corpus.blog
41554 blogs · [ { "id": "01a08784-8f7c-70d4-88e7-9080de84f0ef", "title": "Entropy", "url": "https://hugocisneros.com/notes/entropy/", "published_at": "2021-03-25T08:58:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080ded446cf", "title": "Kolmogorov complexity", "url": "https://hugocisneros.com/notes/kolmogorov_complexity/", "published_at": "2021-03-25T08:58:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080def0cf82", "title": "Minimum description length", "url": "https://hugocisneros.com/notes/minimum_description_length/", "published_at": "2021-03-25T08:58:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080df0377e5", "title": "Neural tangent kernel", "url": "https://hugocisneros.com/notes/neural_tangent_kernel/", "published_at": "2021-03-25T08:58:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080df1bd37a", "title": "Notes on: A model of urban evolution based on innovation diffusion by Raimbault, J. (2020)", "url": "https://hugocisneros.com/notes/raimbaultmodelurbanevolution2020/", "published_at": "2021-03-25T08:58:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080df2aa884", "title": "Notes on: Evolving Neural Networks through Augmenting Topologies by Stanley, K. O., & Miikkulainen, R. (2002)", "url": "https://hugocisneros.com/notes/stanleyevolvingneuralnetworks2002/", "published_at": "2021-03-25T08:58:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080dfc7859c", "title": "Notes on: Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems by Reinke, C., Etcheverry, M., & Oudeyer, P. (2020)", "url": "https://hugocisneros.com/notes/reinkeintrinsicallymotivateddiscovery2020/", "published_at": "2021-03-25T08:58:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080dfe6b35a", "title": "Notes on: Network Deconvolution by Ye, C., Evanusa, M., He, H., Mitrokhin, A., Goldstein, T., Yorke, J. A., Fermuller, Cornelia, … (2020)", "url": "https://hugocisneros.com/notes/yenetworkdeconvolution2020/", "published_at": "2021-03-25T08:58:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080e07a2171", "title": "Notes on: Neuroevolution: from architectures to learning by Floreano, D., Dürr, P., & Mattiussi, C. (2008)", "url": "https://hugocisneros.com/notes/floreanoneuroevolutionarchitectureslearning2008/", "published_at": "2021-03-25T08:58:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080e16072a7", "title": "Notes on: On the expressive power of programming languages by Felleisen, M. (1991)", "url": "https://hugocisneros.com/notes/felleisenexpressivepowerprogramming1991/", "published_at": "2021-03-25T08:58:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080e1d4244c", "title": "PCA", "url": "https://hugocisneros.com/notes/pca/", "published_at": "2021-03-25T08:58:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080e29e0cfb", "title": "Quality diversity", "url": "https://hugocisneros.com/notes/quality_diversity/", "published_at": "2021-03-25T08:58:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080e34cae95", "title": "Turing degree", "url": "https://hugocisneros.com/notes/turing_degree/", "published_at": "2021-03-25T08:58:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080e4159560", "title": "Assembly theory", "url": "https://hugocisneros.com/notes/assembly_theory/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080e4d656c3", "title": "CMA-ES", "url": "https://hugocisneros.com/notes/cma_es/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080e587eeef", "title": "Notes on: A Computer Scientist's View of Life, the Universe, and Everything by Schmidhuber, J. (1999)", "url": "https://hugocisneros.com/notes/schmidhubercomputerscientistview1999/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080e6707b75", "title": "Notes on: A new structurally dissolvable self-reproducing loop evolving in a simple cellular automata space by Sayama, H. (1999)", "url": "https://hugocisneros.com/notes/sayamanewstructurallydissolvable1999/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080e6ff0d47", "title": "Notes