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Self-organization of complex morphological patterns from local interactions is a fascinating phenomenon in many natural and artificial systems.
Visual pattern recognition by moment invariants
Ming-Kuei Hu · 1962
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Elliptic fourier features of a closed contour
Frank P Kuhl and Charles R Giardina · 1982
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Self-reproduction in cellular automata
Christopher G Langton · 1984
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Principal component analysis
Svante Wold, Kim Esbensen, and Paul Geladi · 1987
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Image processing
John C Russ · 1990
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The chemical basis of morphogenesis
Alan Mathison Turing · 1990
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Learning and development in neural networks: The importance of starting small
Jeffrey L Elman · 1993
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Fourier descriptors and their applications in biology
Pete E Lestrel · 1997
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Fourier transforms and their application to the formation of textures and changes of morphology in solids
WH Müller · 1998
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The self-made tapestry: pattern formation in nature
Philip Ball · 1999
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Describing shape changes in the human mandible using elliptical fourier functions
Simon YY Chen, Pete E Lestrel, W John S Kerr, and John H McColl · 2000
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Exploring artificial cranial deformation using elliptic fourier analysis of procrustes aligned outlines
Martin Friess and Michel Baylac · 2003
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Functional genomic hypothesis generation and experimentation by a robot scientist
Ross D King, Kenneth E Whelan, Ffion M Jones, Philip GK Reiser, Christopher H Bryant, Stephen H Muggleton, Douglas B Kell, and Stephen G Oliver · 2004
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Pfeiffer–a distributed open-ended evolutionary system
WB Langdon · 2005
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Moment invariants in image analysis
Jan Flusser · 2006
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Plant species identification using elliptic fourier leaf shape analysis
João Camargo Neto, George E Meyer, David D Jones, and Ashok K Samal · 2006
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Exploiting regularity without development
Kenneth O Stanley · 2006
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Representational similarity analysis-connecting the branches of systems neuroscience
Nikolaus Kriegeskorte, Marieke Mur, and Peter A Bandettini · 2008
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Exploiting open-endedness to solve problems through the search for novelty
Joel Lehman and Kenneth O Stanley · 2008
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Generalized fourier descriptors with applications to objects recognition in svm context
Fethi Smach, Cedric Lemaître, Jean-Paul Gauthier, Johel Miteran, and Mohamed Atri · 2008
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Large scale online learning of image similarity through ranking
Gal Chechik, Varun Sharma, Uri Shalit, and Samy Bengio · 2010
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Plant texture classification using gabor co-occurrences
James S Cope, Paolo Remagnino, Sarah Barman, and Paul Wilkin · 2010
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Abandoning objectives: Evolution through the search for novelty alone
Joel Lehman and Kenneth O Stanley · 2011
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Picbreeder: A case study in collaborative evolutionary exploration of design space
Jimmy Secretan, Nicholas Beato, David B D’Ambrosio, Adelein Rodriguez, Adam Campbell, Jeremiah T Folsom-Kovarik, and Kenneth O Stanley · 2011
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Automating discovery and classification of transients and variable stars in the synoptic survey era
JS Bloom, JW Richards, PE Nugent, RM Quimby, MM Kasliwal, DL Starr, D Poznanski, EO Ofek, SB Cenko, NR Butler, et al · 2012
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Plant species identification using digital morphometrics: A review
James S Cope, David Corney, Jonathan Y Clark, Paolo Remagnino, and Paul Wilkin · 2012
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Active learning of inverse models with intrinsically motivated goal exploration in robots
Adrien Baranes and Pierre-Yves Oudeyer · 2013
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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How transferable are features in deep neural networks?
Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson · 2014
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Robots that can adapt like animals
Antoine Cully, Jeff Clune, Danesh Tarapore, and Jean-Baptiste Mouret · 2015
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Confronting the challenge of quality diversity
Justin K Pugh, Lisa B Soros, Paul A Szerlip, and Kenneth O Stanley · 2015
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Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
Cellular automata rule characterization and classification using texture descriptors
Jeaneth Machicao, Lucas C Ribas, Leonardo FS Scabini, and Odermir M Bruno · 2018
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Visual reinforcement learning with imagined goals
Ashvin V Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, and Sergey Levine · 2018
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Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
Alexandre Péré, Sébastien Forestier, Olivier Sigaud, and Pierre-Yves Oudeyer · 2018
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Ganbreeder, code: https://github.com/joel-simon/ganbreeder
Joel Simon · 2018
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Accelerating the discovery of materials for clean energy in the era of smart automation
Daniel P Tabor, Loïc M Roch, Semion K Saikin, Christoph Kreisbeck, Dennis Sheberla, Joseph H Montoya, Shyam Dwaraknath, Muratahan Aykol, Carlos Ortiz, Hermann Tribukait, et al · 2018
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Embed to control: A locally linear latent dynamics model for control from raw images
Manuel Watter, Jost Springenberg, Joschka Boedecker, and Martin Riedmiller · 2015
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Deep variational bayes filters: Unsupervised learning of state space models from raw data
Maximilian Karl, Maximilian Soelch, Justin Bayer, and Patrick Van der Smagt · 2016
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Machine-learning-assisted materials discovery using failed experiments
Paul Raccuglia, Katherine C Elbert, Philip DF Adler, Casey Falk, Malia B Wenny, Aurelio Mollo, Matthias Zeller, Sorelle A Friedler, Joshua Schrier, and Alexander J Norquist · 2016
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Andrei A Rusu, Neil C Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, and Raia Hadsell · 2016
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Stable reinforcement learning with autoencoders for tactile and visual data
Herke Van Hoof, Nutan Chen, Maximilian Karl, Patrick van der Smagt, and Jan Peters · 2016
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Human versus robots in the discovery and crystallization of gigantic polyoxometalates
Vasilios Duros, Jonathan Grizou, Weimin Xuan, Zied Hosni, De-Liang Long, Haralampos N Miras, and Leroy Cronin · 2017
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Amy Zhang, Harsh Satija, and Joelle Pineau · 2018
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Lenia-biology of artificial life
Bert Wang-Chak Chan · 2019
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Autonomous skill discovery with quality-diversity and unsupervised descriptors
Antoine Cully · 2019
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Cellular automata as convolutional neural networks
William Gilpin · 2019
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Agent-based modeling of morphogenetic systems: Advantages and challenges
Chad M Glen, Melissa L Kemp, and Eberhard O Voit · 2019
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Similarity of neural network representations revisited
Simon Kornblith, Mohammad Norouzi, Honglak Lee, and Geoffrey Hinton · 2019
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Computational discovery of the origins of life, 2019
Jan Meisner, Xiaolei Zhu, and Todd J Martínez · 2019
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Learning to control self-assembling morphologies: a study of generalization via modularity
Deepak Pathak, Christopher Lu, Trevor Darrell, Phillip Isola, and Alexei A Efros · 2019
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Skew-fit: State-covering self-supervised reinforcement learning
Vitchyr H Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, and Sergey Levine · 2019
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Continual unsupervised representation learning
Dushyant Rao, Francesco Visin, Andrei Rusu, Razvan Pascanu, Yee Whye Teh, and Raia Hadsell · 2019
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Rethinking drug design in the artificial intelligence era
Petra Schneider, W Patrick Walters, Alleyn T Plowright, Norman Sieroka, Jennifer Listgarten, Robert A Goodnow, Jasmin Fisher, Johanna M Jansen, José S Duca, Thomas S Rush, et al · 2019
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Crop phenomics: current status and perspectives
Ying Zhang, Chunjiang Zhao, Jianjun Du, Xinyu Guo, Wenliang Wen, Shenghao Gu, Jinglu Wang, and Jiangchuan Fan · 2019
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A Critical Reflection on Automated Science
Marta Bertolaso and Fabio Sterpetti · 2020
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Lenia and expanded universe
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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A curious formulation robot enables the discovery of a novel protocell behavior
Jonathan Grizou, Laurie J Points, Abhishek Sharma, and Leroy Cronin · 2020
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Learning causal networks using inducible transcription factors and transcriptome-wide time series
Sean R Hackett, Edward A Baltz, Marc Coram, Bernd J Wranik, Griffin Kim, Adam Baker, Minjie Fan, David G Hendrickson, Marc Berndl, and R Scott McIsaac · 2020
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A neural dirichlet process mixture model for task-free continual learning
Soochan Lee, Junsoo Ha, Dongsu Zhang, and Gunhee Kim · 2020
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Progressive learning and disentanglement of hierarchical representations
Zhiyuan Li, Jaideep Vitthal Murkute, Prashnna Kumar Gyawali, and Linwei Wang · 2020
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Growing neural cellular automata
Alexander Mordvintsev, Ettore Randazzo, Eyvind Niklasson, and Michael Levin · 2020
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Intrinsically motivated discovery of diverse patterns in self-organizing systems
Chris Reinke, Mayalen Etcheverry, and Pierre-Yves Oudeyer · 2020
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