8 citations · 11 across the 12 of their papers we have counts for
4 papers · 1 filter
Learning to Detect Label Errors by Making Them: A Method for Segmentation and Object Detection Datasets
Sarina Penquitt, Tobias Riedlinger, Timo Heller +2
Recently, detection of label errors and improvement of label quality in datasets for supervised learning tasks has become an increasingly important goal in both research and indust…
Consistency of Learned Sparse Grid Quadrature Rules using NeuralODEs
Hanno Gottschalk, Emil Partow, Tobias J. Riedlinger
We prove consistency of a recently proposed scheme that evaluates expected values by composing a learned transport map with Clenshaw--Curtis sparse-grid quadrature on a tractable p…
Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection
Tobias J. Riedlinger, Kira Maag, Hanno Gottschalk
Deep neural networks have set the state-of-the-art in computer vision tasks such as bounding box detection and semantic segmentation. Object detectors and segmentation models assig…
Numerical and statistical analysis of NeuralODE with Runge-Kutta time integration
Emily C. Ehrhardt, Hanno Gottschalk, Tobias J. Riedlinger
NeuralODE is one example for generative machine learning based on the push forward of a simple source measure with a bijective mapping, which in the case of NeuralODE is given by t…