68 citations · 489 across the 32 of their papers we have counts for
4 papers · 1 filter
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
Marek Rosa, Olga Afanasjeva, Simon Andersson +6
In this work, we propose a novel memory-based multi-agent meta-learning architecture and learning procedure that allows for learning of a shared communication policy that enables t…
Estimating Planetary Mass with Deep Learning
Elizabeth J. Tasker, Matthieu Laneuville, Nicholas Guttenberg
While thousands of exoplanets have been confirmed, the known properties about individual discoveries remain sparse and depend on detection technique. To utilize more than a small s…
Deep learning on butterfly phenotypes tests evolution's oldest mathematical model
Jennifer F. Hoyal Cuthill, Nicholas Guttenberg, Sophie Ledger +2
Traditional anatomical analyses captured only a fraction of real phenomic information. Here, we apply deep learning to quantify total phenotypic similarity across 2468 butterfly ph…
Generating the support with extreme value losses
Nicholas Guttenberg
When optimizing against the mean loss over a distribution of predictions in the context of a regression task, then even if there is a distribution of targets the optimal prediction…