Jochen Garcke - RankMe

78 papers A* 3A 5B 3C 2Misc 5Journal 43Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Density-Aware Farthest Point Sampling. Trans. Mach. Learn. Res. Paolo Climaco, Jochen Garcke
2025	J	`jnl`	A modified SimRank++ approach for searching crash simulation data. Appl. Intell. Anahita Pakiman, Jochen Garcke, Axel Schumacher
2025	J	`jnl`	Density-Aware Farthest Point Sampling. CoRR Paolo Climaco, Jochen Garcke
2025	A	`conf`	Diversity in Reinforcement Learning Through the Occupancy Measure. GECCO Arno Feiden, Jochen Garcke
2025	J	`jnl`	Finite Differences on Sparse Grids for Continuous-Time Heterogeneous Agent Models. Algorithms Jochen Garcke, Steffen Ruttscheidt
2024	—	`conf`	Generalizing Diversity with the Signature Transform. GECCO Companion Arno Feiden, Biagio Paparella, Jochen Garcke
2024	A*	`conf`	Learning Crowd Behaviors in Navigation with Attention-based Spatial-Temporal Graphs. ICRA Yanying Zhou, Jochen Garcke
2024	J	`jnl`	Learning Crowd Behaviors in Navigation with Attention-based Spatial-Temporal Graphs. CoRR Yanying Zhou, Jochen Garcke
2024	J	`jnl`	On Minimizing the Training Set Fill Distance in Machine Learning Regression. J. Data-centric Mach. Learn. Res. Paolo Climaco, Jochen Garcke
2024	—	`conf`	Unsupervised Representation Learning for Diverse Deformable Shape Collections. 3DV Sara Hahner, Souhaib Attaiki, Jochen Garcke, Maks Ovsjanikov
2024	J	`jnl`	ptwt - The PyTorch Wavelet Toolbox. J. Mach. Learn. Res. Moritz Wolter, Felix Blanke, Jochen Garcke, Charles Tapley Hoyt
2023	J	`jnl`	Evolutionary Solution Adaption for Multi-Objective Metal Cutting Process Optimization. CoRR Léo Françoso Dal Piccol Sotto, Sebastian Mayer, Hemanth Janarthanam, Alexander Butz, Jochen Garcke
2023	J	`jnl`	Explainable Machine Learning. Mach. Learn. Knowl. Extr. Jochen Garcke, Ribana Roscher
2023	Misc	`conf`	Graph Extraction for Assisting Crash Simulation Data Analysis. ICCS Anahita Pakiman, Jochen Garcke, Axel Schumacher
2023	J	`jnl`	Graph Extraction for Assisting Crash Simulation Data Analysis. CoRR Anahita Pakiman, Jochen Garcke, Axel Schumacher
2023	B	`conf`	How Does Knowledge Injection Help in Informed Machine Learning? IJCNN Laura von Rüden, Jochen Garcke, Christian Bauckhage
2023	J	`jnl`	Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. IEEE Trans. Knowl. Data Eng. 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
2023	J	`jnl`	Investigating minimizing the training set fill distance in machine learning regression. CoRR Paolo Climaco, Jochen Garcke
2023	J	`jnl`	Knowledge discovery assistants for crash simulations with graph algorithms and energy absorption features. Appl. Intell. Anahita Pakiman, Jochen Garcke, Axel Schumacher
2023	J	`jnl`	On the Interplay of Subset Selection and Informed Graph Neural Networks. CoRR Niklas Breustedt, Paolo Climaco, Jochen Garcke, Jan Hamaekers, Gitta Kutyniok, Dirk A. Lorenz, Rick Oerder, Chirag Varun Shukla
2023	—	`conf`	Overcoming Deceptive Rewards with Quality-Diversity. GECCO Companion Arno Feiden, Jochen Garcke
2023	J	`jnl`	The Elements of Flexibility for Task-Performing Systems. IEEE Access Sebastian Mayer, Léo Françoso Dal Piccol Sotto, Jochen Garcke
2023	J	`jnl`	Unsupervised Representation Learning for Diverse Deformable Shape Collections. CoRR Sara Hahner, Souhaib Attaiki, Jochen Garcke, Maks Ovsjanikov
2022	B	`conf`	Canonical convolutional neural networks. IJCNN Lokesh Veeramacheneni, Moritz Wolter, Reinhard Klein, Jochen Garcke
2022	J	`jnl`	Canonical convolutional neural networks. CoRR Lokesh Veeramacheneni, Moritz Wolter, Reinhard Klein, Jochen Garcke
2022	—	`conf`	Graph Modeling in Computer Assisted Automotive Development. ICKG Anahita Pakiman, Jochen Garcke
2022	J	`jnl`	Graph Modeling in Computer Assisted Automotive Development. CoRR Anahita Pakiman, Jochen Garcke
