Principal AI Research Scientist
Europe, Middle East, and Africa
Adam Gaier is a research scientist at the Autodesk AI Lab where he pursues research at the intersection of evolutionary and machine learning. He received master’s degrees in evolutionary computing and robotics, and a PhD focused on tackling expensive design problems through the fusion of machine learning, quality diversity, and neuro-evolution approaches. His work has received recognition at top venues across these fields, including: a spotlight talk at NeurIPS (machine learning), multiple best paper awards at GECCO (evolutionary computation), and best student paper at AIAA (aerodynamics design optimization).
COIL: Constrained Optimization in Workshop on Learned Latent Space
Constrained optimization problems can be difficult because their…
Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders.
Nature has spent billions of years perfecting our genetic…
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