Thiago Rios

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Laplace Beltrami

Evolutionary Optimization

Top Venues

IEEE Trans. Evol. Comput.

Publications

Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong
Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models. CEC (2024)
Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong
Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model. CoRR (2024)
Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew Soon Ong
LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking. CoRR (2024)
Thiago Rios, Stefan Menzel, Bernhard Sendhoff
Large Language and Text-to-3D Models for Engineering Design Optimization. SSCI (2023)
Thiago Rios, Stefan Menzel, Bernhard Sendhoff
Large Language and Text-to-3D Models for Engineering Design Optimization. CoRR (2023)
Thiago Rios, Bas van Stein, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation. IEEE Trans. Evol. Comput. 26 (2) (2022)
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)
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)
Thiago Rios, Bas van Stein, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization. 3DV (2021)
Thiago Rios, Bas van Stein, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff, Patricia Wollstadt
Feature Visualization for 3D Point Cloud Autoencoders. IJCNN (2020)
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)
Jiawen Kong, Thiago Rios, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck
On the Performance of Oversampling Techniques for Class Imbalance Problems. PAKDD (2) (2020)
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)
Sneha Saha, Thiago Rios, Leandro L. Minku, Xin Yao, Zhao Xu, Bernhard Sendhoff, Stefan Menzel
Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior. SSCI (2019)
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)
Thiago Rios, Bernhard Sendhoff, Stefan Menzel, Thomas Bäck, Bas van Stein
On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization. SSCI (2019)