Lyle Regenwetter

According to our database, Lyle Regenwetter authored at least 16 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Bike-Bench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints.

Lyle Regenwetter, Yazan Abu Obaideh, Fabien Chiotti, Ioanna Lykourentzou, Faez Ahmed

CoRR, August, 2025

NITO: Neural Implicit Fields for Resolution-free and Domain-Adaptable Topology Optimization.

Amin Heyrani Nobari, Lyle Regenwetter, Giorgio Giannone, Faez Ahmed

Trans. Mach. Learn. Res., 2025

2024

Constraining Generative Models for Engineering Design with Negative Data.

Lyle Regenwetter, Giorgio Giannone, Akash Srivastava, Dan Gutfreund, Faez Ahmed

Trans. Mach. Learn. Res., 2024

Generative Optimization: A Perspective on AI-Enhanced Problem Solving in Engineering.

Cyril Picard, Lyle Regenwetter, Amin Heyrani Nobari, Akash Srivastava, Faez Ahmed

CoRR, 2024

BIKED++: A Multimodal Dataset of 1.4 Million Bicycle Image and Parametric CAD Designs.

Lyle Regenwetter, Yazan Abu Obaideh, Amin Heyrani Nobari, Faez Ahmed

CoRR, 2024

NITO: Neural Implicit Fields for Resolution-free Topology Optimization.

Amin Heyrani Nobari, Giorgio Giannone, Lyle Regenwetter, Faez Ahmed

CoRR, 2024

From Positive to Negative: On the Role of Negative Data in Enhancing Generative Models for Engineering Constraint Satisfaction.

Lyle Regenwetter, Faez Ahmed

Proceedings of the Dynamic Data Driven Applications Systems - 5th International Conference, 2024

2023

Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design.

Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed

Comput. Aided Des., December, 2023

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

Lyle Regenwetter, Colin Weaver, Faez Ahmed

Comput. Aided Des., March, 2023

Learning from Invalid Data: On Constraint Satisfaction in Generative Models.

Giorgio Giannone, Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed

CoRR, 2023

Counterfactuals for Design: A Model-Agnostic Method For Design Recommendations.

Lyle Regenwetter, Yazan Abu Obaideh, Faez Ahmed

CoRR, 2023

2022

Towards Goal, Feasibility, and Diversity-Oriented Deep Generative Models in Design.

Lyle Regenwetter, Faez Ahmed

CoRR, 2022

Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design.

Lyle Regenwetter, Faez Ahmed

CoRR, 2022

FRAMED: Data-Driven Structural Performance Analysis of Community-Designed Bicycle Frames.

Lyle Regenwetter, Colin Weaver, Faez Ahmed

CoRR, 2022

2021

Deep Generative Models in Engineering Design: A Review.

Lyle Regenwetter, Amin Heyrani Nobari, Faez Ahmed

CoRR, 2021

BIKED: A Dataset and Machine Learning Benchmarks for Data-Driven Bicycle Design.

Lyle Regenwetter, Brent Curry, Faez Ahmed

CoRR, 2021