Tycho van der Ouderaa

3 papers · 2022–2023 · 1 venue · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

NeurIPS (3)

Top co-authors

Mark van der Wilk (3) Alexander Immer (2) Gunnar Rätsch (1) Vincent Fortuin (1) David W. Romero (1)

Research topics

Deep Learning (3) Machine Learning (3) Learning Types (3) Optimization & Theory · Machine Learning (3) Architectures (2) Core Methods (2) Optimization & Theory · Deep Learning (2) Computer Vision (1) Analysis (1) Application Areas (1)

Keywords

laplace approximation (2) marginal likelihood (2) convolutional neural network (2) feature learning (1) data augmentation (1) parameter efficient (1) invariance learning (1) bayesian model selection (1) weight sharing (1) symmetry discovery (1) translation equivariance (1) gradient-based learning (1) neural network (1) symmetry constraint (1) non-stationary filter (1) layer-wise equivariance (1) differentiable laplace approximation (1) neural network architecture (1) marginal likelihood optimization (1) representation learning (1)

Papers

Learning Layer-wise Equivariances Automatically using Gradients NeurIPS 2023 Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations NeurIPS 2022 Relaxing Equivariance Constraints with Non-stationary Continuous Filters NeurIPS 2022