Papers matching “high-dimensional problems” 11
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High-Dimensional Confidence Regions in Sparse MRI2023 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Mathematics Statistical Methods and Inference Open access
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion Irene Menzel, Holger Rauhut
5citations -
Interpreting Black-box Machine Learning Models for High Dimensional Datasets2023 IEEE International Conference on Data Science and Advanced Analytics (DSAA) conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access
Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, +1 more
19citations -
Does Dimensionality Reduction via Random Projections preserve Landscape Features?2026 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access
Iván Olarte Rodríguez, Anja Jankovič, Thomas Bäck, Elena Raponi
1citations -
Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space2023 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Alejandro Marrero, Eduardo Segredo, Emma Hart, Jakob Bossek, Aneta Neumann
6citations -
Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders2021 IEEE Congress on Evolutionary Computation (CEC) conference-paper Engineering 3D Shape Modeling and Analysis
Thiago Rios, Bas van Stein, Patricia Wollstadt, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
13citations -
Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses2023 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Reinforcement Learning in Robotics
Hongzhuo Liang, Cong Lin, Jianzhi Lyu, Pingfa Feng, Jianwei Zhang
25citations -
Sampling Strategies for Compressive Imaging Under Statistical Noise2023 International Conference on Sampling Theory and Applications conference-paper Engineering Sparse and Compressive Sensing Techniques
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion Irene Menzel, Holger Rauhut
1citations
11 results