activity
20222025
most citedDiffusion Models for Graphs Benefit From Discrete State Spaces

3 citations · 3 across the 3 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

cs.LG2024

HiPPO-Prophecy: State-Space Models can Provably Learn Dynamical Systems in Context

Federico Arangath Joseph, Kilian Konstantin Haefeli, Noah Liniger +1

This work explores the in-context learning capabilities of State Space Models (SSMs) and presents, to the best of our knowledge, the first theoretical explanation of a possible und…