Oleg Bakhteev

Autoencoder parameters can act as powerful, compact representations of data, revealing deep connections between model architecture and statistical properties.

Surrogate-guided ensemble search can identify architectures that are not only strong individually but also diverse, outperforming traditional methods on benchmark datasets.