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Thiago Rios
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2020 – today
- 2024
- [c12]Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong:
Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models. CEC 2024: 1-8 - [i3]Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong:
Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model. CoRR abs/2406.09143 (2024) - [i2]Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew Soon Ong:
LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking. CoRR abs/2406.14917 (2024) - 2023
- [c11]Thiago Rios, Stefan Menzel, Bernhard Sendhoff:
Large Language and Text-to-3D Models for Engineering Design Optimization. SSCI 2023: 1704-1711 - [i1]Thiago Rios, Stefan Menzel, Bernhard Sendhoff:
Large Language and Text-to-3D Models for Engineering Design Optimization. CoRR abs/2307.01230 (2023) - 2022
- [j1]Thiago Rios
, Bas van Stein
Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation. IEEE Trans. Evol. Comput. 26(2): 206-217 (2022) - 2021
- [c10]Thiago Rios, Bas van Stein
Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization. 3DV 2021: 1024-1033 - [c9]Thiago Rios
Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders. CEC 2021: 514-521 - [c8]Sneha Saha, Thiago Rios, Leandro L. Minku
Exploiting Generative Models for Performance Predictions of 3D Car Designs. SSCI 2021: 1-9 - 2020
- [c7]Thiago Rios
Feature Visualization for 3D Point Cloud Autoencoders. IJCNN 2020: 1-9 - [c6]Jiawen Kong, Thiago Rios, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck
On the Performance of Oversampling Techniques for Class Imbalance Problems. PAKDD (2) 2020: 84-96 - [c5]Thiago Rios
Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds. SSCI 2020: 942-949 - [d1]Jiawen Kong, Thiago Rios, Wojtek Kowalczyk
On the Performance of Oversampling Techniques for Class Imbalance Problems. Zenodo, 2020
2010 – 2019
- 2019
- [c4]Sneha Saha, Thiago Rios
Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks. ICDM Workshops 2019: 785-792 - [c3]Thiago Rios
On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization. SSCI 2019: 791-798 - [c2]Sneha Saha, Thiago Rios
Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior. SSCI 2019: 858-866 - [c1]Thiago Rios
Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders. SSCI 2019: 1367-1374
Coauthor Index
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