corpus.blog
41554 blogs · [ { "id": "01a08784-8f7b-710f-99a1-03d9d3187780", "title": "Reinforcement learning with human feedback", "url": "https://hugocisneros.com/notes/reinforcement_learning_with_human_feedback/", "published_at": "2023-02-13T12:23:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9d3df9d5c", "title": "BlenderBot 3", "url": "https://hugocisneros.com/notes/blenderbot_3/", "published_at": "2023-02-13T12:18:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9d4171172", "title": "Image Compression with Singular Value Decomposition", "url": "https://hugocisneros.com/bookmarks/imagecompressionwithsingularvaluedecomposition/", "published_at": "2023-02-12T16:42:50+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9d4854ffd", "title": "Lenia", "url": "https://hugocisneros.com/notes/lenia/", "published_at": "2023-02-02T17:23:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9d55d6f84", "title": "Neural network training", "url": "https://hugocisneros.com/notes/neural_network_training/", "published_at": "2023-02-02T17:19:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9d5a5a806", "title": "Neural architecture search", "url": "https://hugocisneros.com/notes/neural_architecture_search/", "published_at": "2023-02-02T17:17:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9d5e30b4f", "title": "Backpropagation", "url": "https://hugocisneros.com/notes/backpropagation/", "published_at": "2023-02-02T17:16:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9d66a887b", "title": "Notes on: Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks by Voelker, A., Kajić, I., & Eliasmith, C. (2019)", "url": "https://hugocisneros.com/notes/voelkerlegendrememoryunits2019/", "published_at": "2023-02-02T15:38:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9d73acf42", "title": "Energy", "url": "https://hugocisneros.com/notes/energy/", "published_at": "2023-01-27T10:03:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9d793e083", "title": "Make a Resume in LaTeX!", "url": "https://hugocisneros.com/bookmarks/makearesumeinlatex/", "published_at": "2023-01-24T16:56:53+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9d863c451", "title": "Carbon emissions", "url": "https://hugocisneros.com/notes/carbon_emissions/", "published_at": "2023-01-24T15:28:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9d9356411", "title": "Carbon capture", "url": "https://hugocisneros.com/notes/carbon_capture/", "published_at": "2023-01-24T15:20:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9d962c7bc", "title": "Carbon offsetting", "url": "https://hugocisneros.com/notes/carbon_offsetting/", "published_at": "2023-01-24T15:18:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9d9b1a0e3", "title": "Carbon tax", "url": "https://hugocisneros.com/notes/carbon_tax/", "published_at": "2023-01-24T15:18:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9daa52d63", "title": "Choosing a Postgres Primary Key", "url": "https://hugocisneros.com/bookmarks/choosingapostgresprimarykey/", "published_at": "2023-01-20T14:59:59+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9db791e5d", "title": "Monospace Typography ————————————————————————————————————————————————————————————————————————————————", "url": "https://hugocisneros.com/bookmarks/monospacetypography/", "published_at": "2023-01-20T11:43:03+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9dc0095b5", "title": "Climate", "url": "https://hugocisneros.com/notes/climate/", "published_at": "2023-01-16T20:10:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9dc1c01e1", "title": "Gig economy", "url": "https://hugocisneros.com/notes/gig_economy/", "published_at": "2023-01-11T14:50:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9dc84f92f", "title": "ALife 2020", "url": "https://hugocisneros.com/notes/alife_2020/", "published_at": "2023-01-11T08:48:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9dd70b72c", "title": "Transformers", "url": "https://hugocisneros.com/notes/transformers/", "published_at": "2023-01-05T13:13:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9de6d8cec", "title": "Radon transform", "url": "https://hugocisneros.com/notes/radon_transform/", "published_at": "2023-01-02T10:36:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9de8ba47c", "title": "Generative art", "url": "https://hugocisneros.com/notes/generative_art/", "published_at": "2022-12-28T12:44:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9de8cfc7f", "title": "Creative