Computational Fluid Dynamics (CFD) is widely used in different engineeri...
Generative models have demonstrated impressive results in vision, langua...
Generative models have had a profound impact on vision and language, pav...
Generative AI models have made significant progress in automating the
cr...
Accurate vehicle rating prediction can facilitate designing and configur...
We introduce Multi-Objective Counterfactuals for Design (MCD), a novel m...
Exploiting the recent advancements in artificial intelligence, showcased...
Machine learning has recently made significant strides in reducing desig...
When designing evidence-based policies and programs, decision-makers mus...
Topology Optimization seeks to find the best design that satisfies a set...
Deep generative models, such as Variational Autoencoders (VAEs), Generat...
In this paper, we introduce LINKS, a dataset of 100 million one degree o...
Structural topology optimization, which aims to find the optimal physica...
Deep Generative Machine Learning Models (DGMs) have been growing in
popu...
Deep Generative Machine Learning Models have been growing in popularity
...
This paper presents a data-driven analysis of the structural performance...
Automated design synthesis has the potential to revolutionize the modern...
Engineering design tasks often require synthesizing new designs that mee...
Graph Neural Networks have revolutionized many machine learning tasks in...
Modern machine learning techniques, such as deep neural networks, are
tr...
Typical engineering design tasks require the effort to modify designs
it...
In this paper, we present "BIKED," a dataset comprised of 4500 individua...
As the volume and complexity of distributed online work increases, the
c...
Multi-objective optimization is key to solving many Engineering Design
p...
Deep generative models have proven useful for automatic design synthesis...
Metamaterials are emerging as a new paradigmatic material system to rend...
Data-driven design of mechanical metamaterials is an increasingly popula...
Deep generative models are proven to be a useful tool for automatic desi...
Collaborative work often benefits from having teams or organizations wit...
Bisociative knowledge discovery is an approach that combines elements fr...
When selecting ideas or trying to find inspiration, designers often must...
Bipartite matching, where agents on one side of a market are matched to
...