Jochen Garcke

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 46

Top Venues

University of Bonn, Germany (PHD)

Education History

University of Bonn, Germany

PHD

Publications

Arno Feiden, Biagio Paparella, Jochen Garcke
Generalizing Diversity with the Signature Transform. GECCO Companion (2024)
Sara Hahner, Souhaib Attaiki, Jochen Garcke, Maks Ovsjanikov
Unsupervised Representation Learning for Diverse Deformable Shape Collections. 3DV (2024)
Yanying Zhou, Jochen Garcke
Learning Crowd Behaviors in Navigation with Attention-based Spatial-Temporal Graphs. ICRA (2024)
Yanying Zhou, Jochen Garcke
Learning Crowd Behaviors in Navigation with Attention-based Spatial-Temporal Graphs. CoRR (2024)
Sebastian Mayer, Léo Françoso Dal Piccol Sotto, Jochen Garcke
The Elements of Flexibility for Task-Performing Systems. IEEE Access 11 (2023)
Arno Feiden, Jochen Garcke
Overcoming Deceptive Rewards with Quality-Diversity. GECCO Companion (2023)
Paolo Climaco, Jochen Garcke
Investigating minimizing the training set fill distance in machine learning regression. CoRR (2023)
Niklas Breustedt, Paolo Climaco, Jochen Garcke, Jan Hamaekers, Gitta Kutyniok, Dirk A. Lorenz, Rick Oerder, Chirag Varun Shukla
On the Interplay of Subset Selection and Informed Graph Neural Networks. CoRR (2023)
Léo Françoso Dal Piccol Sotto, Sebastian Mayer, Hemanth Janarthanam, Alexander Butz, Jochen Garcke
Evolutionary Solution Adaption for Multi-Objective Metal Cutting Process Optimization. CoRR (2023)
Anahita Pakiman, Jochen Garcke, Axel Schumacher
Graph Extraction for Assisting Crash Simulation Data Analysis. CoRR (2023)
Laura von Rüden, Jochen Garcke, Christian Bauckhage
How Does Knowledge Injection Help in Informed Machine Learning? IJCNN (2023)
Anahita Pakiman, Jochen Garcke, Axel Schumacher
Graph Extraction for Assisting Crash Simulation Data Analysis. ICCS (2023)
Jochen Garcke, Ribana Roscher
Explainable Machine Learning. Mach. Learn. Knowl. Extr. 5 (1) (2023)
Laura von Rüden, Sebastian Mayer, Katharina Beckh, Bogdan Georgiev, Sven Giesselbach, Raoul Heese, Birgit Kirsch, Julius Pfrommer, Annika Pick, Rajkumar Ramamurthy, Michal Walczak, Jochen Garcke, Christian Bauckhage, Jannis Schuecker
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Anahita Pakiman, Jochen Garcke, Axel Schumacher
Knowledge discovery assistants for crash simulations with graph algorithms and energy absorption features. Appl. Intell. 53 (16) (2023)
Sara Hahner, Souhaib Attaiki, Jochen Garcke, Maks Ovsjanikov
Unsupervised Representation Learning for Diverse Deformable Shape Collections. CoRR (2023)
Sara Hahner, Felix Kerkhoff, Jochen Garcke
Transfer Learning Using Spectral Convolutional Autoencoders on Semi-Regular Surface Meshes. LoG (2022)
Sara Hahner, Jochen Garcke
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes. WACV (2022)
Sara Hahner, Felix Kerkhoff, Jochen Garcke
Transfer Learning using Spectral Convolutional Autoencoders on Semi-Regular Surface Meshes. CoRR (2022)
Sebastian Mayer, Léo Françoso Dal Piccol Sotto, Jochen Garcke
The elements of flexibility for task-performing systems. CoRR (2022)
Moritz Wolter, Felix Blanke, Raoul Heese, Jochen Garcke
Wavelet-packets for deepfake image analysis and detection. Mach. Learn. 111 (11) (2022)
Lokesh Veeramacheneni, Moritz Wolter, Reinhard Klein, Jochen Garcke
Canonical convolutional neural networks. CoRR (2022)
Lokesh Veeramacheneni, Moritz Wolter, Reinhard Klein, Jochen Garcke
Canonical convolutional neural networks. IJCNN (2022)
Anahita Pakiman, Jochen Garcke
Graph Modeling in Computer Assisted Automotive Development. CoRR (2022)
Léo Françoso Dal Piccol Sotto, Sebastian Mayer, Jochen Garcke
The pole balancing problem from the viewpoint of system flexibility. GECCO Companion (2022)
Anahita Pakiman, Jochen Garcke
Graph Modeling in Computer Assisted Automotive Development. ICKG (2022)
Moritz Wolter, Felix Blanke, Charles Tapley Hoyt, Jochen Garcke
Wavelet-Packet Powered Deepfake Image Detection. CoRR (2021)
Sara Hahner, Jochen Garcke
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes. CoRR (2021)
Moritz Wolter, Jochen Garcke
Adaptive wavelet pooling for convolutional neural networks. AISTATS (2021)
Yanying Zhou, Shijie Li, Jochen Garcke
R-SARL: Crowd-aware Navigation Based Deep Reinforcement Learning for Nonholonomic Robot in Complex Environments. CoRR (2021)
Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke
Explainable Machine Learning for Scientific Insights and Discoveries. IEEE Access 8 (2020)
Sara Hahner, Rodrigo Iza-Teran, Jochen Garcke
Analysis and Prediction of Deforming 3D Shapes using Oriented Bounding Boxes and LSTM Autoencoders. CoRR (2020)
Sara Hahner, Rodrigo Iza-Teran, Jochen Garcke
Analysis and Prediction of Deforming 3D Shapes Using Oriented Bounding Boxes and LSTM Autoencoders. ICANN (1) (2020)
