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06/06/2023
Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels
Selecting hyperparameters in deep learning greatly impacts its effective...
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04/14/2022
Relaxing Equivariance Constraints with Non-stationary Continuous Filters
Equivariances provide useful inductive biases in neural network modeling...
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02/25/2022
Learning Invariant Weights in Neural Networks
Assumptions about invariances or symmetries in data can significantly in...
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02/22/2022
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations
Data augmentation is commonly applied to improve performance of deep lea...
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10/01/2020
Deep Group-wise Variational Diffeomorphic Image Registration
Deep neural networks are increasingly used for pair-wise image registrat...
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02/07/2019
