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ProbeWalk: Fast Estimation of Biharmonic Distance on Graphs via Probe-Driven Random Walks
arxiv.org·1d
🕸️Graph Algorithms
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Mechanistic Interpretability of Antibody Language Models Using SAEs
arxiv.org·1d
🎯Automata theory
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Inferring Compositional 4D Scenes without Ever Seeing One
arxiv.org·1d
🏺Computational Archaeology
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How Embeddings Actually Improve SEO: A Practical Guide for Developers
dev.to·2d·
Discuss: DEV
🧮Vector Embeddings
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Probabilistic Graph Neural Inference for satellite anomaly response operations during mission-critical recovery windows
dev.to·2d·
Discuss: DEV
🌀Riemannian Computing
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UG-FedDA: Uncertainty-Guided Federated Domain Adaptation for Multi-Center Alzheimer's Disease Detection
arxiv.org·1d
🧠Machine Learning
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Bits is all you need (and 3.6 bit what you have?) for resource-efficient LLMs?
atsentia.com·5d·
Discuss: Hacker News
💻Local LLMs
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Utility Boundary of Dataset Distillation: Scaling and Configuration-Coverage Laws
arxiv.org·1d
🧠Machine Learning
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Credal and Interval Deep Evidential Classifications
arxiv.org·1d
🧠Machine Learning
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Attention Lottery: DeepSeek, Sparse Attention, and the Future of AI Cognition
geeksinthewoods.substack.com·4d·
Discuss: Substack
🧠Intelligence Compression
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Training, Decoding, and Hallucination in Large Language Models: A Deep Dive
dev.to·2d·
Discuss: DEV
🤖Grammar Induction
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Show HN: Cbor.app – CBOR encoder/decoder with hex visualization
cbor.app·4d·
Discuss: Hacker News
🔐CBOR
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Show HN: Memory System for Claude Code and Other CLIs
github.com·4d·
Discuss: Hacker News
🌳Incremental Parsing
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Algorithms for Boolean Matrix Factorization using Integer Programming and Heuristics
arxiv.org·5d
🗂️Vector Databases
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Spending too much time on one AoC problem
richclubb.github.io·5d·
Discuss: Hacker News
🔩Systems Programming
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Quantum feature encoding optimization
arxiv.org·6d
⚛️Quantum Compression
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Spatio-Temporal Pattern Decoding of Hippocampal Ensemble Activity via Graph Neural Networks
dev.to·4d·
Discuss: DEV
🧠Neural Codecs
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Foundations of Diffusion Models in General State Spaces: A Self-Contained Introduction
arxiv.org·4d
🧠Machine Learning
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A Proof of P = NP
dev.to·4d·
Discuss: DEV
🎯Performance Proofs
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Approximate Optimal Active Learning of Decision Trees
arxiv.org·5d
🧠Machine Learning
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