Tycho F. A. van der Ouderaa

According to our database, Tycho F. A. van der Ouderaa authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Pyramid Vector Quantization for LLMs.

Tycho F. A. van der Ouderaa, Maximilian L. Croci, Agrin Hilmkil, James Hensman

CoRR, 2024

Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks.

Yoav Gelberg, Tycho F. A. van der Ouderaa, Mark van der Wilk, Yarin Gal

CoRR, 2024

Noether's Razor: Learning Conserved Quantities.

Tycho F. A. van der Ouderaa, Mark van der Wilk, Pim de Haan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

The LLM Surgeon.

Tycho F. A. van der Ouderaa, Markus Nagel, Mart van Baalen, Tijmen Blankevoort

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

The LLM Surgeon.

Tycho F. A. van der Ouderaa, Markus Nagel, Mart van Baalen, Yuki M. Asano, Tijmen Blankevoort

CoRR, 2023

Learning Layer-wise Equivariances Automatically using Gradients.

Tycho F. A. van der Ouderaa, Alexander Immer, Mark van der Wilk

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels.

Alexander Immer, Tycho F. A. van der Ouderaa, Mark van der Wilk, Gunnar Rätsch, Bernhard Schölkopf

Proceedings of the International Conference on Machine Learning, 2023

2022

Learning invariant weights in neural networks.

Tycho F. A. van der Ouderaa, Mark van der Wilk

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Relaxing Equivariance Constraints with Non-stationary Continuous Filters.

Tycho F. A. van der Ouderaa, David W. Romero, Mark van der Wilk

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations.

Alexander Immer, Tycho F. A. van der Ouderaa, Gunnar Rätsch, Vincent Fortuin, Mark van der Wilk

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sparse Convolutions on Lie Groups.

Tycho F. A. van der Ouderaa, Mark van der Wilk

Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022

2020

Deep Group-Wise Variational Diffeomorphic Image Registration.

Tycho F. A. van der Ouderaa, Ivana Isgum, Wouter B. Veldhuis, Bob D. de Vos

Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020

2019

Reversible GANs for Memory-Efficient Image-To-Image Translation.

Tycho F. A. van der Ouderaa, Daniel E. Worrall

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019