12 citations · 15 across the 2 of their papers we have counts for
2 papers
cs.LG2016★ 12 cited
Genetic Architect: Discovering Genomic Structure with Learned Neural Architectures
Laura Deming, Sasha Targ, Nate Sauder +2
Each human genome is a 3 billion base pair set of encoding instructions. Decoding the genome using deep learning fundamentally differs from most tasks, as we do not know the full s…
cs.LG2015★ 3 cited
GradNets: Dynamic Interpolation Between Neural Architectures
Diogo Almeida, Nate Sauder
In machine learning, there is a fundamental trade-off between ease of optimization and expressive power. Neural Networks, in particular, have enormous expressive power and yet are…