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Nicholas Guttenberg
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2020 – today
- 2022
- [j4]Hiroki Shozaki
, Yasuhito Sekine
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. Remote. Sens. 14(16): 3883 (2022) - [c4]Miklos Kepes, Nicholas Guttenberg, Lisa B. Soros:
ChemGrid: An Open-Ended Benchmark Domain for an Open-Ended Learner. CoG 2022: 221-228 - [d1]Danielle DeLatte
Mars Crater Segmentation Dataset. IEEE DataPort, 2022 - 2021
- [i13]Nicholas Guttenberg, Marek Rosa:
Bootstrapping of memetic from genetic evolution via inter-agent selection pressures. CoRR abs/2104.03404 (2021) - [i12]Nicholas Guttenberg:
Evolutionary rates of information gain and decay in fluctuating environments. CoRR abs/2104.03406 (2021)
2010 – 2019
- 2019
- [j3]Nicholas Guttenberg, Nathaniel Virgo
On the Potential for Open-Endedness in Neural Networks. Artif. Life 25(2): 145-167 (2019) - [j2]Danielle DeLatte
Segmentation Convolutional Neural Networks for Automatic Crater Detection on Mars. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(8): 2944-2957 (2019) - [c3]Nicholas Guttenberg:
Evolutionary rates of information gain and decay in fluctuating environments. ALIFE 2019: 365-371 - [i11]Nicholas Guttenberg:
Generating the support with extreme value losses. CoRR abs/1902.02940 (2019) - [i10]Jennifer F. Hoyal Cuthill, Nicholas Guttenberg, Sophie Ledger, Robyn Crowther, Blanca Huertas:
Deep learning on butterfly phenotypes tests evolution's oldest mathematical model. CoRR abs/1908.05635 (2019) - [i9]Marek Rosa, Olga Afanasjeva, Simon Andersson, Joseph Davidson, Nicholas Guttenberg, Petr Hlubucek, Martin Poliak, Jaroslav Vitku, Jan Feyereisl:
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication). CoRR abs/1912.01513 (2019) - 2018
- [c2]Nicholas Guttenberg, Martin Biehl, Nathaniel Virgo, Ryota Kanai:
Being curious about the answers to questions: novelty search with learned attention. ALIFE 2018: 518-525 - [i8]Nicholas Guttenberg, Ryota Kanai:
Learning to generate classifiers. CoRR abs/1803.11373 (2018) - [i7]Nicholas Guttenberg, Martin Biehl, Nathaniel Virgo, Ryota Kanai:
Being curious about the answers to questions: novelty search with learned attention. CoRR abs/1806.00201 (2018) - [i6]Nicholas Guttenberg, Nathaniel Virgo, Alexandra S. Penn:
On the potential for open-endedness in neural networks. CoRR abs/1812.04907 (2018) - 2017
- [i5]Nicholas Guttenberg, Yen Yu, Ryota Kanai:
Counterfactual Control for Free from Generative Models. CoRR abs/1702.06676 (2017) - [i4]Nicholas Guttenberg, Martin Biehl, Ryota Kanai:
Learning body-affordances to simplify action spaces. CoRR abs/1708.04391 (2017) - 2016
- [i3]Nicholas Guttenberg, Martin Biehl
Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks. CoRR abs/1609.00116 (2016) - [i2]Nicholas Guttenberg, Nathaniel Virgo, Olaf Witkowski, Hidetoshi Aoki, Ryota Kanai:
Permutation-equivariant neural networks applied to dynamics prediction. CoRR abs/1612.04530 (2016) - 2015
- [c1]Nathaniel Virgo
Heredity in Messy Chemistries. ECAL 2015: 325-332 - [i1]Nicholas Guttenberg, Matthieu Laneuville, Melissa Ilardo, Nathanaël Aubert-Kato:
Transferable measurements of Heredity in models of the Origins of Life. CoRR abs/1501.01745 (2015)
2000 – 2009
- 2002
- [j1]Kyong-Ho Lee
Standardization aspects of eBook content formats. Comput. Stand. Interfaces 24(3): 227-239 (2002)
Coauthor Index
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