surrogate models - Robuta Search

https://www.llnl.gov/article/46491/deep-learning-based-surrogate-models-outperform-simulators-could-hasten-scientific-discoveries Deep learning-based surrogate models outperform simulators and could hasten scientific discoveries... Surrogate models supported by neural networks can perform as well, and in some ways better, than computationally expensive simulators and could lead to new... deep learning surrogate models https://arxiv.org/abs/2310.07698 [2310.07698] SurroCBM: Concept Bottleneck Surrogate Models for Generative Post-hoc Explanation Abstract page for arXiv paper 2310.07698: SurroCBM: Concept Bottleneck Surrogate Models for Generative Post-hoc Explanation surrogate models https://www.sandia.gov/research/publications/details/machine-learned-surrogate-models-for-threaded-fastener-geometries-subjected-2022-10-01/ Machine-Learned Surrogate Models for Threaded Fastener Geometries Subjected to Multiaxial Loadings... machine learned surrogate models threaded fastener https://www.sintef.no/en/digital/master-students/controlled-surrogate-models-in-industrial-settings/ Controlled surrogate models in industrial settings - SINTEF Large simulations are time consuming and cannot be applied real-time in control settings. Instead, we develop machine learning-based surrogate models with... surrogate models controlled industrial settings sintef https://openreview.net/forum?id=PZJssYc6sr Efficient Estimation of Kernel Surrogate Models for Task Attribution | OpenReview Modern AI agents such as large language models are trained on diverse tasks---translation, code generation, mathematical reasoning, and text... surrogate models efficient estimation kernel task https://www.aanda.org/articles/aa/full_html/2026/04/aa58937-26/aa58937-26.html Systematic selection of surrogate models for nonequilibrium chemistry | Astronomy & Astrophysics... surrogate models systematic selection nonequilibrium chemistry https://warwick.ac.uk/fac/sci/eng/postgraduate/funding/?newsItem=8ac672c59c51675d019c51abf32101c2 DC10 Development of deep learning-based surrogate models for predicting failure in meta-material... Feb 12, 2026 - School of Engineering Scholarships https://openreview.net/forum?id=yDaXL9oxHQ Optimizing the IFMIF-DONES Particle Accelerator with Differentiable Deep Learning Surrogate Models... In this work, Deep Learning Surrogate Models are employed to optimize the quadrupole values in the initial section of the High Energy Beam Transport Line of... particle accelerator