coding", "url": "https://hugocisneros.com/notes/creative_coding/", "published_at": "2022-12-28T12:43:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9debe7ded", "title": "Notes on: Efficient Neural Architecture Search via Parameter Sharing by Pham, H., Guan, M. Y., Zoph, B., Le, Q. V., & Dean, J. (2018)", "url": "https://hugocisneros.com/notes/phamefficientneuralarchitecture2018/", "published_at": "2022-12-23T16:40:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9dfb31a4b", "title": "The Modular Flow on the Space of Lattices", "url": "https://hugocisneros.com/bookmarks/themodularflowonthespaceoflattices/", "published_at": "2022-12-22T17:18:17+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e039ace1", "title": "Art", "url": "https://hugocisneros.com/notes/art/", "published_at": "2022-12-22T10:19:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e0e182f3", "title": "Art with Cellular Automata", "url": "https://hugocisneros.com/notes/art_with_cellular_automata/", "published_at": "2022-12-22T10:19:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e155a850", "title": "Machine learning", "url": "https://hugocisneros.com/notes/machine_learning/", "published_at": "2022-12-21T08:16:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e1c63b0f", "title": "Huffman coding", "url": "https://hugocisneros.com/notes/huffman_coding/", "published_at": "2022-12-20T15:59:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e1fa9439", "title": "Algorithmic bias", "url": "https://hugocisneros.com/notes/algorithmic_bias/", "published_at": "2022-12-20T15:25:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e232450e", "title": "Image classification", "url": "https://hugocisneros.com/notes/image_classification/", "published_at": "2022-12-20T15:12:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e2faf2ce", "title": "Object recognition", "url": "https://hugocisneros.com/notes/object_recognition/", "published_at": "2022-12-20T15:09:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e3410a34", "title": "Resource curse", "url": "https://hugocisneros.com/notes/resource_curse/", "published_at": "2022-12-20T14:08:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e3b1df23", "title": "Dutch disease", "url": "https://hugocisneros.com/notes/dutch_disease/", "published_at": "2022-12-20T13:54:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e3e52a12", "title": "Getting started with nmap", "url": "https://hugocisneros.com/bookmarks/gettingstartedwithnmap/", "published_at": "2022-12-19T11:00:11+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e4414f25", "title": "The rise and fall of peer review", "url": "https://hugocisneros.com/bookmarks/theriseandfallofpeerreview/", "published_at": "2022-12-19T10:20:39+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e441d607", "title": "How does GPT Obtain its Ability? Tracing Emergent Abilities of Language Models to their Sources", "url": "https://hugocisneros.com/bookmarks/howdoesgptobtainitsabilitytracingemergentabilitiesoflanguagemodelstotheirsources/", "published_at": "2022-12-15T10:49:37+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e4fa4008", "title": "Reinforcement learning", "url": "https://hugocisneros.com/notes/reinforcement_learning/", "published_at": "2022-12-14T19:41:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e54f8c77", "title": "The Idea That Eats Smart People", "url": "https://hugocisneros.com/bookmarks/theideathateatssmartpeople/", "published_at": "2022-11-30T21:20:59+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e5a7bc83", "title": "How to Finance a Credible Coal Transition", "url": "https://hugocisneros.com/bookmarks/howtofinanceacrediblecoaltransition/", "published_at": "2022-11-29T08:20:56+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e65aa105", "title": "Batteries", "url": "https://hugocisneros.com/notes/batteries/", "published_at": "2022-11-24T20:07:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e70b4766", "title": "Building arbitrary Life patterns in 15 gliders", "url": "https://hugocisneros.com/bookmarks/buildingarbitrarylifepatternsin15gliders/", "published_at": "2022-11-24T10:13:16+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e75b2a0e", "title": "Tree views in CSS", "url": "https://hugocisneros.com/bookmarks/treeviewsincss/", "published_at": "2022-11-21T10:38:35+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e7eadf78", "title": "Overhyping