on: Adapting to Unseen Environments through Explicit Representation of Context by Tutum, C., & Miikkulainen, R. (2020)", "url": "https://hugocisneros.com/notes/tutumadaptingunseenenvironments2020/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080e7d01c23", "title": "Notes on: An Integrated Perspective on the Constitutive and Interactive Dimensions of Autonomy by Beer, R. D. (2020)", "url": "https://hugocisneros.com/notes/beerintegratedperspectiveconstitutive2020/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080e830ab83", "title": "Notes on: Cellular automata as convolutional neural networks by Gilpin, W. (2018)", "url": "https://hugocisneros.com/notes/gilpincellularautomataconvolutional2018/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080e8eca351", "title": "Notes on: Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data by Bender, E. M., & Koller, A. (2020)", "url": "https://hugocisneros.com/notes/benderclimbingnlumeaning2020/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080e93b6d02", "title": "Notes on: Combinatory Chemistry: Towards a Simple Model of Emergent Evolution by Kruszewski, G., & Mikolov, T. (2020)", "url": "https://hugocisneros.com/notes/kruszewskicombinatorychemistrysimple2020/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080e987559a", "title": "Notes on: Complexity and evolution: What everybody knows by McShea, D. W. (1991)", "url": "https://hugocisneros.com/notes/mcsheacomplexityevolutionwhat1991/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080e98d23b1", "title": "Notes on: Curiosity-Driven Exploration by Self-Supervised Prediction by Pathak, D., Agrawal, P., Efros, A. A., & Darrell, T. (2017)", "url": "https://hugocisneros.com/notes/pathakcuriositydrivenexplorationselfsupervised2017/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080ea00afaf", "title": "Notes on: Developmental mappings and phenotypic complexity by Lehre, P. K., & Haddow, P. C. (2003)", "url": "https://hugocisneros.com/notes/lehredevelopmentalmappingsphenotypic2003/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a79de19be", "title": "Notes on: Diversity preservation in minimal criterion coevolution through resource limitation by Brant, J. C., & Stanley, K. O. (2020)", "url": "https://hugocisneros.com/notes/brantdiversitypreservationminimal2020/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a7a1df6d3", "title": "Notes on: Drinking from a Firehose: Continual Learning with Web-scale Natural Language by Hu, H., Sener, O., Sha, F., & Koltun, V. (2020)", "url": "https://hugocisneros.com/notes/hudrinkingfirehosecontinual2020/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a7b02f73c", "title": "Notes on: Evolved Open-Endedness, Not Open-Ended Evolution by Pattee, H. H., & Sayama, H. (2019)", "url": "https://hugocisneros.com/notes/patteeevolvedopenendednessnot2019/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a7b5ba41c", "title": "Notes on: Information-Theoretic Probing with Minimum Description Length by Voita, E., & Titov, I. (2020)", "url": "https://hugocisneros.com/notes/voitainformationtheoreticprobingminimum2020/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a7c313cd2", "title": "Notes on: Learning Transferable Architectures for Scalable Image Recognition by Zoph, B., Vasudevan, V., Shlens, J., & Le, Q. V. (2018)", "url": "https://hugocisneros.com/notes/zophlearningtransferablearchitectures2018/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a7c53cfe4", "title": "Notes on: Modeling systems with internal state using evolino by Wierstra, D., Gomez, F. J., & Schmidhuber, J. 