1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Provable Benefits of Complex Parameterizations for Structured State Space Models
Yuval Ran-Milo, Eden Lumbroso, Edo Cohen-Karlik +3
Structured state space models (SSMs), the core engine behind prominent neural networks such as S4 and Mamba, are linear dynamical systems adhering to a specified structure, most no…
cs.SI2024★ 1 cited
Overcoming Order in Autoregressive Graph Generation
Edo Cohen-Karlik, Eyal Rozenberg, Daniel Freedman
Graph generation is a fundamental problem in various domains, including chemistry and social networks. Recent work has shown that molecular graph generation using recurrent neural…