hydrogen as a fuel risks endangering net-zero goals", "url": "https://hugocisneros.com/bookmarks/overhypinghydrogenasafuelrisksendangeringnetzerogoals/", "published_at": "2022-11-16T22:13:35+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e802cfb0", "title": "Fourier transform", "url": "https://hugocisneros.com/notes/fourier_transform/", "published_at": "2022-11-16T08:23:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e850ee0f", "title": "Why is it Okay to Average Embeddings?", "url": "https://hugocisneros.com/bookmarks/whyisitokaytoaverageembeddings/", "published_at": "2022-11-10T08:03:05+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e91673e0", "title": "Why is Rosetta 2 fast?", "url": "https://hugocisneros.com/bookmarks/whyisrosetta2fast/", "published_at": "2022-11-09T21:43:54+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9e98f4b54", "title": "The Paper that Keeps Showing Up", "url": "https://hugocisneros.com/bookmarks/thepaperthatkeepsshowingup/", "published_at": "2022-10-31T09:08:12+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9ea1b1295", "title": "L-Systems", "url": "https://hugocisneros.com/notes/l_systems/", "published_at": "2022-10-20T13:11:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9ea72ba1c", "title": "Einops", "url": "https://hugocisneros.com/notes/einops/", "published_at": "2022-10-19T13:10:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9eb70419e", "title": "Diffusion models", "url": "https://hugocisneros.com/notes/diffusion_models/", "published_at": "2022-10-19T13:07:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9ebb023a6", "title": "Seven Sins of Numerical Linear Algebra", "url": "https://hugocisneros.com/bookmarks/sevensinsofnumericallinearalgebra/", "published_at": "2022-10-12T22:02:33+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9ec3af7b2", "title": "Simple 3D visualization with JAX raycasting", "url": "https://hugocisneros.com/bookmarks/simple3dvisualizationwithjaxraycasting/", "published_at": "2022-09-29T14:01:23+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9ed24e123", "title": "Frank-Wolfe algorithm", "url": "https://hugocisneros.com/notes/frank_wolfe_algorithm/", "published_at": "2022-09-22T10:44:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9ed54a3f2", "title": "Notes on: Git Re-Basin: Merging Models modulo Permutation Symmetries by Ainsworth, S. K., Hayase, J., & Srinivasa, S. (2022)", "url": "https://hugocisneros.com/notes/ainsworthgitrebasinmerging2022/", "published_at": "2022-09-19T09:09:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9edd04dce", "title": "Complex Systems", "url": "https://hugocisneros.com/notes/complex_systems/", "published_at": "2022-09-07T08:22:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9ee8eb0df", "title": "\"Treize thèses et quelques commentaires sur la politique aujourd’hui\" par Alain Badiou : QG : Le média libre", "url": "https://hugocisneros.com/bookmarks/treizeth%C3%A8sesetquelquescommentairessurlapolitiqueaujourdhuiparalainbadiouqglem%C3%A9dialibre/", "published_at": "2022-09-06T09:22:05+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9ef003dc2", "title": "Neoliberalism", "url": "https://hugocisneros.com/notes/neoliberalism/", "published_at": "2022-09-06T06:35:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9ef905e06", "title": "Gradient descent for wide two-layer neural networks – I : Global convergence", "url": "https://hugocisneros.com/notes/gradient_descent_for_wide_two_layer_neural_networks_i_global_convergence/", "published_at": "2022-09-01T06:46:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f06f7041", "title": "Linear programming", "url": "https://hugocisneros.com/notes/linear_programming/", "published_at": "2022-08-30T19:26:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f080b2ad", "title": "Hopfield Networks", "url": "https://hugocisneros.com/notes/hopfield_networks/", "published_at": "2022-08-30T19:25:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f0c246a9", "title": "Talk: Alife 2020 keynote Sara Walker - The Natural History of Information", "url": "https://hugocisneros.com/notes/talk_alife_2020_keynote_sara_walker_the_natural_history_of_information/", "published_at": "2022-08-30T19:18:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f0d8b443", "title": "Cellular