Skylar Sible, Rodrigo Iza-Teran, Jochen Garcke, Nikola Aulig, Patricia Wollstadt
A Compact Spectral Descriptor for Shape Deformations. CoRR (2020)
Skylar Sible, Rodrigo Iza-Teran, Jochen Garcke, Nikola Aulig, Patricia Wollstadt
A Compact Spectral Descriptor for Shape Deformations. ECAI (2020)
Laura von Rüden, Sebastian Mayer, Rafet Sifa, Christian Bauckhage, Jochen Garcke
Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions. IDA (2020)
Laura von Rüden, Sebastian Mayer, Jochen Garcke, Christian Bauckhage, Jannis Schücker
Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning. CoRR (2019)
Rodrigo Iza-Teran, Jochen Garcke
A Geometrical Method for Low-Dimensional Representations of Simulations. CoRR (2019)
Rodrigo Iza-Teran, Jochen Garcke
A Geometrical Method for Low-Dimensional Representations of Simulations. SIAM/ASA J. Uncertain. Quantification 7 (2) (2019)
Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke
Explainable Machine Learning for Scientific Insights and Discoveries. CoRR (2019)
Friedrich Solowjow, Dominik Baumann, Jochen Garcke, Sebastian Trimpe
Event-Triggered Learning for Resource-Efficient Networked Control. ACC (2018)
Friedrich Solowjow, Dominik Baumann, Jochen Garcke, Sebastian Trimpe
Event-triggered Learning for Resource-efficient Networked Control. CoRR (2018)
Jochen Garcke, Axel Kröner
Suboptimal Feedback Control of PDEs by Solving HJB Equations on Adaptive Sparse Grids. J. Sci. Comput. 70 (1) (2017)
Bastian Bohn, Jochen Garcke, Michael Griebel
A sparse grid based method for generative dimensionality reduction of high-dimensional data. J. Comput. Phys. 309 (2016)
Jia Liu, Dustin Feld, Yong Xue, Jochen Garcke, Thomas Soddemann, Peiyuan Pan
An efficient geosciences workflow on multi-core processors and GPUs: a case study for aerosol optical depth retrieval from MODIS satellite data. Int. J. Digit. Earth 9 (8) (2016)
Alvaro Aguilera, Richard Grunzke, Dirk Habich, Johannes Luong, Dirk Schollbach, Ulf Markwardt, Jochen Garcke
Advancing a Gateway Infrastructure for Wind Turbine Data Analysis. J. Grid Comput. 14 (4) (2016)
Jia Liu, Dustin Feld, Yong Xue, Jochen Garcke, Thomas Soddemann
Multicore Processors and Graphics Processing Unit Accelerators for Parallel Retrieval of Aerosol Optical Depth From Satellite Data: Implementation, Performance, and Energy Efficiency. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8 (5) (2015)
Jochen Garcke
VAVID - Handling Big Data. ERCIM News 2015 (101) (2015)
Jochen Garcke, Thomas Vanck
Importance Weighted Inductive Transfer Learning for Regression. ECML/PKDD (1) (2014)
Rodrigo Iza-Teran, Jochen Garcke
Data Analytics for Simulation Repositories in Industry. GI-Jahrestagung (2014)
Thomas Vanck, Jochen Garcke
Using Hyperbolic Cross Approximation to measure and compensate Covariate Shift. ACML (2013)
Bastian Bohn, Jochen Garcke, Rodrigo Iza-Teran, Alexander Paprotny, Benjamin Peherstorfer, Ulf Schepsmeier, Clemens-August Thole
Analysis of Car Crash Simulation Data with Nonlinear Machine Learning Methods. ICCS (2013)
Olivier Bokanowski, Jochen Garcke, Michael Griebel, Irene Klompmaker
An Adaptive Sparse Grid Semi-Lagrangian Scheme for First Order Hamilton-Jacobi Bellman Equations. J. Sci. Comput. 55 (3) (2013)
Alexander Paprotny, Jochen Garcke
On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap. AISTATS (2012)
Jochen Garcke
Classification with Sums of Separable Functions. ECML/PKDD (1) (2010)
Gregory Beylkin, Jochen Garcke, Martin J. Mohlenkamp
Multivariate Regression and Machine Learning with Sums of Separable Functions. SIAM J. Sci. Comput. 31 (3) (2009)
Jochen Garcke, Markus Hegland
Fitting multidimensional data using gradient penalties and the sparse grid combination technique. Computing 84 (1-2) (2009)
Jochen Garcke
A Dimension Adaptive Combination Technique Using Localised Adaptation Criteria. HPSC (2009)
Steffen Börm, Jochen Garcke
-Matrices. ECML (2007)
Jochen Garcke, Markus Hegland
Fitting Multidimensional Data Using Gradient Penalties and Combination Techniques. HPSC (2006)
Jochen Garcke
Regression with the optimised combination technique. ICML (2006)
Jochen Garcke, Markus Hegland, Ole Møller Nielsen
Parallelisation of Sparse Grids for Large Scale Data Analysis. International Conference on Computational Science (2003)
Jochen Garcke, Michael Griebel
Classification with sparse grids using simplicial basis functions. Intell. Data Anal. 6 (6) (2002)
Jochen Garcke, Michael Griebel
Data mining with sparse grids using simplicial basis functions. KDD (2001)
Jochen Garcke, Michael Griebel, M. Thess
Data Mining with Sparse Grids. Computing 67 (3) (2001)
Jochen Garcke, Michael Griebel
On the Parallelization of the Sparse Grid Approach for Data Mining. LSSC (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jochen Garcke