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On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization.

, , , , and . SSCI, page 791-798. IEEE, (2019)

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Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation., , , , and . IEEE Trans. Evol. Comput., 26 (2): 206-217 (2022)Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders., , , , , and . CEC, page 514-521. IEEE, (2021)Exploiting Generative Models for Performance Predictions of 3D Car Designs., , , , , , , , and . SSCI, page 1-9. IEEE, (2021)Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks., , , , , , , and . ICDM Workshops, page 785-792. IEEE, (2019)On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization., , , , and . SSCI, page 791-798. IEEE, (2019)Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization., , , , and . 3DV, page 1024-1033. IEEE, (2021)Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds., , , , , , and . SSCI, page 942-949. IEEE, (2020)Feature Visualization for 3D Point Cloud Autoencoders., , , , , and . IJCNN, page 1-9. IEEE, (2020)Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders., , , , , , and . SSCI, page 1367-1374. IEEE, (2019)On the Performance of Oversampling Techniques for Class Imbalance Problems., , , , and . PAKDD (2), volume 12085 of Lecture Notes in Computer Science, page 84-96. Springer, (2020)