Garcke, Jochen

13 publications

TMLR 2026 Density-Aware Farthest Point Sampling Paolo Climaco, Jochen Garcke

DMLR 2024 On Minimizing the Training Set Fill Distance in Machine Learning Regression Paolo Climaco, Jochen Garcke

MLOSS 2024 Ptwt - The PyTorch Wavelet Toolbox Moritz Wolter, Felix Blanke, Jochen Garcke, Charles Tapley Hoyt

WACV 2022 Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes Sara Hahner, Jochen Garcke

LoG 2022 Transfer Learning Using Spectral Convolutional Autoencoders on Semi-Regular Surface Meshes Sara Hahner, Felix Kerkhoff, Jochen Garcke

MLJ 2022 Wavelet-Packets for Deepfake Image Analysis and Detection Moritz Wolter, Felix Blanke, Raoul Heese, Jochen Garcke

AISTATS 2021 Adaptive Wavelet Pooling for Convolutional Neural Networks Moritz Wolter, Jochen Garcke

ICLR 2020 Unsupervised Learning of Automotive 3D Crash Simulations Using LSTMs Amin Abbasloo, Jochen Garcke, Rodrigo Iza-Teran

ECML-PKDD 2014 Importance Weighted Inductive Transfer Learning for Regression Jochen Garcke, Thomas Vanck

ACML 2013 Using Hyperbolic Cross Approximation to Measure and Compensate Covariate Shift Thomas Vanck, Jochen Garcke

AISTATS 2012 On a Connection Between Maximum Variance Unfolding, Shortest Path Problems and IsoMap Alexander Paprotny, Jochen Garcke

ECML-PKDD 2010 Classification with Sums of Separable Functions Jochen Garcke

ICML 2006 Regression with the Optimised Combination Technique Jochen Garcke