Slow NihAV week
codecs.multimedia.cx·1d
🎞️MKV Internals
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Physics-Informed Neural Networks for MIMO Beam Map and Environment Reconstruction
arxiv.org·6h
🧠Machine Learning
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Writing a competitive BZip2 encoder in Ada from scratch in a few days - part 4: programming
📦Deflate
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VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models
arxiv.org·6h
📊Learned Metrics
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NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge
arxiv.org·6h
💻Local LLMs
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REVE: A Foundation Model for EEG -- Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects
arxiv.org·6h
🧠Learned Codecs
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Additive Models Explained: A Computational Complexity Approach
arxiv.org·6h
🧮Kolmogorov Complexity
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By the power of grayscale!
🌀Fractal Compression
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PLAN: Proactive Low-Rank Allocation for Continual Learning
arxiv.org·6h
⧗Information Bottleneck
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From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD
arxiv.org·6h
🧠Machine Learning
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Correlation Dimension of Auto-Regressive Large Language Models
arxiv.org·6h
🧠Machine Learning
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Brain-tuning Improves Generalizability and Efficiency of Brain Alignment in Speech Models
arxiv.org·6h
🧠Intelligence Compression
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Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
arxiv.org·6h
🧠Learned Codecs
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CXR-LanIC: Language-Grounded Interpretable Classifier for Chest X-Ray Diagnosis
arxiv.org·6h
🧠Machine Learning
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Self-diffusion for Solving Inverse Problems
arxiv.org·6h
🌀Riemannian Computing
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Interpretable Next-token Prediction via the Generalized Induction Head
arxiv.org·6h
🧮Kolmogorov Complexity
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How to Scale LLM Apps Without Exploding Your Cloud Bill
hackernoon.com·13h
📄Text Chunking
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