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Gaussian concentration bounds for probabilistic cellular automata | Journal of Statistical Physics
link.springer.com·1d
🔲Cellular Automata
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The Transformer Architecture: A Deep Dive into How LLMs Actually Work
dev.to·2h·
Discuss: DEV
📝Text Parsing
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Human Processor Model
en.wikipedia.org·20h·
Discuss: Hacker News
🧠Intelligence Compression
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Information, Physics, and Computation (Oxford Graduate Texts): Mézard, Marc, Montanari, Andrea: 8601410201722: Amazon.com: Books
amazon.com·1d
📐Compression Mathematics
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Opening the Black Box of Deep Neural Networks via Information
paperium.net·1d·
Discuss: DEV
🧠Machine Learning
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Treating Functions as Vectors in Hilbert Space
hackaday.com·1d
📐Linear Algebra
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Running Code and Failing Models – Rajiv Shah
projects.rajivshah.com·1d
🧠Machine Learning
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Attention from First Principles
metaworld.me·3d·
Discuss: Lobsters, Hacker News
🧠Machine Learning
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A Convex Loss Function for Set Prediction with Optimal Trade-offs Between Size and Conditional Coverage
arxiv.org·4d
🧮Kolmogorov Complexity
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Measuring True Campaign Uplift in Noisy E-Commerce Data: A Practical Heuristic Approach
hackernoon.com·1d
📊Feed Optimization
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Keeping Probabilities Honest: The Jacobian Adjustment
towardsdatascience.com·2d
🎯Arithmetic Coding Theory
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How much of an NBA team’s won-loss record is from skill and how much is luck?
statmodeling.stat.columbia.edu·1d
🔗Constraint Handling
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Pokémon Team Optimization
nchagnet.pages.dev·1d·
Discuss: Hacker News
📈Linear programming
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Natural language processing for word sense disambiguation and information extraction
arxiv.org·14h·
Discuss: r/compsci
📥Feed Aggregation
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Port of Statistical Rethinking (2nd edition) code to Julia
shmuma.github.io·1h·
Discuss: Hacker News
λLambda Formalization
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New benchmark shows LLMs still can't do real scientific research
the-decoder.com
·1d
🧠Intelligence Compression
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
🧠Machine Learning
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Build & Train a Neural Network in Python Using TensorFlow, Keras & Scikit-Learn
statisticsglobe.com·3d
🧠Machine Learning
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An introduction to modular induction and some attempts to solve it
lesswrong.com·4d
🔲Cellular Automata
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From Zero to QED: An informal introduction to formality in Lean 4
sdiehl.github.io·1d
🔬Lean
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