about Equivariance, every show

Welling: Simple Data Augmentation Can Outperform Hard-Coded Neural Network Equivariance

“Sometimes actually data augmentation works even better than hard coding the equivalence in, and this is something to do with the fact that if you constrain the optimization, the weights, before the optimization starts, the optimization surface or objective bec…”

Max Welling Feb 25, 2026 ▶ 30:14 🔬Max Welling: Materials Underlie Everything

LATENT SPACE Insight

Welling: Equivariant neural networks need far less training data

“Where if you build equivariance in, basically, once you've trained it in one orientation, it will understand it in any other orientation. So that means you need a lot less data to train these models.”

Max Welling Feb 25, 2026 ▶ 29:24 🔬Max Welling: Materials Underlie Everything

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Equivariance

2 statements about Equivariance, every show

Turn any episode into a week of clips.