Standardization aspects of eBook content formats. - Kyong-Ho Lee; Nicholas Guttenberg; Victor McCrary (Comput. Stand. Interfaces, 2002)

Heredity in Messy Chemistries. - Nathaniel Virgo; Nicholas Guttenberg (ECAL, 2015)

Transferable measurements of Heredity in models of the Origins of Life. - Nicholas Guttenberg; Matthieu Laneuville; Melissa Ilardo; Nathanaël Aubert-Kato (CoRR, 2015)

Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks. - Nicholas Guttenberg; Martin Biehl 001; Ryota Kanai (CoRR, 2016)

Permutation-equivariant neural networks applied to dynamics prediction. - Nicholas Guttenberg; Nathaniel Virgo; Olaf Witkowski; Hidetoshi Aoki; Ryota Kanai (CoRR, 2016)

Counterfactual Control for Free from Generative Models. - Nicholas Guttenberg; Yen Yu; Ryota Kanai (CoRR, 2017)

Learning body-affordances to simplify action spaces. - Nicholas Guttenberg; Martin Biehl 001; Ryota Kanai (CoRR, 2017)

Being curious about the answers to questions: novelty search with learned attention. - Nicholas Guttenberg; Martin Biehl 001; Nathaniel Virgo; Ryota Kanai (ALIFE, 2018)

Learning to generate classifiers. - Nicholas Guttenberg; Ryota Kanai (CoRR, 2018)

Evolutionary rates of information gain and decay in fluctuating environments. - Nicholas Guttenberg (ALIFE, 2019)

On the Potential for Open-Endedness in Neural Networks. - Nicholas Guttenberg; Nathaniel Virgo; Alexandra S. Penn (Artif. Life, 2019)

Generating the support with extreme value losses. - Nicholas Guttenberg (CoRR, 2019)

Deep learning on butterfly phenotypes tests evolution's oldest mathematical model. - Jennifer F. Hoyal Cuthill; Nicholas Guttenberg; Sophie Ledger; Robyn Crowther; Blanca Huertas (CoRR, 2019)

BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication). - Marek Rosa; Olga Afanasjeva; Simon Andersson; Joseph Davidson; Nicholas Guttenberg; Petr Hlubucek; Martin Poliak; Jaroslav Vitku; Jan Feyereisl (CoRR, 2019)

Segmentation Convolutional Neural Networks for Automatic Crater Detection on Mars. - Danielle DeLatte; Sarah T. Crites; Nicholas Guttenberg; Elizabeth J. Tasker; Takehisa Yairi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Bootstrapping of memetic from genetic evolution via inter-agent selection pressures. - Nicholas Guttenberg; Marek Rosa (CoRR, 2021)

ChemGrid: An Open-Ended Benchmark Domain for an Open-Ended Learner. - Miklos Kepes; Nicholas Guttenberg; Lisa B. Soros (CoG, 2022)

Recognition and Classification of Martian Chaos Terrains Using Imagery Machine Learning: A Global Distribution of Chaos Linked to Groundwater Circulation, Catastrophic Flooding, and Magmatism on Mars. - Hiroki Shozaki; Yasuhito Sekine; Nicholas Guttenberg; Goro Komatsu (Remote. Sens., 2022)

Mars Crater Segmentation Dataset. - Danielle DeLatte; Sarah T. Crites; Nicholas Guttenberg; Elizabeth J. Tasker; Takehisa Yairi (IEEE DataPort, 2022)