2022	A	`conf`	Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes. WACV Sara Hahner, Jochen Garcke
2022	J	`jnl`	The elements of flexibility for task-performing systems. CoRR Sebastian Mayer, Léo Françoso Dal Piccol Sotto, Jochen Garcke
2022	—	`conf`	The pole balancing problem from the viewpoint of system flexibility. GECCO Companion Léo Françoso Dal Piccol Sotto, Sebastian Mayer, Jochen Garcke
2022	—	`conf`	Transfer Learning Using Spectral Convolutional Autoencoders on Semi-Regular Surface Meshes. LoG Sara Hahner, Felix Kerkhoff, Jochen Garcke
2022	J	`jnl`	Transfer Learning using Spectral Convolutional Autoencoders on Semi-Regular Surface Meshes. CoRR Sara Hahner, Felix Kerkhoff, Jochen Garcke
2022	J	`jnl`	Wavelet-packets for deepfake image analysis and detection. Mach. Learn. Moritz Wolter, Felix Blanke, Raoul Heese, Jochen Garcke
2021	A	`conf`	Adaptive wavelet pooling for convolutional neural networks. AISTATS Moritz Wolter, Jochen Garcke
2021	—	`conf`	Decision Support by Interpretable Machine Learning in Acoustic Emission Based Cutting Tool Wear Prediction. IEEM Arno Schmetz, Christopher Vahl, Zhen Zhen, Daniel Reibert, Sebastian Mayer, Daniel Zontar, Jochen Garcke, Christian Brecher
2021	J	`jnl`	Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes. CoRR Sara Hahner, Jochen Garcke
2021	J	`jnl`	R-SARL: Crowd-aware Navigation Based Deep Reinforcement Learning for Nonholonomic Robot in Complex Environments. CoRR Yanying Zhou, Shijie Li, Jochen Garcke
2021	J	`jnl`	Wavelet-Packet Powered Deepfake Image Detection. CoRR Moritz Wolter, Felix Blanke, Charles Tapley Hoyt, Jochen Garcke
2020	A	`conf`	A Compact Spectral Descriptor for Shape Deformations. ECAI Skylar Sible, Rodrigo Iza-Teran, Jochen Garcke, Nikola Aulig, Patricia Wollstadt
2020	J	`jnl`	A Compact Spectral Descriptor for Shape Deformations. CoRR Skylar Sible, Rodrigo Iza-Teran, Jochen Garcke, Nikola Aulig, Patricia Wollstadt
2020	—	`conf`	Analysis and Prediction of Deforming 3D Shapes Using Oriented Bounding Boxes and LSTM Autoencoders. ICANN (1) Sara Hahner, Rodrigo Iza-Teran, Jochen Garcke
2020	J	`jnl`	Analysis and Prediction of Deforming 3D Shapes using Oriented Bounding Boxes and LSTM Autoencoders. CoRR Sara Hahner, Rodrigo Iza-Teran, Jochen Garcke
2020	B	`conf`	Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions. IDA Laura von Rüden, Sebastian Mayer, Rafet Sifa, Christian Bauckhage, Jochen Garcke
2020	J	`jnl`	Explainable Machine Learning for Scientific Insights and Discoveries. IEEE Access Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke
2019	J	`jnl`	A Geometrical Method for Low-Dimensional Representations of Simulations. CoRR Rodrigo Iza-Teran, Jochen Garcke
2019	J	`jnl`	A Geometrical Method for Low-Dimensional Representations of Simulations. SIAM/ASA J. Uncertain. Quantification Rodrigo Iza-Teran, Jochen Garcke
2019	J	`jnl`	Explainable Machine Learning for Scientific Insights and Discoveries. CoRR Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke
2019	J	`jnl`	Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning. CoRR Laura von Rüden, Sebastian Mayer, Jochen Garcke, Christian Bauckhage, Jannis Schücker
2018	C	`conf`	Event-Triggered Learning for Resource-Efficient Networked Control. ACC Friedrich Solowjow, Dominik Baumann, Jochen Garcke, Sebastian Trimpe
2018	J	`jnl`	Event-triggered Learning for Resource-efficient Networked Control. CoRR Friedrich Solowjow, Dominik Baumann, Jochen Garcke, Sebastian Trimpe
2017	—	`ch.`	Dimensionality Reduction for the Analysis of Time Series Data from Wind Turbines. Scientific Computing and Algorithms in Industrial Simulations Jochen Garcke, Rodrigo Iza-Teran, Marvin Marks, Mandar Pathare, Dirk Schollbach, Martin Stettner
