Nicholas Guttenberg

21 papers C 3Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2022 C conf
ChemGrid: An Open-Ended Benchmark Domain for an Open-Ended Learner.
CoG
Miklos Kepes, Nicholas Guttenberg, Lisa B. Soros
2022 J jnl
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.
Hiroki Shozaki, Yasuhito Sekine, Nicholas Guttenberg, Goro Komatsu
2021 J jnl
Bootstrapping of memetic from genetic evolution via inter-agent selection pressures.
CoRR
Nicholas Guttenberg, Marek Rosa
2021 J jnl
Evolutionary rates of information gain and decay in fluctuating environments.
CoRR
Nicholas Guttenberg
2019 J jnl
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication).
CoRR
Marek Rosa, Olga Afanasjeva, Simon Andersson, Joseph Davidson, Nicholas Guttenberg, Petr Hlubucek, Martin Poliak, Jaroslav Vitku, Jan Feyereisl
2019 J jnl
Deep learning on butterfly phenotypes tests evolution's oldest mathematical model.
CoRR
Jennifer F. Hoyal Cuthill, Nicholas Guttenberg, Sophie Ledger, Robyn Crowther, Blanca Huertas
2019 C conf
Evolutionary rates of information gain and decay in fluctuating environments.
ALIFE
Nicholas Guttenberg
2019 J jnl
Generating the support with extreme value losses.
CoRR
Nicholas Guttenberg
2019 J jnl
On the Potential for Open-Endedness in Neural Networks.
Artif. Life
Nicholas Guttenberg, Nathaniel Virgo, Alexandra S. Penn
2019 J jnl
Segmentation Convolutional Neural Networks for Automatic Crater Detection on Mars.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Danielle DeLatte, Sarah T. Crites, Nicholas Guttenberg, Elizabeth J. Tasker, Takehisa Yairi
2018 C conf
Being curious about the answers to questions: novelty search with learned attention.
ALIFE
Nicholas Guttenberg, Martin Biehl, Nathaniel Virgo, Ryota Kanai
2018 J jnl
Being curious about the answers to questions: novelty search with learned attention.
CoRR
Nicholas Guttenberg, Martin Biehl, Nathaniel Virgo, Ryota Kanai
2018 J jnl
Learning to generate classifiers.
CoRR
Nicholas Guttenberg, Ryota Kanai
2018 J jnl
On the potential for open-endedness in neural networks.
CoRR
Nicholas Guttenberg, Nathaniel Virgo, Alexandra S. Penn
2017 J jnl
Counterfactual Control for Free from Generative Models.
CoRR
Nicholas Guttenberg, Yen Yu, Ryota Kanai
2017 J jnl
Learning body-affordances to simplify action spaces.
CoRR
Nicholas Guttenberg, Martin Biehl, Ryota Kanai
2016 J jnl
Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks.
CoRR
Nicholas Guttenberg, Martin Biehl, Ryota Kanai
2016 J jnl
Permutation-equivariant neural networks applied to dynamics prediction.
CoRR
Nicholas Guttenberg, Nathaniel Virgo, Olaf Witkowski, Hidetoshi Aoki, Ryota Kanai
2015 — conf
Heredity in Messy Chemistries.
ECAL
Nathaniel Virgo, Nicholas Guttenberg
2015 J jnl
Transferable measurements of Heredity in models of the Origins of Life.
CoRR
Nicholas Guttenberg, Matthieu Laneuville, Melissa Ilardo, Nathanaël Aubert-Kato
2002 J jnl
Standardization aspects of eBook content formats.
Comput. Stand. Interfaces
Kyong-Ho Lee, Nicholas Guttenberg, Victor McCrary