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(2020)", "url": "https://hugocisneros.com/notes/lechnerneuralcircuitpolicies2020/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a7de62de7", "title": "Notes on: On Adversarial Mixup Resynthesis by Beckham, C., Honari, S., Verma, V., Lamb, A., Ghadiri, F., Hjelm, R. D., Bengio, Y., … (2019)", "url": "https://hugocisneros.com/notes/beckhamadversarialmixupresynthesis2019/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a7e63e0f8", "title": "Notes on: PCGRL: Procedural Content Generation via Reinforcement Learning by Khalifa, A., Bontrager, P., Earle, S., & Togelius, J. (2020)", "url": "https://hugocisneros.com/notes/khalifapcgrlproceduralcontent2020/", "published_at": "2021-03-25T08:57:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a7f1c7876", "title": "Notes on: POET: open-ended coevolution of environments and their optimized solutions by Wang, R., Lehman, J., Clune, J., & Stanley, K. O. 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I Do Not Have a Drug Problem", "url": "https://hugocisneros.com/bookmarks/iamaheroinuseridonothaveadrugproblem/", "published_at": "2021-02-18T14:09:51+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a8b416f91", "title": "Regular expressions", "url": "https://hugocisneros.com/notes/regular_expressions/", "published_at": "2021-02-16T20:10:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a8b729d62", "title": "Novelty search", "url": "https://hugocisneros.com/notes/novelty_search/", "published_at": "2021-02-11T08:34:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a8c6891ab", "title": "Search algorithms", "url": "https://hugocisneros.com/notes/search_algorithms/", "published_at": "2021-02-10T14:16:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a8c782cef", "title": "Talk: The Importance of Open-Endedness in AI and Machine Learning", "url": "https://hugocisneros.com/notes/talk_the_importance_of_open_endedness_in_ai_and_machine_learning/", "published_at": "2021-02-10T10:03:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a8cb7f586", "title": "Picbreeder", "url": "https://hugocisneros.com/notes/picbreeder/", "published_at": "2021-02-10T10:02:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a8d43867d", "title": "Nyström method", "url": "https://hugocisneros.com/notes/nystrom_method/", "published_at": "2021-02-10T08:36:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a8dcada3b", "title": "Kernel Machine", "url": "https://hugocisneros.com/notes/kernel_machine/", "published_at": "2021-02-05T12:48:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a8ec76b90", "title": "Ditherpunk — The article I wish I had about monochrome image dithering", "url": "https://hugocisneros.com/bookmarks/ditherpunkthearticleiwishihadaboutmonochromeimagedithering/", "published_at": "2021-01-09T15:17:22+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a8f153025", "title": "Python Jupyter Notebooks in Excel", "url": "https://hugocisneros.com/bookmarks/pythonjupyternotebooksinexcel/", "published_at": "2021-01-08T11:21:15+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a8ff794db", "title": "norvig/pytudes", "url": "https://hugocisneros.com/bookmarks/norvigpytudes/", "published_at": "2021-01-08T08:34:40+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a9006da90", "title": "A half-hour to learn Rust", "url": "https://hugocisneros.com/bookmarks/ahalfhourtolearnrust/", "published_at": "2021-01-02T18:11:51+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a90f0e341", "title": "Three things I wish I’d known learning Rust", "url": "https://hugocisneros.com/bookmarks/threethingsiwishidknownlearningrust/", "published_at": "2020-12-26T00:02:16+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a91db06d3", "title": "Gradient flow", "url": "https://hugocisneros.com/notes/gradient_flow/", "published_at": "2020-12-09T13:11:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a92d6a360", "title": "Privacy-preserving machine learning", "url": "https://hugocisneros.com/notes/privacy_preserving_machine_learning/", "published_at": "2020-12-02T10:16:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a92e7cd08", "title": "Homomorphic