Professor at UT Austin, Research in Machine Learning/AI and Optimization. Always rethinking teaching (English & Greek). Aspiring accordion street musician.
🚀 🇬🇷 A year in the making! I’ve just completed a set of 21 lectures in Machine Learning, in Greek, designed for high school students. The course introduces key ML concepts, coding in Python & PyTorch, and real-world AI applications. #MachineLearning#AI#EdTech#Greece
Μαθητές Γυμνασίου/Λυκείου στην Ελλάδα: άνοιξε ο Πανελλήνιος Διαγωνισμός Τεχνητής Νοημοσύνης (online).
Προθεσμία: 1 Μαρτίου 2026.
Διάλεξε 1 από τα προβλήματα και κάνε την 1η σου υποβολή. Links στο 1ο σχόλιο 👇
#ΤεχνητήΝοημοσύνη#AI#Πληροφορική
Really excited about these results. We’re using discrete diffusion for inverse problems. The key to it all is anchoring — an idea from our recent work on discrete diffusion for language modeling.
Continuous diffusion had a good run—now it’s time for Discrete diffusion!
Introducing Anchored Posterior Sampling (APS)
APS outperforms discrete and continuous baselines in terms of performance & scaling on inverse problems, stylization, and text-guided editing.
Harvard has set an example for other higher-ed institutions – rejecting an unlawful and ham-handed attempt to stifle academic freedom, while taking concrete steps to make sure all students at Harvard can benefit from an environment of intellectual inquiry, rigorous debate and mutual respect. Let’s hope other institutions follow suit.
🚀 🇬🇷 A year in the making! I’ve just completed a set of 21 lectures in Machine Learning, in Greek, designed for high school students. The course introduces key ML concepts, coding in Python & PyTorch, and real-world AI applications. #MachineLearning#AI#EdTech#Greece
Today, I'm excited to share something we've been working at Google. We present the first effective inversion and semantic editing method for rectified flow models like Flux. Think SDEdit but for the new generation of models. Results are truly beautiful. Link in next tweet 🧵 1/N