Engineering Regression Without Real-Data Training: Domain Adaptation for Tabular Foundation Models Using Multi-Dataset Embeddings.

Lyle Regenwetter https://orcid.org/0000-0002-8769-0037

Lyle Regenwetter Rosen Yu Cyril Picard Faez Ahmed Engineering Regression Without Real-Data Training: Domain Adaptation for Tabular Foundation Models Using Multi-Dataset Embeddings. 2026 March abs/2603.04692 CoRR https://doi.org/10.48550/arXiv.2603.04692 db/journals/corr/corr2603.html#abs-2603-04692 streams/journals/corr

Amin Heyrani Nobari Lyle Regenwetter Giorgio Giannone Faez Ahmed NITO: Neural Implicit Fields for Resolution-free and Domain-Adaptable Topology Optimization. 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=XHXAvACdgv db/journals/tmlr/tmlr2025.html#NobariRGA25

Lyle Regenwetter Yazan Abu Obaideh Fabien Chiotti Ioanna Lykourentzou Faez Ahmed Bike-Bench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints. 2025 August abs/2508.00830 CoRR https://doi.org/10.48550/arXiv.2508.00830 db/journals/corr/corr2508.html#abs-2508-00830 streams/journals/corr

Amin Heyrani Nobari Lyle Regenwetter Cyril Picard Ligong Han Faez Ahmed Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization. 2025 October abs/2510.23667 CoRR https://doi.org/10.48550/arXiv.2510.23667 db/journals/corr/corr2510.html#abs-2510-23667 streams/journals/corr

Lyle Regenwetter Giorgio Giannone Akash Srivastava Dan Gutfreund Faez Ahmed Constraining Generative Models for Engineering Design with Negative Data. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=FNBv2vweBI db/journals/tmlr/tmlr2024.html#RegenwetterGSGA24

Lyle Regenwetter Faez Ahmed From Positive to Negative: On the Role of Negative Data in Enhancing Generative Models for Engineering Constraint Satisfaction. 428-439 2024 DDDAS/Infosymbiotics https://doi.org/10.1007/978-3-031-94895-4_44 conf/dddas/2024 db/conf/dddas/dddas2024.html#RegenwetterA24 streams/conf/dddas

Amin Heyrani Nobari Giorgio Giannone Lyle Regenwetter Faez Ahmed NITO: Neural Implicit Fields for Resolution-free Topology Optimization. 2024 abs/2402.05073 CoRR https://doi.org/10.48550/arXiv.2402.05073 db/journals/corr/corr2402.html#abs-2402-05073

Lyle Regenwetter Yazan Abu Obaideh Amin Heyrani Nobari Faez Ahmed BIKED++: A Multimodal Dataset of 1.4 Million Bicycle Image and Parametric CAD Designs. 2024 abs/2402.05301 CoRR https://doi.org/10.48550/arXiv.2402.05301 db/journals/corr/corr2402.html#abs-2402-05301

Cyril Picard Lyle Regenwetter Amin Heyrani Nobari Akash Srivastava Faez Ahmed Generative Optimization: A Perspective on AI-Enhanced Problem Solving in Engineering. 2024 abs/2412.13281 CoRR https://doi.org/10.48550/arXiv.2412.13281 db/journals/corr/corr2412.html#abs-2412-13281 streams/journals/corr

Lyle Regenwetter Colin Weaver Faez Ahmed FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames. 103446 2023 March 156 Comput. Aided Des. https://doi.org/10.1016/j.cad.2022.103446 db/journals/cad/cad156.html#RegenwetterWA23

Lyle Regenwetter Akash Srivastava Dan Gutfreund Faez Ahmed Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design. 103609 2023 December 165 Comput. Aided Des. https://doi.org/10.1016/j.cad.2023.103609 db/journals/cad/cad165.html#RegenwetterSGA23

Lyle Regenwetter Akash Srivastava Dan Gutfreund Faez Ahmed Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design. 2023 abs/2302.02913 CoRR https://doi.org/10.48550/arXiv.2302.02913 db/journals/corr/corr2302.html#abs-2302-02913

Lyle Regenwetter Yazan Abu Obaideh Faez Ahmed Counterfactuals for Design: A Model-Agnostic Method For Design Recommendations. 2023 abs/2305.11308 CoRR https://doi.org/10.48550/arXiv.2305.11308 db/journals/corr/corr2305.html#abs-2305-11308

Giorgio Giannone Lyle Regenwetter Akash Srivastava Dan Gutfreund Faez Ahmed Learning from Invalid Data: On Constraint Satisfaction in Generative Models. 2023 abs/2306.15166 CoRR https://doi.org/10.48550/arXiv.2306.15166 db/journals/corr/corr2306.html#abs-2306-15166

Lyle Regenwetter Colin Weaver Faez Ahmed FRAMED: Data-Driven Structural Performance Analysis of Community-Designed Bicycle Frames. 2022 abs/2201.10459 CoRR https://arxiv.org/abs/2201.10459 db/journals/corr/corr2201.html#abs-2201-10459

Lyle Regenwetter Faez Ahmed Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design. 2022 abs/2205.03005 CoRR https://doi.org/10.48550/arXiv.2205.03005 db/journals/corr/corr2205.html#abs-2205-03005

Lyle Regenwetter Faez Ahmed Towards Goal, Feasibility, and Diversity-Oriented Deep Generative Models in Design. 2022 abs/2206.07170 CoRR https://doi.org/10.48550/arXiv.2206.07170 db/journals/corr/corr2206.html#abs-2206-07170

Lyle Regenwetter Brent Curry Faez Ahmed BIKED: A Dataset and Machine Learning Benchmarks for Data-Driven Bicycle Design. 2021 abs/2103.05844 CoRR https://arxiv.org/abs/2103.05844 db/journals/corr/corr2103.html#abs-2103-05844

Lyle Regenwetter Amin Heyrani Nobari Faez Ahmed Deep Generative Models in Engineering Design: A Review. 2021 abs/2110.10863 CoRR https://arxiv.org/abs/2110.10863 db/journals/corr/corr2110.html#abs-2110-10863

Faez Ahmed Fabien Chiotti Brent Curry Giorgio Giannone Dan Gutfreund Ligong Han Ioanna Lykourentzou Amin Heyrani Nobari Yazan Abu Obaideh Cyril Picard Akash Srivastava Colin Weaver Rosen Yu