encryption", "url": "https://hugocisneros.com/notes/fully_homomorphic_encryption/", "published_at": "2020-12-02T09:28:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a937c046c", "title": "Graph convolutional networks", "url": "https://hugocisneros.com/notes/graph_convolutional_networks/", "published_at": "2020-12-01T14:34:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a938ca54c", "title": "Complexity of cellular automata", "url": "https://hugocisneros.com/notes/complexity_of_cellular_automata/", "published_at": "2020-11-25T08:20:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a9418165c", "title": "Rainbow tables", "url": "https://hugocisneros.com/notes/rainbow_tables/", "published_at": "2020-11-25T08:14:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a94e6f7f7", "title": "Everything is an X", "url": "https://hugocisneros.com/bookmarks/everythingisanx/", "published_at": "2020-11-16T08:46:43+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a956f2fab", "title": "One-liners", "url": "https://hugocisneros.com/bookmarks/oneliners/", "published_at": "2020-11-12T15:21:13+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a96182319", "title": "Self-replication", "url": "https://hugocisneros.com/notes/self_replication/", "published_at": "2020-11-12T10:49:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a968058f3", "title": "Dirichlet energy", "url": "https://hugocisneros.com/notes/dirichlet_energy/", "published_at": "2020-11-10T08:58:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a96ce3627", "title": "Don’t Forget About Associative Memories", "url": "https://hugocisneros.com/bookmarks/dontforgetaboutassociativememories/", "published_at": "2020-11-09T11:36:53+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a97520b60", "title": "Stack Videos Horizontally, Vertically, in a Grid With FFmpeg", "url": "https://hugocisneros.com/bookmarks/stackvideoshorizontallyverticallyinagridwithffmpeg/", "published_at": "2020-11-08T15:19:38+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a97a17e02", "title": "Use echo/printf to write images in 5 LoC with zero libraries or headers", "url": "https://hugocisneros.com/bookmarks/useechoprintftowriteimagesin5locwithzerolibrariesorheaders/", "published_at": "2020-11-05T11:49:33+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a986f5542", "title": "Hadamard product", "url": "https://hugocisneros.com/notes/hadamard_product/", "published_at": "2020-11-05T09:23:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a991cb126", "title": "The Unreasonable Syntactic Expressivity of RNNs", "url": "https://hugocisneros.com/bookmarks/theunreasonablesyntacticexpressivityofrnns/", "published_at": "2020-11-05T08:25:01+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a99957147", "title": "Learn Vim For the Last Time: A Tutorial and Primer", "url": "https://hugocisneros.com/bookmarks/learnvimforthelasttimeatutorialandprimer/", "published_at": "2020-11-04T16:03:05+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a9a2f7fff", "title": "Wavelets", "url": "https://hugocisneros.com/notes/wavelets/", "published_at": "2020-11-04T08:23:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a9a885b37", "title": "Signal processing", "url": "https://hugocisneros.com/notes/signal_processing/", "published_at": "2020-11-04T08:18:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a9b38da81", "title": "Image processing", "url": "https://hugocisneros.com/notes/image_processing/", "published_at": "2020-11-04T08:17:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a9b5c6f89", "title": "Fast Inverse Square Root", "url": "https://hugocisneros.com/bookmarks/fastinversesquareroot/", "published_at": "2020-11-03T14:21:18+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a9c5155a8", "title": "Neuroscience", "url": "https://hugocisneros.com/notes/neuroscience/", "published_at": "2020-11-02T14:58:00+00:00" }, { "id": "01a08784-8f7d-701d-bd92-b57a9c675a6c", "title": "Dynamical systems", "url": "https://hugocisneros.com/notes/dynamical_systems/", "published_at": "2020-10-27T19:26:00+00:00" } ] posts Claim your blog
