FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames

25 January 2022

Papers citing "FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames"

7 / 7 papers shown

Title
BIKED++: A Multimodal Dataset of 1.4 Million Bicycle Image and Parametric CAD Designs Lyle Regenwetter Yazan Abu Obaideh A. Nobari Faez Ahmed 16 2 0 07 Feb 2024
A Data-driven Recommendation Framework for Optimal Walker Designs A. Narayanan 17 0 0 28 Oct 2023
MCD: A Model-Agnostic Counterfactual Search Method For Multi-modal Design Modifications Lyle Regenwetter Yazan Abu Obaideh Faez Ahmed 21 2 0 18 May 2023
Ship-D: Ship Hull Dataset for Design Optimization using Machine Learning Noah J. Bagazinski Faez Ahmed AI4CE 16 7 0 14 May 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design Lyle Regenwetter Akash Srivastava Dan Gutfreund Faez Ahmed 18 28 0 06 Feb 2023
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 97 607 0 13 Mar 2020
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain Zhenguo Nie Tong Lin Haoliang Jiang L. Kara AI4CE 103 168 0 05 Mar 2020