Omead Pooladzandi ✈️ NeurIPS'24

@hessianfree.bsky.social

Optimization Generative Modeling @Caltech, PhD @UCLA. ex Research Scientist Intern @AIatMeta (opinions are my own) why is jax so difficult

Newton-Schulz isn't the answer even for instantaneous whitening. PSGD: MSE( Q.T Q H , I ) = 5.2e-3 Zero-Power NS 100 iterations: MSE( NS(G) , I ) = 8.2e-1 True Inverse: MSE( H^(-1/2) H H^(-1/2), I ) = 6.1e-3 PSGD whitens information significantly better than the Newton-Schulz iters found in Muon

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SmolVLM was just released 🚀 It's a great, small, and fully open VLM that I'm really excited about for fine-tuning and on-device use cases 💻 It also comes with 0-day MLX support via mlx-vlm, here's it running at > 80 tok/s on my M1 Max 🤯

Radon Transform (RT) was formulated in 1917 but remained useless in practice until CT scanners were invented in the 60s But RT isn't just for CTs. It's a sort of generalization of marginals in probability RT g(p,θ): Shoot rays at θ+90 & offset p, measure line integrals of f(x,y) along the ray 1/n

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