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Joshua DeOliveira

2 accepted papers

2026

Neural Tangent Kernels Under Stochastic Data Augmentation

AAAI 2026technical

The learning dynamics of modern neural networks remain an open problem in deep learning. The Neural Tangent Kernel (NTK) offers an elegant description of training dynamics in the infinite‑width limit, yet its classical formulation assumes a static data set. Modern model training practice departs fro

Cited by 0SourcePDFScholar
2025

The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training

AAAI 2025technical

Developments in deep neural nets have trended towards increasingly larger overparameterized architectures, resulting in lengthy training sessions with ever more elusive training dynamics. Thus, ensuring these models learn accurate generalizable representations of data efficiently is challenging. Pre…

Cited by 0SourcePDFScholar