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cs.LG2024
Equivariant Neural Tangent Kernels
Philipp Misof, Pan Kessel, Jan E. Gerken
Little is known about the training dynamics of equivariant neural networks, in particular how it compares to data augmented training of their non-equivariant counterparts. Recently…
cs.LG2024★ 1 cited
Fast and Unified Path Gradient Estimators for Normalizing Flows
Lorenz Vaitl, Ludwig Winkler, Lorenz Richter +1
Recent work shows that path gradient estimators for normalizing flows have lower variance compared to standard estimators for variational inference, resulting in improved training.…
cs.LG2024
Emergent Equivariance in Deep Ensembles
Jan E. Gerken, Pan Kessel
We show that deep ensembles become equivariant for all inputs and at all training times by simply using data augmentation. Crucially, equivariance holds off-manifold and for any ar…