automata", "url": "https://hugocisneros.com/notes/cellular_automata/", "published_at": "2022-08-30T19:15:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f1073fad", "title": "Finance", "url": "https://hugocisneros.com/notes/finance/", "published_at": "2022-08-30T17:01:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f1fa7f76", "title": "Continual learning", "url": "https://hugocisneros.com/notes/continual_learning/", "published_at": "2022-08-30T14:30:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f1fcaba2", "title": "Futures contracts", "url": "https://hugocisneros.com/notes/futures_contracts/", "published_at": "2022-08-30T14:29:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f2b8e66f", "title": "Visual Sum of Cubes", "url": "https://hugocisneros.com/bookmarks/visualsumofcubes/", "published_at": "2022-08-20T06:25:38+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f33bd07a", "title": "Unker non-linear writing system", "url": "https://hugocisneros.com/notes/unker_non_linear_writing_system/", "published_at": "2022-08-19T12:44:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f3afd06b", "title": "Optimal transport", "url": "https://hugocisneros.com/notes/optimal_transport/", "published_at": "2022-08-18T13:38:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f48c01f8", "title": "Graham scan", "url": "https://hugocisneros.com/notes/graham_scan/", "published_at": "2022-08-04T12:10:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f49d5be4", "title": "Kullback-leibler divergence", "url": "https://hugocisneros.com/notes/kullback_leibler_divergence/", "published_at": "2022-08-04T12:09:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f51f4fb1", "title": "Notes on: Fast and stable MAP-Elites in noisy domains using deep grids by Flageat, M., & Cully, A. (2020)", "url": "https://hugocisneros.com/notes/flageatfaststablemapelites2020/", "published_at": "2022-08-04T12:09:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f5f5bc65", "title": "Notes on: Resilient Life: An Exploration of Perturbed Autopoietic Patterns in Conway's Game of Life by Cika, A., Cohen, E., Kruszewski, G., Seet, L., Steinmann, P., & Yin, W. (2020)", "url": "https://hugocisneros.com/notes/cikaresilientlifeexploration2020/", "published_at": "2022-08-04T12:08:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f6749e3d", "title": "Notes on: Safe Reinforcement Learning through Meta-learned Instincts by Grbic, D., & Risi, S. (2020)", "url": "https://hugocisneros.com/notes/grbicsafereinforcementlearning2020/", "published_at": "2022-08-04T12:07:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f6db751d", "title": "Talk: Alife 2020 keynote Michael Levin - Robot Cancer", "url": "https://hugocisneros.com/notes/talk_alife_2020_keynote_michael_levin_robot_cancer/", "published_at": "2022-08-04T12:06:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f73fb5b6", "title": "Hilbert curve indexing", "url": "https://hugocisneros.com/notes/hilbert_curve_indexing/", "published_at": "2022-08-04T12:05:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f7fafec1", "title": "Notes on: Scaling down Deep Learning by Greydanus, S. (2020)", "url": "https://hugocisneros.com/notes/greydanusscalingdeeplearning2020/", "published_at": "2022-08-04T12:03:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f8b63882", "title": "Machine translation", "url": "https://hugocisneros.com/notes/machine_translation/", "published_at": "2022-08-04T11:31:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9f99fd47e", "title": "Benford's law", "url": "https://hugocisneros.com/notes/benford_s_law/", "published_at": "2022-08-04T11:20:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9fa61ac2c", "title": "Abolish the PhD", "url": "https://hugocisneros.com/bookmarks/abolishthephd/", "published_at": "2022-08-03T13:47:46+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9fb141fcf", "title": "t-SNE", "url": "https://hugocisneros.com/notes/t_sne/", "published_at": "2022-08-02T12:03:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9fb5a8522", "title": "Who Is Collecting Data from Your Car? – The Markup", "url": "https://hugocisneros.com/bookmarks/whoiscollectingdatafromyourcarthemarkup/", "published_at": "2022-08-02T11:29:01+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9fbe197db", "title": "La guerre de l’information", "url": "https://hugocisneros.com/bookmarks/laguerredelinformation/", "published_at": "2022-08-02T11:20:57+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9fc6c2f18", "title": "SQLite