219 citations · 347 across the 6 of their papers we have counts for
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cs.LG2022★ 73 cited
DiGress: Discrete Denoising diffusion for graph generation
Clement Vignac, Igor Krawczuk, Antoine Siraudin +3
This work introduces DiGress, a discrete denoising diffusion model for generating graphs with categorical node and edge attributes. Our model utilizes a discrete diffusion process…
cs.LG2022
Proximal Point Imitation Learning
Luca Viano, Angeliki Kamoutsi, Gergely Neu +2
This work develops new algorithms with rigorous efficiency guarantees for infinite horizon imitation learning (IL) with linear function approximation without restrictive coherence…