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optimizationgeometrydeep-learningriemannian
Akhilesh Yadav
Applied mathematician and AI practitioner. Founder of MathLumen, exploring mathematics behind machine learning and scientific AI.
Why optimization in deep learning is a geometric problem

Article content is being prepared. Check back soon.
Applied mathematician and AI practitioner. Founder of MathLumen, exploring mathematics behind machine learning and scientific AI.

Inside the equation that powers modern AI
The Transformer architecture revolutionized AI with a single mechanism: self-attention. We break down the linear...

The Riemannian manifold of probability distributions
Information geometry equips the space of probability distributions with a Riemannian metric — the Fisher information....