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Evolutionary rates of information gain and decay in fluctuating environments

Apr 07, 2021
Nicholas Guttenberg

* 7 pages, 4 figures, ALife 2019 

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Bootstrapping of memetic from genetic evolution via inter-agent selection pressures

Apr 07, 2021
Nicholas Guttenberg, Marek Rosa

* 9 pages, 3 figures, submitted to ALife 2021 

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BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)

Dec 03, 2019
Marek Rosa, Olga Afanasjeva, Simon Andersson, Joseph Davidson, Nicholas Guttenberg, Petr Hlubuček, Martin Poliak, Jaroslav Vítku, Jan Feyereisl

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Deep learning on butterfly phenotypes tests evolution's oldest mathematical model

Aug 15, 2019
Jennifer F. Hoyal Cuthill, Nicholas Guttenberg, Sophie Ledger, Robyn Crowther, Blanca Huertas

* Sci Adv 5, eaaw4967 (2019) 
* Manuscript and combined supplementary information 

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Generating the support with extreme value losses

Feb 08, 2019
Nicholas Guttenberg

* 12 pages, 5 figures 

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On the potential for open-endedness in neural networks

Dec 12, 2018
Nicholas Guttenberg, Nathaniel Virgo, Alexandra Penn

* 17 pages, 6 figures; Final author version accepted for publication in Artificial Life 

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

Jun 01, 2018
Nicholas Guttenberg, Martin Biehl, Nathaniel Virgo, Ryota Kanai

* 8 pages, 7 figures, ALife 2018 

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Learning to generate classifiers

Mar 30, 2018
Nicholas Guttenberg, Ryota Kanai

* 11 pages, 3 figures 

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Learning body-affordances to simplify action spaces

Aug 15, 2017
Nicholas Guttenberg, Martin Biehl, Ryota Kanai

* 4 pages, 4 figures 

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Counterfactual Control for Free from Generative Models

Mar 09, 2017
Nicholas Guttenberg, Yen Yu, Ryota Kanai

* 6 pages, 5 figures 

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Permutation-equivariant neural networks applied to dynamics prediction

Dec 14, 2016
Nicholas Guttenberg, Nathaniel Virgo, Olaf Witkowski, Hidetoshi Aoki, Ryota Kanai

* 7 pages, 4 figures 

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Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks

Sep 01, 2016
Nicholas Guttenberg, Martin Biehl, Ryota Kanai

* 9 pages, 5 figures, 3 tables 

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