3 citations · 4 across the 3 of their papers we have counts for
3 papers
Training Data Reconstruction: Privacy due to Uncertainty?
Christina Runkel, Kanchana Vaishnavi Gandikota, Jonas Geiping +2
Being able to reconstruct training data from the parameters of a neural network is a major privacy concern. Previous works have shown that reconstructing training data, under certa…
Operator learning regularization for macroscopic permeability prediction in dual-scale flow problem
Christina Runkel, Sinan Xiao, Nicolas Boullé +1
Liquid composites moulding is an important manufacturing technology for fibre reinforced composites, due to its cost-effectiveness. Challenges lie in the optimisation of the proces…
Continuous U-Net: Faster, Greater and Noiseless
Chun-Wun Cheng, Christina Runkel, Lihao Liu +3
Image segmentation is a fundamental task in image analysis and clinical practice. The current state-of-the-art techniques are based on U-shape type encoder-decoder networks with sk…