5 citations · 6 across the 7 of their papers we have counts for
7 papers
SE(3)-bi-equivariant Transformers for Point Cloud Assembly
Ziming Wang, Rebecka Jörnsten
Given a pair of point clouds, the goal of assembly is to recover a rigid transformation that aligns one point cloud to the other. This task is challenging because the point clouds…
Controlled Descent Training
Viktor Andersson, Balázs Varga, Vincent Szolnoky +3
In this work, a novel and model-based artificial neural network (ANN) training method is developed supported by optimal control theory. The method augments training labels in order…
Bandwidth Selection for Gaussian Kernel Ridge Regression via Jacobian Control
Oskar Allerbo, Rebecka Jörnsten
Most machine learning methods require tuning of hyper-parameters. For kernel ridge regression with the Gaussian kernel, the hyper-parameter is the bandwidth. The bandwidth specifie…
Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net
Oskar Allerbo, Johan Jonasson, Rebecka Jörnsten
The elastic net combines lasso and ridge regression to fuse the sparsity property of lasso with the grouping property of ridge regression. The connections between ridge regression…
Robust Neural Network Classification via Double Regularization
Olof Zetterqvist, Rebecka Jörnsten, Johan Jonasson
The presence of mislabeled observations in data is a notoriously challenging problem in statistics and machine learning, associated with poor generalization properties for both tra…
Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders
Oskar Allerbo, Rebecka Jörnsten
High-dimensional data sets are often analyzed and explored via the construction of a latent low-dimensional space which enables convenient visualization and efficient predictive mo…
Flexible, Non-parametric Modeling Using Regularized Neural Networks
Oskar Allerbo, Rebecka Jörnsten
Non-parametric, additive models are able to capture complex data dependencies in a flexible, yet interpretable way. However, choosing the format of the additive components often re…