Internals: Pages & B-trees", "url": "https://hugocisneros.com/bookmarks/sqliteinternalspagesbtrees/", "published_at": "2022-08-02T10:13:31+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9fd1ef352", "title": "Adversarial examples", "url": "https://hugocisneros.com/notes/adversarial_examples/", "published_at": "2022-08-01T15:29:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9fd7acece", "title": "Snake in the tunnel", "url": "https://hugocisneros.com/notes/snake_in_the_tunnel/", "published_at": "2022-08-01T14:21:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9fe55b8b0", "title": "Europe", "url": "https://hugocisneros.com/notes/europe/", "published_at": "2022-08-01T13:23:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9ff3f2b2b", "title": "Differentiable Programming from Scratch", "url": "https://hugocisneros.com/bookmarks/differentiableprogrammingfromscratch/", "published_at": "2022-08-01T12:09:04+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03d9ffe95db2", "title": "Nuclear energy is clean", "url": "https://hugocisneros.com/bookmarks/nuclearenergyisclean/", "published_at": "2022-08-01T11:00:27+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03da0011d2b5", "title": "Is the Kalman filter a low-pass filter? Sometimes!", "url": "https://hugocisneros.com/bookmarks/isthekalmanfilteralowpassfiltersometimes/", "published_at": "2022-07-29T10:27:10+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03da003e73a2", "title": "Buttery Smooth \"10fps\" – Wunk", "url": "https://hugocisneros.com/bookmarks/butterysmooth10fpswunk/", "published_at": "2022-07-29T10:27:02+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03da00643e5b", "title": "How to create a Python package in 2022", "url": "https://hugocisneros.com/bookmarks/howtocreateapythonpackagein2022/", "published_at": "2022-07-28T09:22:08+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03da00cddfe2", "title": "GPT", "url": "https://hugocisneros.com/notes/gpt/", "published_at": "2022-07-27T10:19:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03da016241b0", "title": "Gato", "url": "https://hugocisneros.com/notes/gato/", "published_at": "2022-07-27T10:12:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03da01ba9a08", "title": "XLNet", "url": "https://hugocisneros.com/notes/xlnet/", "published_at": "2022-07-27T10:06:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03da01cc2cbe", "title": "XLM-RoBERTa", "url": "https://hugocisneros.com/notes/xlm_roberta/", "published_at": "2022-07-27T10:04:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03da023b4c2f", "title": "Wu Dao 2.0", "url": "https://hugocisneros.com/notes/wu_dao_2_0/", "published_at": "2022-07-27T09:52:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03da02803ed3", "title": "Turing-NLG", "url": "https://hugocisneros.com/notes/turing_nlg/", "published_at": "2022-07-27T09:48:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03da02f928f3", "title": "Vision transformer", "url": "https://hugocisneros.com/notes/vision_transformer/", "published_at": "2022-07-27T09:46:00+00:00" }, { "id": "01a08784-8f7b-710f-99a1-03da036d4971", "title": "Transformer-XL", "url": "https://hugocisneros.com/notes/transformer_xl/", "published_at": "2022-07-27T09:42:00+00:00" } ] posts Claim your blog
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2023

Reinforcement learning with human feedbackoriginal ↗
13 Feb 2023
BlenderBot 3original ↗
13 Feb 2023
Image Compression with Singular Value Decompositionoriginal ↗
12 Feb 2023
Leniaoriginal ↗
2 Feb 2023
Neural network trainingoriginal ↗
2 Feb 2023
Neural architecture searchoriginal ↗
2 Feb 2023
Backpropagationoriginal ↗
2 Feb 2023
Notes on: Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks by Voelker, A., Kajić, I., & Eliasmith, C. (2019)original ↗
2 Feb 2023
Energyoriginal ↗
27 Jan 2023
Make a Resume in LaTeX!original ↗
24 Jan 2023
Carbon emissionsoriginal ↗
24 Jan 2023
Carbon captureoriginal ↗
24 Jan 2023
Carbon offsettingoriginal ↗
24 Jan 2023
Carbon taxoriginal ↗
24 Jan 2023
Choosing a Postgres Primary Keyoriginal ↗
20 Jan 2023
Monospace Typography ————————————————————————————————————————————————————————————————————————————————original ↗
20 Jan 2023
Climateoriginal ↗
16 Jan 2023
Gig economyoriginal ↗
11 Jan 2023
ALife 2020original ↗
11 Jan 2023
Transformersoriginal ↗
5 Jan 2023
