2 papers
cs.LG2026
Path-dependent Discrete Amortized Inference
Tiago da Silva, Esmeralda S. Whitammer, Salem Lahlou
We consider the problem of sampling compositional and discrete objects from a given unnormalized posterior distribution. Notably, recent studies have shown that this problem can be…
cs.LG2026
Gaussian Sheaf Neural Networks
André Ribeiro, Ana Luiza Tenório, Tiago da Silva +1
Graph Neural Networks (GNNs) have become the de facto standard for learning on relational data. While traditional GNNs' message passing is well suited for vector-valued node featur…