Lyle Regenwetter

19 papers Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Engineering Regression Without Real-Data Training: Domain Adaptation for Tabular Foundation Models Using Multi-Dataset Embeddings.
CoRR
Lyle Regenwetter, Rosen Yu, Cyril Picard, Faez Ahmed
2025 J jnl
Bike-Bench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints.
CoRR
Lyle Regenwetter, Yazan Abu Obaideh, Fabien Chiotti, Ioanna Lykourentzou, Faez Ahmed
2025 J jnl
NITO: Neural Implicit Fields for Resolution-free and Domain-Adaptable Topology Optimization.
Trans. Mach. Learn. Res.
Amin Heyrani Nobari, Lyle Regenwetter, Giorgio Giannone, Faez Ahmed
2025 J jnl
Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization.
CoRR
Amin Heyrani Nobari, Lyle Regenwetter, Cyril Picard, Ligong Han, Faez Ahmed
2024 J jnl
BIKED++: A Multimodal Dataset of 1.4 Million Bicycle Image and Parametric CAD Designs.
CoRR
Lyle Regenwetter, Yazan Abu Obaideh, Amin Heyrani Nobari, Faez Ahmed
2024 J jnl
Constraining Generative Models for Engineering Design with Negative Data.
Trans. Mach. Learn. Res.
Lyle Regenwetter, Giorgio Giannone, Akash Srivastava, Dan Gutfreund, Faez Ahmed
2024 — conf
From Positive to Negative: On the Role of Negative Data in Enhancing Generative Models for Engineering Constraint Satisfaction.
DDDAS/Infosymbiotics
Lyle Regenwetter, Faez Ahmed
2024 J jnl
Generative Optimization: A Perspective on AI-Enhanced Problem Solving in Engineering.
CoRR
Cyril Picard, Lyle Regenwetter, Amin Heyrani Nobari, Akash Srivastava, Faez Ahmed
2024 J jnl
NITO: Neural Implicit Fields for Resolution-free Topology Optimization.
CoRR
Amin Heyrani Nobari, Giorgio Giannone, Lyle Regenwetter, Faez Ahmed
2023 J jnl
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design.
Comput. Aided Des.
Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed
2023 J jnl
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design.
CoRR
Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed
2023 J jnl
Counterfactuals for Design: A Model-Agnostic Method For Design Recommendations.
CoRR
Lyle Regenwetter, Yazan Abu Obaideh, Faez Ahmed
2023 J jnl
FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames.
Comput. Aided Des.
Lyle Regenwetter, Colin Weaver, Faez Ahmed
2023 J jnl
Learning from Invalid Data: On Constraint Satisfaction in Generative Models.
CoRR
Giorgio Giannone, Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed
2022 J jnl
Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design.
CoRR
Lyle Regenwetter, Faez Ahmed
2022 J jnl
FRAMED: Data-Driven Structural Performance Analysis of Community-Designed Bicycle Frames.
CoRR
Lyle Regenwetter, Colin Weaver, Faez Ahmed
2022 J jnl
Towards Goal, Feasibility, and Diversity-Oriented Deep Generative Models in Design.
CoRR
Lyle Regenwetter, Faez Ahmed
2021 J jnl
BIKED: A Dataset and Machine Learning Benchmarks for Data-Driven Bicycle Design.
CoRR
Lyle Regenwetter, Brent Curry, Faez Ahmed
2021 J jnl
Deep Generative Models in Engineering Design: A Review.
CoRR
Lyle Regenwetter, Amin Heyrani Nobari, Faez Ahmed