activity
20062021
most citedDeep learning on butterfly phenotypes tests evolution's oldest mathematical model

68 citations · 489 across the 32 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

nlin.AO2018

On the potential for open-endedness in neural networks

Nicholas Guttenberg, Nathaniel Virgo, Alexandra Penn

Natural evolution gives the impression of leading to an open-ended process of increasing diversity and complexity. If our goal is to produce such open-endedness artificially, this…

cs.AI2018

Being curious about the answers to questions: novelty search with learned attention

Nicholas Guttenberg, Martin Biehl, Nathaniel Virgo +1

We investigate the use of attentional neural network layers in order to learn a `behavior characterization' which can be used to drive novelty search and curiosity-based policies.…

cond-mat.stat-mech2018★ 39 cited

Hydrodynamic Theory of Flocking in the Presence of Quenched Disorder

John Toner, Nicholas Guttenberg, Yuhai Tu

The effect of quenched (frozen) orientational disorder on the collective motion of active particles is analyzed. We find that, as with annealed disorder (Langevin noise), active po…

cond-mat.stat-mech2018★ 55 cited

Swarming in the Dirt: Ordered Flocks with Quenched Disorder

John Toner, Nicholas Guttenberg, Yuhai Tu

The effect of quenched (frozen) disorder on the collective motion of active particles is analyzed. We find that active polar systems are far more robust against quenched disorder t…

cs.LG2018★ 2 cited

Learning to generate classifiers

Nicholas Guttenberg, Ryota Kanai

We train a network to generate mappings between training sets and classification policies (a 'classifier generator') by conditioning on the entire training set via an attentional m…