A Diffusion Theory for Deep Learning Dynamics: Stochastic Gradient Descent Escapes From Sharp Minima Exponentially Fast.

Research article (arXiv (Cornell University), 2020) · cited 12× · AI/ML
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A Diffusion Theory for Deep Learning Dynamics: Stochastic Gradient Descent Escapes From Sharp Minima Exponentially Fast.

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A Diffusion Theory for Deep Learning Dynamics: Stochastic Gradient Descent Escapes From Sharp Minima Exponentially Fast. is a scholarly article[1].

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BibTeX @misc{4ortxyz_a-diffusion-theory-for-deep-learning-dynamics-stochastic-gradient-descent-escapes-from-sharp-minima-exponentially-fast_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Diffusion Theory for Deep Learning Dynamics: Stochastic Gradient Descent Escapes From Sharp Minima Exponentially Fast.}}, year = {2026}, url = {https://4ort.xyz/entity/a-diffusion-theory-for-deep-learning-dynamics-stochastic-gradient-descent-escapes-from-sharp-minima-exponentially-fast}, note = {Accessed: 2026-05-24}}
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