Mikhail Parakhin Open-Sources Next-Gen Gaussianization Regularizer
iScienceLuvr · x · 2026-08-06
Former Microsoft executive Mikhail Parakhin introduced the next iteration of his Gaussianization regularizer and open-sourced it on GitHub.
- Technical Highlights: The new method is faster, robust in high-dimensionality, necessary and sufficient, with a linear-in-batch-size approximation.
- Context: This builds upon a blog post by @rezabyt discussing SIGReg, the main component of Yann LeCun's LeJEPA.
- Open-Source Release: Parakhin released the code for Wristband Gaussian Loss in his ml-tidbits repo. He noted being stuck on this representation-learning problem for 7 years before finally cracking it via an adversarial collaboration with GPT-5.2 Pro.
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