Spline Function Insights
The effectiveness of spline function approximation is highlighted, emphasizing that a well-positioned partition can outperform higher polynomial degrees in representing data variety. Training deep networks allows for adaptive partitioning, leading to precise approximations concentrated around training points. Additionally, a new AI research lab is being established, focusing on LLM and Owenstein models, with opportunities for motivated researchers.In this clip
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Machine Learning Street Talk (MLST)
Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero
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