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Thiago Rios
Thiago Rios
Scientist, Honda Research Institute Europe GmbH
Verified email at honda-ri.de
Title
Cited by
Cited by
Year
Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation
T Rios, B van Stein, T Bäck, B Sendhoff, S Menzel
IEEE Transactions on Evolutionary Computation 26 (2), 206-217, 2021
222021
Feature Visualization for 3D Point Cloud Autoencoders
T Rios, B van Stein, S Menzel, T Back, B Sendhoff, P Wollstadt
2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020
212020
On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization
T Rios, T Bäck, B van Stein, B Sendhoff, S Menzel
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 791-798, 2019
212019
On the performance of oversampling techniques for class imbalance problems
J Kong, T Rios, W Kowalczyk, S Menzel, T Bäck
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 84-96, 2020
162020
Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders
T Rios, P Wollstadt, B van Stein, T Bäck, Z Xu, B Sendhoff, S Menzel
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1367-1374, 2019
122019
Exploiting Generative Models for Performance Predictions of 3D Car Designs
S Saha, T Rios, LL Minku, BV Stein, P Wollstadt, X Yao, T Back, ...
2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-9, 2021
112021
Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders
T Rios, B van Stein, P Wollstadt, T Bäck, B Sendhoff, S Menzel
2021 IEEE Congress on Evolutionary Computation (CEC), 514-521, 2021
82021
Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization
T Rios, B Van Stein, T Bäck, B Sendhoff, S Menzel
2021 International Conference on 3D Vision (3DV), 1024-1033, 2021
52021
Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds
T Rios, J Kong, B van Stein, T Bäck, P Wollstadt, B Sendhoff, S Menzel
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 942-949, 2020
42020
Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks
S Saha, T Rios, S Menzel, B Sendhoff, T Bäck, X Yao, Z Xu, P Wollstadt
2019 International Conference on Data Mining Workshops (ICDMW), 785-792, 2019
32019
Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior
S Saha, T Rios, LL Minku, X Yao, Z Xu, B Sendhoff, S Menzel
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 858-866, 2019
22019
Large Language and Text-to-3D Models for Engineering Design Optimization
T Rios, S Menzel, B Sendhoff
2023 IEEE Symposium Series on Computational Intelligence (SSCI), 1704-1711, 2023
12023
Learning hyperparameter predictors for similarity-based multidisciplinary topology optimization
M Bujny, MS Yousaf, N Zurbrugg, D Detwiler, S Menzel, S Ramnath, ...
Scientific Reports 13 (1), 14856, 2023
12023
A modularized level set topology optimization methodology for vibro-acoustic problems
A Neofytou, J Hyun, M Bujny, T Rios, S Menzel, HA Kim
AIAA SCITECH 2023 Forum, 0974, 2023
12023
D1. 1–Engineering Data and Descriptors
T Rios, S Menzel, B Sendhoff–HRI-EU
2020
Development of a fuel-saving algorithm for a vehicle's driver assistant system
TJA Rios
2018
Deliverable D1. 3 Multi-domain Optimization based on Online and Offline Experience Exploitation for Dynamic Environments
T Rios, S Saha, S Menzel, B Sendhoff–HRI-EU
SPECIAL ISSUE ON MULTITASK EVOLUTIONARY COMPUTATION
T Rios, B van Stein, T Bäck, B Sendhoff, S Menzel, AD Martinez, J Del Ser, ...
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