New Paper Alert! “Sheaf Theory: From Deep Geometry to Deep Learning” — where math reveals blindspots in current ML practices. Our researchers Anton Ayzenberg and German Magai (@MetatrolN) in collaboration with Thomas Gebhart at the University of Minnesota and Grigory Solomadin at the University of Strasbourg, give an overview into sheaf theory, using a nifty new algorithm for computing sheaf cohomology on finite posets (try saying that five times fast). Read it on Arxiv: arxiv.org/abs/2502.15476 #MachineLearning #TopologicalDeepLearning #SheafTheory #CategoryTheory #Cohomology #MathMeetsML #AppliedTopology #AI