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Bias and Variances in the double descent curve

Reconciling the Double Descent curve with older ideas

Scaling description of generalization with number of parameters in deep learning

A jamming transition from under-to over-parametrization affects generalization in deep learning

Conditioned Query Generation for Task-Oriented Dialogue Systems

Jamming transition as a paradigm to understand the loss landscape of deep neural networks

Electromagnetic Emission from Supermassive Binary Black Holes Approaching Merger