Papers matching “deep learning surrogate model” 44
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Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Machine Learning and Data Classification Open access
Erfan Moeini, Christopher Vox, Marie Anastacio, Wadie Skaf, Mitra Baratchi, Holger H. Hoos
0citations -
When AI Bends Metal: AI-Assisted Optimization of Design Parameters in Sheet Metal Forming2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Ahmad Tarraf, Koutaiba El Rifai Kassem-Manthey, Philipp Martin, Lukas Moj, Semih Burak, Christian Terboven, +1 more
1citations -
Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes2023 Journal of Neural Engineering article Neuroscience Neuroscience and Neural Engineering Open access
Simone Romeni, Elena Losanno, Elisabeth Koert, Luca Pierantoni, Ignacio Delgado, Xavier Navarro, +1 more
15citations -
Investigation of the generalization capability of a generative adversarial network for large eddy simulation of turbulent premixed reacting flows2022 Proceedings of the Combustion Institute article Engineering Combustion and flame dynamics Open access
Ludovico Nista, Christoph Schumann, Temistocle Grenga, Antonio Attili, Heinz G. Pitsch
40citations -
Exploiting Generative Models for Performance Predictions of 3D Car Designs2021 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Engineering 3D Shape Modeling and Analysis Open access cited by 3 patents
Sneha Saha, Thiago Rios, Leandro Lei Minku, Bas van Stein, Patricia Wollstadt, Xin Yao, +3 more
11citations -
Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization2020 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Sibghat Ullah, Duc Anh Nguyen, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
17citations -
A framework for the robust optimization under uncertainty in additive manufacturing2023 Journal of Manufacturing Processes article Engineering Additive Manufacturing Materials and Processes
Thinh Quy Duc Pham, Truong‐Vinh Hoang, Seifallah Fetni, Laurent Duchêne, Hoang Son Tran, Anne Marie Habraken
15citations -
Data-driven adaptive approach integrating genetic algorithm and conditional generative adversarial network for minimizing earing formation in industrially rolled aluminium strips2026 Transactions of the Indian Institute of Metals article Materials Science Machine Learning in Materials Science Open access
Nilesh Thakare, Kai Karhausen, Holger Brüggemann, Emad Scharifi, Junhe Lian
0citations -
High-throughput parameter estimation from experimental data using Bayesian Inference with accelerated sampling2026 npj Computational Materials article Materials Science Machine Learning in Materials Science Open access
Basita Das, William Heymann, Yueming Wang, Uwe Rau, Thomas Kirchartz, Tonio Buonassisi
0citations -
CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation2024 The Journal of Machine Learning for Biomedical Imaging article Computer Science Generative Adversarial Networks and Image Synthesis Open access
Yunjie Chen, Marius Staring, Olaf M. Neve, Stephan R. Romeijn, Erik Frans Hensen, Berit M. Verbist, +2 more
6citations