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ORCIDTycho F. A. van der Ouderaa
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2020 – today
- 2024
[c9]Tycho F. A. van der Ouderaa, Markus Nagel, Mart van Baalen, Tijmen Blankevoort:
The LLM Surgeon. ICLR 2024- [i9]Yoav Gelberg, Tycho F. A. van der Ouderaa, Mark van der Wilk, Yarin Gal:
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks. CoRR abs/2408.05496 (2024) - 2023
- [c8]Alexander Immer, Tycho F. A. van der Ouderaa, Mark van der Wilk, Gunnar Rätsch, Bernhard Schölkopf:
Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels. ICML 2023: 14333-14352 - [c7]Tycho F. A. van der Ouderaa, Alexander Immer, Mark van der Wilk:
Learning Layer-wise Equivariances Automatically using Gradients. NeurIPS 2023 - [i8]Alexander Immer, Tycho F. A. van der Ouderaa, Mark van der Wilk, Gunnar Rätsch, Bernhard Schölkopf:
Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels. CoRR abs/2306.03968 (2023) - [i7]Tycho F. A. van der Ouderaa, Alexander Immer, Mark van der Wilk:
Learning Layer-wise Equivariances Automatically using Gradients. CoRR abs/2310.06131 (2023) - [i6]Tycho F. A. van der Ouderaa, Markus Nagel, Mart van Baalen, Yuki M. Asano, Tijmen Blankevoort:
The LLM Surgeon. CoRR abs/2312.17244 (2023) - 2022
- [c6]Tycho F. A. van der Ouderaa, Mark van der Wilk:
Sparse Convolutions on Lie Groups. NeurReps 2022: 48-62 - [c5]Alexander Immer, Tycho F. A. van der Ouderaa, Gunnar Rätsch, Vincent Fortuin, Mark van der Wilk:
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations. NeurIPS 2022 - [c4]Tycho F. A. van der Ouderaa, David W. Romero, Mark van der Wilk:
Relaxing Equivariance Constraints with Non-stationary Continuous Filters. NeurIPS 2022 - [c3]Tycho F. A. van der Ouderaa, Mark van der Wilk:
Learning invariant weights in neural networks. UAI 2022: 1992-2001 - [i5]Alexander Immer, Tycho F. A. van der Ouderaa, Vincent Fortuin, Gunnar Rätsch, Mark van der Wilk:
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations. CoRR abs/2202.10638 (2022) - [i4]Tycho F. A. van der Ouderaa, Mark van der Wilk:
Learning Invariant Weights in Neural Networks. CoRR abs/2202.12439 (2022) - [i3]Tycho F. A. van der Ouderaa, David W. Romero, Mark van der Wilk:
Relaxing Equivariance Constraints with Non-stationary Continuous Filters. CoRR abs/2204.07178 (2022) - 2020
- [c2]Tycho F. A. van der Ouderaa, Ivana Isgum, Wouter B. Veldhuis, Bob D. de Vos:
Deep Group-Wise Variational Diffeomorphic Image Registration. TIA@MICCAI 2020: 155-164 - [i2]Tycho F. A. van der Ouderaa, Ivana Isgum, Wouter B. Veldhuis, Bob D. de Vos:
Deep Group-wise Variational Diffeomorphic Image Registration. CoRR abs/2010.00231 (2020)
2010 – 2019
- 2019
- [c1]Tycho F. A. van der Ouderaa, Daniel E. Worrall:
Reversible GANs for Memory-Efficient Image-To-Image Translation. CVPR 2019: 4720-4728 - [i1]Tycho F. A. van der Ouderaa, Daniel E. Worrall:
Reversible GANs for Memory-efficient Image-to-Image Translation. CoRR abs/1902.02729 (2019)
Coauthor Index
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