Adam Gaier | DeepAI

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∙ 07/04/2022

T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective

Real-world design problems are a messy combination of constraints, objec...

0 Adam Gaier, et al. ∙

∙ 02/04/2022

COIL: Constrained Optimization in Learned Latent Space – Learning Representations for Valid Solutions

Constrained optimization problems can be difficult because their search ...

27 Peter J Bentley, et al. ∙

∙ 03/09/2020

Automating Representation Discovery with MAP-Elites

The way solutions are represented, or encoded, is usually the result of ...

6 Adam Gaier, et al. ∙

∙ 07/16/2019

Prediction of neural network performance by phenotypic modeling

Surrogate models are used to reduce the burden of expensive-to-evaluate ...

0 Alexander Hagg, et al. ∙

∙ 06/11/2019

Weight Agnostic Neural Networks

Not all neural network architectures are created equal, some perform muc...

7 Adam Gaier, et al. ∙

∙ 06/15/2018

Data-Efficient Design Exploration through Surrogate-Assisted Illumination

Design optimization techniques are often used at the beginning of the de...

0 Adam Gaier, et al. ∙

∙ 04/15/2018

Data-efficient Neuroevolution with Kernel-Based Surrogate Models

Surrogate-assistance approaches have long been used in computationally e...

0 Adam Gaier, et al. ∙

∙ 02/13/2017

Data-Efficient Exploration, Optimization, and Modeling of Diverse Designs through Surrogate-Assisted Illumination

The MAP-Elites algorithm produces a set of high-performing solutions tha...

0 Adam Gaier, et al. ∙

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