Nicholas Guttenberg

According to our database, Nicholas Guttenberg authored at least 19 papers between 2002 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2022

Mars Crater Segmentation Dataset.

Danielle DeLatte, Sarah T. Crites, Nicholas Guttenberg, Elizabeth J. Tasker, Takehisa Yairi

Dataset, May, 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

ChemGrid: An Open-Ended Benchmark Domain for an Open-Ended Learner.

Miklos Kepes, Nicholas Guttenberg, Lisa B. Soros

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021

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

Nicholas Guttenberg, Marek Rosa

CoRR, 2021

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

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

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

Generating the support with extreme value losses.

Nicholas Guttenberg

CoRR, 2019

On the Potential for Open-Endedness in Neural Networks.

Nicholas Guttenberg, Nathaniel Virgo, Alexandra S. Penn

Artif. Life, 2019

Evolutionary rates of information gain and decay in fluctuating environments.

Nicholas Guttenberg

Proceedings of the 2019 Conference on Artificial Life, 2019

2018

Learning to generate classifiers.

Nicholas Guttenberg, Ryota Kanai

CoRR, 2018

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

Nicholas Guttenberg, Martin Biehl, Nathaniel Virgo, Ryota Kanai

Proceedings of the 2018 Conference on Artificial Life, 2018

2017

Learning body-affordances to simplify action spaces.

Nicholas Guttenberg, Martin Biehl, Ryota Kanai

CoRR, 2017

Counterfactual Control for Free from Generative Models.

Nicholas Guttenberg, Yen Yu, Ryota Kanai

CoRR, 2017

2016

Permutation-equivariant neural networks applied to dynamics prediction.

Nicholas Guttenberg, Nathaniel Virgo, Olaf Witkowski, Hidetoshi Aoki, Ryota Kanai

CoRR, 2016

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

Nicholas Guttenberg, Martin Biehl, Ryota Kanai

CoRR, 2016

2015

Transferable measurements of Heredity in models of the Origins of Life.

Nicholas Guttenberg, Matthieu Laneuville, Melissa Ilardo, Nathanaël Aubert-Kato

CoRR, 2015

Heredity in Messy Chemistries.

Nathaniel Virgo, Nicholas Guttenberg

Proceedings of the Thirteenth European Conference Artificial Life, 2015

2002

Standardization aspects of eBook content formats.

Kyong-Ho Lee, Nicholas Guttenberg, Victor McCrary

Comput. Stand. Interfaces, 2002