| Deep generative models in engineering design: A review L Regenwetter, AH Nobari, F Ahmed Journal of Mechanical Design 144 (7), 071704, 2022 | 274 | 2022 |
| BIKED: A dataset for computational bicycle design with machine learning benchmarks L Regenwetter, B Curry, F Ahmed Journal of Mechanical Design 144 (3), 031706, 2022 | 52 | 2022 |
| Beyond statistical similarity: Rethinking metrics for deep generative models in engineering design L Regenwetter, A Srivastava, D Gutfreund, F Ahmed Computer-Aided Design 165, 103609, 2023 | 38 | 2023 |
| FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames L Regenwetter, C Weaver, F Ahmed Available at SSRN 4132282, 0 | 25* | |
| Low porosity, high areal-capacity Prussian blue analogue electrodes enhance salt removal and thermodynamic efficiency in symmetric Faradaic deionization with automated fluid … ER Reale, L Regenwetter, A Agrawal, B Dardón, N Dicola, S Sanagala, ... Water Research X 13, 100116, 2021 | 19 | 2021 |
| BIKED: A dataset and machine learning benchmarks for data-driven bicycle design L Regenwetter, B Curry, F Ahmed International Design Engineering Technical Conferences and Computers and …, 2021 | 16 | 2021 |
| Constraining Generative Models for Engineering Design with Negative Data L Regenwetter, G Giannone, A Srivastava, D Gutfreund, F Ahmed Transactions on Machine Learning Research, 2024 | 14* | 2024 |
| Design target achievement index: A differentiable metric to enhance deep generative models in multi-objective inverse design L Regenwetter, F Ahmed International Design Engineering Technical Conferences and Computers and …, 2022 | 11 | 2022 |
| Multi-Objective Counterfactuals for Design: A Model-Agnostic Counterfactual Search Method for Multi-Modal Design Modifications L Regenwetter, Y Abu Obaideh, F Ahmed Journal of Mechanical Design 147 (2), 2025 | 8* | 2025 |
| Towards goal, feasibility, and diversity-oriented deep generative models in design L Regenwetter, F Ahmed arXiv preprint arXiv:2206.07170, 2022 | 6 | 2022 |
| NITO: Neural implicit fields for resolution-free topology optimization AH Nobari, G Giannone, L Regenwetter, F Ahmed arXiv preprint arXiv:2402.05073, 2024 | 5* | 2024 |
| Data-driven bicycle design using performance-aware deep generative models L Regenwetter Massachusetts Institute of Technology, 2022 | 5 | 2022 |
| Generative Optimization: A Perspective on AI-Enhanced Problem Solving in Engineering C Picard, L Regenwetter, AH Nobari, A Srivastava, F Ahmed arXiv preprint arXiv:2412.13281, 2024 | 1 | 2024 |
| Biked++: A multimodal dataset of 1.4 million bicycle image and parametric cad designs L Regenwetter, YA Obaideh, AH Nobari, F Ahmed arXiv preprint arXiv:2402.05301, 2024 | 1 | 2024 |
| Towards Domain-Adaptive, Resolution-Free 3D Topology Optimization With Neural Implicit Fields A Heyrani Nobari, L Regenwetter, F Ahmed International Design Engineering Technical Conferences and Computers and …, 2024 | | 2024 |
Faez AhmedABS Assistant Professor, MITOverená e-mailová adresa na: mit.edu
