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GITEX GLOBAL 2025
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Explainability Through Systematicity: The Hard Systematicity Challenge for Artificial Intelligence
arxiv.org·2d
DNN-based Methods of Jointly Sensing Number and Directions of Targets via a Green Massive H2AD MIMO Receiver
arxiv.org·1d
A thermodynamic approach to machine learning: How optimal transport theory can improve generative models
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From Propagator to Oscillator: The Dual Role of Symmetric Differential Equations in Neural Systems
arxiv.org·1d
Crackpot index (1998)
math.ucr.edu·1d
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(1) Fitting hierarchical models in genetics, (2) A Stan model that runs faster with 400,000 latent parameters, (3) Super-scalable penalized maximum likelihood i...
statmodeling.stat.columbia.edu·1d
The way we train AIs makes them more likely to spout bull
newscientist.com·15h
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