2 citations · 4 across the 10 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
cs.CV2026
PRIMFLOW: Learning Trajectory Primitives for Few-Step Distillation
Hongyi Fang, Benjia Zhou
Few-step trajectory distillation aims to learn accurate global updates from dense local supervision along a teacher's sampling trajectory. Existing approaches construct within-step…
cs.LG2026
Representation Alignment Rests on Linear Structure
Kiril Bangachev, Guy Bresler, Yury Polyanskiy
We investigate the Platonic Representation Hypothesis (PRH) through a tripartite statistical framework of representations: signal, bias, and noise. {1) Signal:} We propose that Pla…
cs.LG2026
Is Dimensionality a Barrier for Retrieval Models?
Kiril Bangachev, Guy Bresler, Jonathan Kogan +1
Why does the low dimensionality of representations, typically , not prevent modern embedding-based retrieval models from scaling to billions, or even trillions, of d…