Your Transformer is Secretly an EOT Solver
elonlit.com·15h·
Discuss: Hacker News
🧮Kolmogorov Complexity
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Optimal Information Combining for Multi-Agent Systems Using Adaptive Bias Learning
arxiv.org·16h
🧠Machine Learning
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Why wavelets is a bad choice for image coding
codecs.multimedia.cx·1d
📊Rate-Distortion Theory
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Your AI Models Aren’t Slow, but Your Data Pipeline Might Be
thenewstack.io·2h
🌊Streaming Systems
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Everything About Transformers
krupadave.com·1d
📝Text Parsing
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Turbocharge Your AI: A Smarter Way to Explore Decision Trees
dev.to·19h·
Discuss: DEV
🧠Learned Indexing
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Duality-Based Fixed Point Iteration Algorithm for Beamforming Design in ISAC Systems
arxiv.org·16h
🎯Performance Proofs
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Contribution-Guided Asymmetric Learning for Robust Multimodal Fusion under Imbalance and Noise
arxiv.org·16h
📊Rate-Distortion Theory
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Approximating Heavy-Tailed Distributions with a Mixture of Bernstein Phase-Type and Hyperexponential Models
arxiv.org·16h
🧮Kolmogorov Bounds
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From Lossy to Lossless Reasoning
manidoraisamy.com·2h·
Discuss: Hacker News
🔨Compilers
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Information-Theoretic Discrete Diffusion
arxiv.org·2d
📡Information theory
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Vectorized Context-Aware Embeddings for GAT-Based Collaborative Filtering
arxiv.org·16h
🕸️Graph Embeddings
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How fast can an LLM go?
fergusfinn.com·1d·
Discuss: Hacker News
🎯Emulator Accuracy
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Do LLMs Signal When They're Right? Evidence from Neuron Agreement
arxiv.org·16h
💻Local LLMs
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A Minimal Route to Transformer Attention
neelsomaniblog.com·1d·
Discuss: Hacker News
🧮Vector Embeddings
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InputDSA: Demixing then Comparing Recurrent and Externally Driven Dynamics
arxiv.org·16h
🧮Kolmogorov Complexity
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