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2021

Entropyoriginal ↗
25 Mar 2021
Kolmogorov complexityoriginal ↗
25 Mar 2021
Minimum description lengthoriginal ↗
25 Mar 2021
Neural tangent kerneloriginal ↗
25 Mar 2021
Notes on: A model of urban evolution based on innovation diffusion by Raimbault, J. (2020)original ↗
25 Mar 2021
Notes on: Evolving Neural Networks through Augmenting Topologies by Stanley, K. O., & Miikkulainen, R. (2002)original ↗
25 Mar 2021
Notes on: Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems by Reinke, C., Etcheverry, M., & Oudeyer, P. (2020)original ↗
25 Mar 2021
Notes on: Network Deconvolution by Ye, C., Evanusa, M., He, H., Mitrokhin, A., Goldstein, T., Yorke, J. A., Fermuller, Cornelia, … (2020)original ↗
25 Mar 2021
Notes on: Neuroevolution: from architectures to learning by Floreano, D., Dürr, P., & Mattiussi, C. (2008)original ↗
25 Mar 2021
Notes on: On the expressive power of programming languages by Felleisen, M. (1991)original ↗
25 Mar 2021
PCAoriginal ↗
25 Mar 2021
Quality diversityoriginal ↗
25 Mar 2021
Turing degreeoriginal ↗
25 Mar 2021
Assembly theoryoriginal ↗
25 Mar 2021
CMA-ESoriginal ↗
25 Mar 2021
Notes on: A Computer Scientist's View of Life, the Universe, and Everything by Schmidhuber, J. (1999)original ↗
25 Mar 2021
Notes on: A new structurally dissolvable self-reproducing loop evolving in a simple cellular automata space by Sayama, H. (1999)original ↗
25 Mar 2021
Notes on: Adapting to Unseen Environments through Explicit Representation of Context by Tutum, C., & Miikkulainen, R. (2020)original ↗
25 Mar 2021
Notes on: An Integrated Perspective on the Constitutive and Interactive Dimensions of Autonomy by Beer, R. D. (2020)original ↗
25 Mar 2021
Notes on: Cellular automata as convolutional neural networks by Gilpin, W. (2018)original ↗
25 Mar 2021
Notes on: Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data by Bender, E. M., & Koller, A. (2020)original ↗
25 Mar 2021
Notes on: Combinatory Chemistry: Towards a Simple Model of Emergent Evolution by Kruszewski, G., & Mikolov, T. (2020)original ↗
25 Mar 2021
Notes on: Complexity and evolution: What everybody knows by McShea, D. W. (1991)original ↗
25 Mar 2021
Notes on: Curiosity-Driven Exploration by Self-Supervised Prediction by Pathak, D., Agrawal, P., Efros, A. A., & Darrell, T. (2017)original ↗
25 Mar 2021
Notes on: Developmental mappings and phenotypic complexity by Lehre, P. K., & Haddow, P. C. (2003)original ↗
25 Mar 2021
Notes on: Diversity preservation in minimal criterion coevolution through resource limitation by Brant, J. C., & Stanley, K. O. (2020)original ↗
25 Mar 2021
Notes on: Drinking from a Firehose: Continual Learning with Web-scale Natural Language by Hu, H., Sener, O., Sha, F., & Koltun, V. (2020)original ↗
25 Mar 2021
Notes on: Evolved Open-Endedness, Not Open-Ended Evolution by Pattee, H. H., & Sayama, H. (2019)original ↗
25 Mar 2021
Notes on: Information-Theoretic Probing with Minimum Description Length by Voita, E., & Titov, I. (2020)original ↗
25 Mar 2021
Notes on: Learning Transferable Architectures for Scalable Image Recognition by Zoph, B., Vasudevan, V., Shlens, J., & Le, Q. V. (2018)original ↗
25 Mar 2021
Notes on: Modeling systems with internal state using evolino by Wierstra, D., Gomez, F. J., & Schmidhuber, J. (2005)original ↗
25 Mar 2021
Notes on: Molecule Attention Transformer by Maziarka, Ł., Danel, T., Mucha, S., Rataj, K., Tabor, J., & Jastrzębski, S. (2020)original ↗
25 Mar 2021
Notes on: Neural Architecture Search with Reinforcement Learning by Zoph, B., & Le, Q. V. (2017)original ↗
25 Mar 2021
Notes on: Neural Circuit Policies Enabling Auditable Autonomy by Lechner, M., Hasani, R., Amini, A., Henzinger, T. A., Rus, D., & Grosu, R. (2020)original ↗
25 Mar 2021
Notes on: On Adversarial Mixup Resynthesis by Beckham, C., Honari, S., Verma, V., Lamb, A., Ghadiri, F., Hjelm, R. D., Bengio, Y., … (2019)original ↗
