Shannon Limits, Kolmogorov Complexity, Optimal Coding Theory, Information Mathematics
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humanely dealing with humungus crawlers
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More adventures in the land of AI and Open Source
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Methodological Insights into Structural Causal Modelling and Uncertainty-Aware Forecasting for Economic Indicators
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From Tokens to Theorems: Building a Neuro-Symbolic AI Mathematician
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ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction
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Anchoring Refusal Direction: Mitigating Safety Risks in Tuning via Projection Constraint
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