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Bernhard Sendhoff
- > Home > Persons > Bernhard Sendhoff
Publications
- 2021
- [c123]Thiago Rios
, Bas van Stein
, Patricia Wollstadt, Thomas Bäck
, Bernhard Sendhoff, Stefan Menzel:
Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders. CEC 2021: 514-521 - [c115]Sneha Saha, Thiago Rios, Leandro L. Minku
, Bas van Stein
, Patricia Wollstadt, Xin Yao, Thomas Bäck
, Bernhard Sendhoff, Stefan Menzel:
Exploiting Generative Models for Performance Predictions of 3D Car Designs. SSCI 2021: 1-9 - 2020
- [c111]Thiago Rios
, Bas van Stein
, Stefan Menzel, Thomas Bäck
, Bernhard Sendhoff, Patricia Wollstadt:
Feature Visualization for 3D Point Cloud Autoencoders. IJCNN 2020: 1-9 - [c107]Thiago Rios
, Jiawen Kong, Bas van Stein
, Thomas Bäck
, Patricia Wollstadt, Bernhard Sendhoff, Stefan Menzel:
Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds. SSCI 2020: 942-949 - [c106]Sneha Saha, Stefan Menzel, Leandro L. Minku
, Xin Yao, Bernhard Sendhoff, Patricia Wollstadt:
Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds. SSCI 2020: 1469-1477 - 2019
- [c104]Sneha Saha, Thiago Rios
, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
, Xin Yao, Zhao Xu, Patricia Wollstadt:
Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks. ICDM Workshops 2019: 785-792 - [c100]Thiago Rios
, Patricia Wollstadt, Bas van Stein
, Thomas Bäck
, Zhao Xu, Bernhard Sendhoff, Stefan Menzel:
Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders. SSCI 2019: 1367-1374

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