2017	—	`ch.`	Energy-Efficiency and Performance Comparison of Aerosol Optical Depth Retrieval on Distributed Embedded SoC Architectures. Scientific Computing and Algorithms in Industrial Simulations Dustin Feld, Jochen Garcke, Jia Liu, Eric Schricker, Thomas Soddemann, Yong Xue
2017	—	`ch.`	ModelCompare. Scientific Computing and Algorithms in Industrial Simulations Jochen Garcke, Mandar Pathare, Nikhil Prabakaran
2017	J	`jnl`	Suboptimal Feedback Control of PDEs by Solving HJB Equations on Adaptive Sparse Grids. J. Sci. Comput. Jochen Garcke, Axel Kröner
2016	J	`jnl`	A sparse grid based method for generative dimensionality reduction of high-dimensional data. J. Comput. Phys. Bastian Bohn, Jochen Garcke, Michael Griebel
2016	J	`jnl`	Advancing a Gateway Infrastructure for Wind Turbine Data Analysis. J. Grid Comput. Alvaro Aguilera, Richard Grunzke, Dirk Habich, Johannes Luong, Dirk Schollbach, Ulf Markwardt, Jochen Garcke
2016	J	`jnl`	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 Jia Liu, Dustin Feld, Yong Xue, Jochen Garcke, Thomas Soddemann, Peiyuan Pan
2015	J	`jnl`	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. Jia Liu, Dustin Feld, Yong Xue, Jochen Garcke, Thomas Soddemann
2015	J	`jnl`	VAVID - Handling Big Data. ERCIM News Jochen Garcke
2014	—	`conf`	Data Analytics for Simulation Repositories in Industry. GI-Jahrestagung Rodrigo Iza-Teran, Jochen Garcke
2014	—	`conf`	Importance Weighted Inductive Transfer Learning for Regression. ECML/PKDD (1) Jochen Garcke, Thomas Vanck
2013	J	`jnl`	An Adaptive Sparse Grid Semi-Lagrangian Scheme for First Order Hamilton-Jacobi Bellman Equations. J. Sci. Comput. Olivier Bokanowski, Jochen Garcke, Michael Griebel, Irene Klompmaker
2013	Misc	`conf`	Analysis of Car Crash Simulation Data with Nonlinear Machine Learning Methods. ICCS Bastian Bohn, Jochen Garcke, Rodrigo Iza-Teran, Alexander Paprotny, Benjamin Peherstorfer, Ulf Schepsmeier, Clemens-August Thole
2013	C	`conf`	Using Hyperbolic Cross Approximation to measure and compensate Covariate Shift. ACML Thomas Vanck, Jochen Garcke
2012	A	`conf`	On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap. AISTATS Alexander Paprotny, Jochen Garcke
2010	—	`conf`	Classification with Sums of Separable Functions. ECML/PKDD (1) Jochen Garcke
2009	Misc	`conf`	A Dimension Adaptive Combination Technique Using Localised Adaptation Criteria. HPSC Jochen Garcke
2009	J	`jnl`	Fitting multidimensional data using gradient penalties and the sparse grid combination technique. Computing Jochen Garcke, Markus Hegland
2009	J	`jnl`	Multivariate Regression and Machine Learning with Sums of Separable Functions. SIAM J. Sci. Comput. Gregory Beylkin, Jochen Garcke, Martin J. Mohlenkamp
2007	—	`conf`	Approximating Gaussian Processes with ECML Steffen Börm, Jochen Garcke
2006	Misc	`conf`	Fitting Multidimensional Data Using Gradient Penalties and Combination Techniques. HPSC Jochen Garcke, Markus Hegland
2006	A*	`conf`	Regression with the optimised combination technique. ICML Jochen Garcke
2004	—	`—`	Maschinelles Lernen durch Funktionsrekonstruktion mit verallgemeinerten dünnen Gittern. Jochen Garcke
2003	Misc	`conf`	Parallelisation of Sparse Grids for Large Scale Data Analysis. International Conference on Computational Science Jochen Garcke, Markus Hegland, Ole Møller Nielsen
2002	J	`jnl`	Classification with sparse grids using simplicial basis functions. Intell. Data Anal. Jochen Garcke, Michael Griebel
2001	J	`jnl`	Data Mining with Sparse Grids. Computing Jochen Garcke, Michael Griebel, M. Thess
2001	A*	`conf`	Data mining with sparse grids using simplicial basis functions. KDD Jochen Garcke, Michael Griebel
2001	—	`conf`	On the Parallelization of the Sparse Grid Approach for Data Mining. LSSC Jochen Garcke, Michael Griebel