Radon transformoriginal ↗
2 Jan 2023

2022

Generative artoriginal ↗
28 Dec 2022
Creative codingoriginal ↗
28 Dec 2022
Notes on: Efficient Neural Architecture Search via Parameter Sharing by Pham, H., Guan, M. Y., Zoph, B., Le, Q. V., & Dean, J. (2018)original ↗
23 Dec 2022
The Modular Flow on the Space of Latticesoriginal ↗
22 Dec 2022
Artoriginal ↗
22 Dec 2022
Art with Cellular Automataoriginal ↗
22 Dec 2022
Machine learningoriginal ↗
21 Dec 2022
Huffman codingoriginal ↗
20 Dec 2022
Algorithmic biasoriginal ↗
20 Dec 2022
Image classificationoriginal ↗
20 Dec 2022
Object recognitionoriginal ↗
20 Dec 2022
Resource curseoriginal ↗
20 Dec 2022
Dutch diseaseoriginal ↗
20 Dec 2022
Getting started with nmaporiginal ↗
19 Dec 2022
The rise and fall of peer revieworiginal ↗
19 Dec 2022
How does GPT Obtain its Ability? Tracing Emergent Abilities of Language Models to their Sourcesoriginal ↗
15 Dec 2022
Reinforcement learningoriginal ↗
14 Dec 2022
The Idea That Eats Smart Peopleoriginal ↗
30 Nov 2022
How to Finance a Credible Coal Transitionoriginal ↗
29 Nov 2022
Batteriesoriginal ↗
24 Nov 2022
Building arbitrary Life patterns in 15 glidersoriginal ↗
24 Nov 2022
Tree views in CSSoriginal ↗
21 Nov 2022
Overhyping hydrogen as a fuel risks endangering net-zero goalsoriginal ↗
16 Nov 2022
Fourier transformoriginal ↗
16 Nov 2022
Why is it Okay to Average Embeddings?original ↗
10 Nov 2022
Why is Rosetta 2 fast?original ↗
9 Nov 2022
The Paper that Keeps Showing Uporiginal ↗
31 Oct 2022
L-Systemsoriginal ↗
20 Oct 2022
Einopsoriginal ↗
19 Oct 2022
Diffusion modelsoriginal ↗
19 Oct 2022
Seven Sins of Numerical Linear Algebraoriginal ↗
12 Oct 2022
Simple 3D visualization with JAX raycastingoriginal ↗
29 Sept 2022
Frank-Wolfe algorithmoriginal ↗
22 Sept 2022
Notes on: Git Re-Basin: Merging Models modulo Permutation Symmetries by Ainsworth, S. K., Hayase, J., & Srinivasa, S. (2022)original ↗
19 Sept 2022
Complex Systemsoriginal ↗
7 Sept 2022
"Treize thèses et quelques commentaires sur la politique aujourd’hui" par Alain Badiou : QG : Le média libreoriginal ↗
6 Sept 2022
Neoliberalismoriginal ↗
6 Sept 2022
Gradient descent for wide two-layer neural networks – I : Global convergenceoriginal ↗
1 Sept 2022
Linear programmingoriginal ↗
30 Aug 2022
Hopfield Networksoriginal ↗
30 Aug 2022
Talk: Alife 2020 keynote Sara Walker - The Natural History of Informationoriginal ↗
30 Aug 2022
Cellular automataoriginal ↗
30 Aug 2022
Financeoriginal ↗
30 Aug 2022
Continual learningoriginal ↗
30 Aug 2022
Futures contractsoriginal ↗
30 Aug 2022
Visual Sum of Cubesoriginal ↗
20 Aug 2022
Unker non-linear writing systemoriginal ↗
19 Aug 2022
Optimal transportoriginal ↗
18 Aug 2022
Graham scanoriginal ↗
4 Aug 2022
Kullback-leibler divergenceoriginal ↗
4 Aug 2022
Notes on: Fast and stable MAP-Elites in noisy domains using deep grids by Flageat, M., & Cully, A. (2020)original ↗
4 Aug 2022
Notes on: Resilient Life: An Exploration of Perturbed Autopoietic Patterns in Conway's Game of Life by Cika, A., Cohen, E., Kruszewski, G., Seet, L., Steinmann, P., & Yin, W. (2020)original ↗
4 Aug 2022
Notes on: Safe Reinforcement Learning through Meta-learned Instincts by Grbic, D., & Risi, S. (2020)original ↗
4 Aug 2022
Talk: Alife 2020 keynote Michael Levin - Robot Canceroriginal ↗
4 Aug 2022
Hilbert curve indexingoriginal ↗
4 Aug 2022
Notes on: Scaling down Deep Learning by Greydanus, S. (2020)original ↗
4 Aug 2022
Machine translationoriginal ↗
4 Aug 2022
Benford's laworiginal ↗
4 Aug 2022
Abolish the PhDoriginal ↗
3 Aug 2022
t-SNEoriginal ↗
2 Aug 2022
Who Is Collecting Data from Your Car? – The Markuporiginal ↗
2 Aug 2022
La guerre de l’informationoriginal ↗
2 Aug 2022
SQLite Internals: Pages & B-treesoriginal ↗
2 Aug 2022
Adversarial examplesoriginal ↗
1 Aug 2022
Snake in the tunneloriginal ↗
1 Aug 2022
Europeoriginal ↗
1 Aug 2022
Differentiable Programming from Scratchoriginal ↗
1 Aug 2022
Nuclear energy is cleanoriginal ↗
1 Aug 2022
Is the Kalman filter a low-pass filter? Sometimes!original ↗
29 Jul 2022
Buttery Smooth "10fps" – Wunkoriginal ↗
29 Jul 2022
How to create a Python package in 2022original ↗
28 Jul 2022
GPToriginal ↗
27 Jul 2022
Gatooriginal ↗
27 Jul 2022
XLNetoriginal ↗
27 Jul 2022
XLM-RoBERTaoriginal ↗
27 Jul 2022
Wu Dao 2.0original ↗
27 Jul 2022
Turing-NLGoriginal ↗
27 Jul 2022
Vision transformeroriginal ↗
27 Jul 2022
Transformer-XLoriginal ↗
27 Jul 2022
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