Nicholas Guttenberg

Publication Activity (10 Years)

Years Active: 2002-2022
Publications (10 Years): 18

Top Topics

Information Gain

Top Venues

Publications

Miklos Kepes, Nicholas Guttenberg, Lisa B. Soros
ChemGrid: An Open-Ended Benchmark Domain for an Open-Ended Learner. CoG (2022)
Hiroki Shozaki, Yasuhito Sekine, Nicholas Guttenberg, Goro Komatsu
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) (2022)
Nicholas Guttenberg, Marek Rosa
Bootstrapping of memetic from genetic evolution via inter-agent selection pressures. CoRR (2021)
Nicholas Guttenberg
Evolutionary rates of information gain and decay in fluctuating environments. CoRR (2021)
Nicholas Guttenberg
Evolutionary rates of information gain and decay in fluctuating environments. ALIFE (2019)
Jennifer F. Hoyal Cuthill, Nicholas Guttenberg, Sophie Ledger, Robyn Crowther, Blanca Huertas
Deep learning on butterfly phenotypes tests evolution's oldest mathematical model. CoRR (2019)
Nicholas Guttenberg, Nathaniel Virgo, Alexandra S. Penn
On the Potential for Open-Endedness in Neural Networks. Artif. Life 25 (2) (2019)
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 (2019)
Danielle DeLatte, Sarah T. Crites, Nicholas Guttenberg, Elizabeth J. Tasker, Takehisa Yairi
Segmentation Convolutional Neural Networks for Automatic Crater Detection on Mars. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (8) (2019)
Nicholas Guttenberg
Generating the support with extreme value losses. CoRR (2019)
Nicholas Guttenberg, Martin Biehl, Nathaniel Virgo, Ryota Kanai
Being curious about the answers to questions: novelty search with learned attention. ALIFE (2018)
Nicholas Guttenberg, Ryota Kanai
Learning to generate classifiers. CoRR (2018)
Nicholas Guttenberg, Martin Biehl, Nathaniel Virgo, Ryota Kanai
Being curious about the answers to questions: novelty search with learned attention. CoRR (2018)
Nicholas Guttenberg, Nathaniel Virgo, Alexandra S. Penn
On the potential for open-endedness in neural networks. CoRR (2018)
Nicholas Guttenberg, Martin Biehl, Ryota Kanai
Learning body-affordances to simplify action spaces. CoRR (2017)
Nicholas Guttenberg, Yen Yu, Ryota Kanai
Counterfactual Control for Free from Generative Models. CoRR (2017)
Nicholas Guttenberg, Nathaniel Virgo, Olaf Witkowski, Hidetoshi Aoki, Ryota Kanai
Permutation-equivariant neural networks applied to dynamics prediction. CoRR (2016)
Nicholas Guttenberg, Martin Biehl, Ryota Kanai
Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks. CoRR (2016)
Nathaniel Virgo, Nicholas Guttenberg
Heredity in Messy Chemistries. ECAL (2015)
Nicholas Guttenberg, Matthieu Laneuville, Melissa Ilardo, Nathanaël Aubert-Kato
Transferable measurements of Heredity in models of the Origins of Life. CoRR (2015)
Kyong-Ho Lee, Nicholas Guttenberg, Victor McCrary
Standardization aspects of eBook content formats. Comput. Stand. Interfaces 24 (3) (2002)