Sneha Saha

According to our database, Sneha Saha authored at least 7 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Learning-based generative representations for automotive design optimization.

Sneha Saha

PhD thesis, 2023

2022

Split-AE: An Autoencoder-based Disentanglement Framework for 3D Shape-to-shape Feature Transfer.

Sneha Saha, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Stefan Menzel

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Exploiting Generative Models for Performance Predictions of 3D Car Designs.

Sneha Saha, Thiago Rios, Leandro L. Minku, Bas van Stein, Patricia Wollstadt, Xin Yao, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Exploiting Linear Interpolation of Variational Autoencoders for Satisfying Preferences in Evolutionary Design Optimization.

Sneha Saha, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Stefan Menzel

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds.

Sneha Saha, Stefan Menzel, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Patricia Wollstadt

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019

Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior.

Sneha Saha, Thiago Rios, Leandro L. Minku, Xin Yao, Zhao Xu, Bernhard Sendhoff, Stefan Menzel

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks.

Sneha Saha, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck, Xin Yao, Zhao Xu, Patricia Wollstadt

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019