25 Mar 2021
Notes on: PCGRL: Procedural Content Generation via Reinforcement Learning by Khalifa, A., Bontrager, P., Earle, S., & Togelius, J. (2020)original ↗
25 Mar 2021
Notes on: POET: open-ended coevolution of environments and their optimized solutions by Wang, R., Lehman, J., Clune, J., & Stanley, K. O. (2019)original ↗
25 Mar 2021
Notes on: Regenerating Soft Robots through Neural Cellular Automata by Horibe, K., Walker, K., & Risi, S. (2021)original ↗
25 Mar 2021
Notes on: Reservoir Computing in Artificial Spin Ice by Jensen, J. H., & Tufte, G. (2020)original ↗
25 Mar 2021
Notes on: Seeking open-ended evolution in Swarm Chemistry by Sayama, H. (2011)original ↗
25 Mar 2021
Notes on: Spontaneous fine-tuning to environment in many-species chemical reaction networks by Horowitz, J. M., & England, J. L. (2017)original ↗
25 Mar 2021
Notes on: The Architecture of Complexity by Simon, H. A. (1962)original ↗
25 Mar 2021
Notes on: Transition phenomena in cellular automata rule space by Li, W., Packard, N. H., & Langton, C. G. (1990)original ↗
25 Mar 2021
Recurrent neural networksoriginal ↗
25 Mar 2021
Algorithmic Information theoryoriginal ↗
25 Mar 2021
Convolutional neural networksoriginal ↗
25 Mar 2021
Gödel's theoremoriginal ↗
25 Mar 2021
Halting probabilityoriginal ↗
25 Mar 2021
Ordinary least squaresoriginal ↗
25 Mar 2021
Sed utilityoriginal ↗
25 Mar 2021
My Python testing style guideoriginal ↗
24 Mar 2021
Turing testoriginal ↗
24 Mar 2021
Network programmingoriginal ↗
24 Mar 2021
Networkingoriginal ↗
24 Mar 2021
Lambda calculusoriginal ↗
3 Mar 2021
Von Neumann's self-reproducing CAoriginal ↗
3 Mar 2021
Automatic differentiationoriginal ↗
3 Mar 2021
Why programming is a good medium for expressing poorly understood and sloppily-formulated ideasoriginal ↗
2 Mar 2021
Article: Why Sex? Biologists Find New Explanationsoriginal ↗
2 Mar 2021
Wirth's laworiginal ↗
2 Mar 2021
Graphsoriginal ↗
24 Feb 2021
Message-passing graph networksoriginal ↗
24 Feb 2021
Attention graph networksoriginal ↗
24 Feb 2021
Compilationoriginal ↗
22 Feb 2021
Implementation of Hex Gridsoriginal ↗
22 Feb 2021
I Am a Heroin User. I Do Not Have a Drug Problemoriginal ↗
18 Feb 2021
Regular expressionsoriginal ↗
16 Feb 2021
Novelty searchoriginal ↗
11 Feb 2021
Search algorithmsoriginal ↗
10 Feb 2021
Talk: The Importance of Open-Endedness in AI and Machine Learningoriginal ↗
10 Feb 2021
Picbreederoriginal ↗
10 Feb 2021
Nyström methodoriginal ↗
10 Feb 2021
Kernel Machineoriginal ↗
5 Feb 2021
Ditherpunk — The article I wish I had about monochrome image ditheringoriginal ↗
9 Jan 2021
Python Jupyter Notebooks in Exceloriginal ↗
8 Jan 2021
norvig/pytudesoriginal ↗
8 Jan 2021
A half-hour to learn Rustoriginal ↗
2 Jan 2021

2020

Three things I wish I’d known learning Rustoriginal ↗
26 Dec 2020
Gradient floworiginal ↗
9 Dec 2020
Privacy-preserving machine learningoriginal ↗
2 Dec 2020
Homomorphic encryptionoriginal ↗
2 Dec 2020
Graph convolutional networksoriginal ↗
1 Dec 2020
Complexity of cellular automataoriginal ↗
25 Nov 2020
Rainbow tablesoriginal ↗
25 Nov 2020
Everything is an Xoriginal ↗
16 Nov 2020
One-linersoriginal ↗
12 Nov 2020
Self-replicationoriginal ↗
12 Nov 2020
Dirichlet energyoriginal ↗
10 Nov 2020
Don’t Forget About Associative Memoriesoriginal ↗
9 Nov 2020
Stack Videos Horizontally, Vertically, in a Grid With FFmpegoriginal ↗
8 Nov 2020
Use echo/printf to write images in 5 LoC with zero libraries or headersoriginal ↗
5 Nov 2020
Hadamard productoriginal ↗
5 Nov 2020
The Unreasonable Syntactic Expressivity of RNNsoriginal ↗
5 Nov 2020
Learn Vim For the Last Time: A Tutorial and Primeroriginal ↗
4 Nov 2020
Waveletsoriginal ↗
4 Nov 2020
Signal processingoriginal ↗
4 Nov 2020
Image processingoriginal ↗
4 Nov 2020
Fast Inverse Square Rootoriginal ↗
3 Nov 2020
Neuroscienceoriginal ↗
2 Nov 2020
Dynamical systemsoriginal ↗
27 Oct 2020
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