Lyle Regenwetter

According to our database, Lyle Regenwetter authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

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

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