Jochen Garcke
Orcid: 0000-0002-8334-3695
According to our database1,
Jochen Garcke
authored at least 57 papers
between 2001 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
2023
Knowledge discovery assistants for crash simulations with graph algorithms and energy absorption features.
Appl. Intell., August, 2023
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems.
IEEE Trans. Knowl. Data Eng., 2023
CoRR, 2023
Investigating minimizing the training set fill distance in machine learning regression.
CoRR, 2023
Evolutionary Solution Adaption for Multi-Objective Metal Cutting Process Optimization.
CoRR, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Graph-Based Representation and Reasoning, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Transfer Learning Using Spectral Convolutional Autoencoders on Semi-Regular Surface Meshes.
Proceedings of the Learning on Graphs Conference, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the IEEE International Conference on Knowledge Graph, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
R-SARL: Crowd-aware Navigation Based Deep Reinforcement Learning for Nonholonomic Robot in Complex Environments.
CoRR, 2021
Decision Support by Interpretable Machine Learning in Acoustic Emission Based Cutting Tool Wear Prediction.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
IEEE Access, 2020
Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020
Analysis and Prediction of Deforming 3D Shapes Using Oriented Bounding Boxes and LSTM Autoencoders.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
SIAM/ASA J. Uncertain. Quantification, 2019
Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning.
CoRR, 2019
2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Suboptimal Feedback Control of PDEs by Solving HJB Equations on Adaptive Sparse Grids.
J. Sci. Comput., 2017
Proceedings of the Scientific Computing and Algorithms in Industrial Simulations, 2017
Proceedings of the Scientific Computing and Algorithms in Industrial Simulations, 2017
Energy-Efficiency and Performance Comparison of Aerosol Optical Depth Retrieval on Distributed Embedded SoC Architectures.
Proceedings of the Scientific Computing and Algorithms in Industrial Simulations, 2017
2016
A sparse grid based method for generative dimensionality reduction of high-dimensional data.
J. Comput. Phys., 2016
J. Grid Comput., 2016
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, 2016
2015
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., 2015
2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the 44. Jahrestagung der Gesellschaft für Informatik, Big Data, 2014
2013
An Adaptive Sparse Grid Semi-Lagrangian Scheme for First Order Hamilton-Jacobi Bellman Equations.
J. Sci. Comput., 2013
Proceedings of the International Conference on Computational Science, 2013
Proceedings of the Asian Conference on Machine Learning, 2013
2012
On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
2009
SIAM J. Sci. Comput., 2009
Fitting multidimensional data using gradient penalties and the sparse grid combination technique.
Computing, 2009
Proceedings of the Modeling, 2009
2007
Proceedings of the Machine Learning: ECML 2007, 2007
2006
Proceedings of the Machine Learning, 2006
Proceedings of the Modeling, 2006
2004
Maschinelles Lernen durch Funktionsrekonstruktion mit verallgemeinerten dünnen Gittern.
PhD thesis, 2004
2003
Proceedings of the Computational Science - ICCS 2003, 2003
2002
Intell. Data Anal., 2002
2001
Proceedings of the Large-Scale Scientific Computing, Third International Conference, 2001
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001