Faez Ahmed

Sai Krishna Revanth Vuruma

CoRR, 2024

From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Fast and Accurate Zero-Training Classification for Tabular Engineering Data.

[BibT_eX]

[DOI]

Cyril Picard

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

Comput. Aided Des., December, 2023

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

[BibT_eX]

[DOI]

Colin Weaver

Comput. Aided Des., March, 2023

From Concept to Manufacturing: Evaluating Vision-Language Models for Engineering Design.

[BibT_eX]

[DOI]

CoRR, 2023

ShipGen: A Diffusion Model for Parametric Ship Hull Generation with Multiple Objectives and Constraints.

[BibT_eX]

[DOI]

Noah J. Bagazinski

CoRR, 2023

Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Surrogate Modeling of Car Drag Coefficient with Depth and Normal Renderings.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data.

[BibT_eX]

[DOI]

Hanqi Su

Binyang Song

CoRR, 2023

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

[BibT_eX]

[DOI]

Yazan Abu Obaideh

CoRR, 2023

DATED: Guidelines for Creating Synthetic Datasets for Engineering Design Applications.

[BibT_eX]

[DOI]

Cyril Picard

Jürg Schiffmann

CoRR, 2023

Ship-D: Ship Hull Dataset for Design Optimization using Machine Learning.

[BibT_eX]

[DOI]

Noah J. Bagazinski

CoRR, 2023

ADVISE: AI-accelerated Design of Evidence Synthesis for Global Development.

[BibT_eX]

[DOI]

CoRR, 2023

Diffusing the Optimal Topology: A Generative Optimization Approach.

[BibT_eX]

[DOI]

Giorgio Giannone

CoRR, 2023

Multi-modal Machine Learning in Engineering Design: A Review and Future Directions.

[BibT_eX]

[DOI]

Binyang Song

Rui Zhou

CoRR, 2023

Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffusion Models Beat GANs on Topology Optimization.

[BibT_eX]

[DOI]

François Mazé

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

LINKS: A dataset of a hundred million planar linkage mechanisms for data-driven kinematic design.

[BibT_eX]

[DOI]

CoRR, 2022

TopoDiff: A Performance and Constraint-Guided Diffusion Model for Topology Optimization.

[BibT_eX]

[DOI]

François Mazé

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Colin Weaver

CoRR, 2022

A Weighted Statistical Network Modeling Approach to Product Competition Analysis.

[BibT_eX]

[DOI]

Complex., 2022

2021

Deep Generative Models in Engineering Design: A Review.

[BibT_eX]

[DOI]

CoRR, 2021

PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design.

[BibT_eX]

[DOI]

CoRR, 2021

A Graph Neural Network Approach for Product Relationship Prediction.

[BibT_eX]

[DOI]

CoRR, 2021

CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis.

[BibT_eX]

[DOI]

Muhammad Fathy Rashad

CoRR, 2021

Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Brent Curry

CoRR, 2021

Self-Organizing Teams in Online Work Settings.

[BibT_eX]

[DOI]

Ioanna Lykourentzou

Federica Lucia Vinella

Costas Papastathis

Konstantinos Papangelis

Vassilis-Javed Khan

Judith Masthoff

CoRR, 2021

MO-PaDGAN: Reparameterizing Engineering Designs for augmented multi-objective optimization.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization.

[BibT_eX]

[DOI]

CoRR, 2020

MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems.

[BibT_eX]

[DOI]

CoRR, 2020

METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design.

[BibT_eX]

[DOI]

CoRR, 2020

PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs.

[BibT_eX]

[DOI]

CoRR, 2020

Forming Diverse Teams from Sequentially Arriving People.

[BibT_eX]

[DOI]

John Dickerson

CoRR, 2020

An Algorithm for Multi-Attribute Diverse Matching.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Diversity and Novelty: Measurement, Learning and Optimization.

[BibT_eX]

[DOI]

PhD thesis, 2019

Algorithms for Optimal Diverse Matching.

[BibT_eX]

[DOI]

CoRR, 2019

Structuring Online Dyads: Explanations Improve Creativity, Chats Lead to Convergence.

[BibT_eX]

[DOI]

Nischal Reddy Chandra

Steven Dow

Proceedings of the 2019 ACM SIGCHI Conference on Creativity and Cognition, 2019

2018

When Crowds Give You Lemons: Filtering Innovative Ideas using a Diverse-Bag-of-Lemons Strategy.

[BibT_eX]

[DOI]

Konstantinos Papangelis

Proc. ACM Hum. Comput. Interact., 2018

Creative Exploration Using Topic Based Bisociative Networks.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Ranking ideas for diversity and quality.

[BibT_eX]

[DOI]

CoRR, 2017

Diverse Weighted Bipartite b-Matching.

[BibT_eX]

[DOI]

John P. Dickerson

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Capturing Winning Ideas in Online Design Communities.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

2016

Structural topology optimization using multi-objective genetic algorithm with constructive solid geometry representation.

[BibT_eX]

[DOI]

Bishakh Bhattacharya

Appl. Soft Comput., 2016

2013

Multi-objective optimal path planning using elitist non-dominated sorting genetic algorithms.

[BibT_eX]

[DOI]

Soft Comput., 2013

Multi-objective optimization and decision making approaches to cricket team selection.

[BibT_eX]

[DOI]

Abhilash Jindal

Appl. Soft Comput., 2013

2012

Constructive Solid Geometry Based Topology Optimization Using Evolutionary Algorithm.

[BibT_eX]

[DOI]

Bishakh Bhattacharya

Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), 2012

2011

Controller Design of Active Suspension System with Terrain Preview Using Evolutionary Multi-objective Algorithms.

[BibT_eX]

[DOI]

David Purdy

Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, 2011

Cricket Team Selection Using Evolutionary Multi-objective Optimization.

[BibT_eX]

[DOI]

Abhilash Jindal

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

Multi-objective path planning using spline representation.

[BibT_eX]

[DOI]