<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Alexander Yukhimchuk | Kolar ML Lab</title><link>https://mkolar.coffeejunkies.org/authors/alexander-yukhimchuk/</link><atom:link href="https://mkolar.coffeejunkies.org/authors/alexander-yukhimchuk/index.xml" rel="self" type="application/rss+xml"/><description>Alexander Yukhimchuk</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><item><title>Gradient Clipping Beyond Vector Norms: A Spectral Approach for Matrix-Valued Parameters</title><link>https://mkolar.coffeejunkies.org/publication/yukhimchuk-2026-gradient/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/yukhimchuk-2026-gradient/</guid><description/></item><item><title>Privacy from Symmetry: Orthogonally Equivariant Transformers for LLM Inference</title><link>https://mkolar.coffeejunkies.org/publication/yukhimchuk-2026-privacy/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/yukhimchuk-2026-privacy/</guid><description/></item></channel></rss>