Tycho F. A. van der Ouderaa | DeepAI

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∙ 06/06/2023

Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels

Selecting hyperparameters in deep learning greatly impacts its effective...

8 Alexander Immer, et al. ∙

∙ 04/14/2022

Relaxing Equivariance Constraints with Non-stationary Continuous Filters

Equivariances provide useful inductive biases in neural network modeling...

6 Tycho F. A. van der Ouderaa, et al. ∙

∙ 02/25/2022

Learning Invariant Weights in Neural Networks

Assumptions about invariances or symmetries in data can significantly in...

203 Tycho F. A. van der Ouderaa, et al. ∙

∙ 02/22/2022

Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations

Data augmentation is commonly applied to improve performance of deep lea...

58 Alexander Immer, et al. ∙

∙ 10/01/2020

Deep Group-wise Variational Diffeomorphic Image Registration

Deep neural networks are increasingly used for pair-wise image registrat...

9 Tycho F. A. van der Ouderaa, et al. ∙

∙ 02/07/2019

Reversible GANs for Memory-efficient Image-to-Image Translation

The Pix2pix and CycleGAN losses have vastly improved the qualitative and...

0 Tycho F. A. van der Ouderaa, et al. ∙

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