1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Structured Neural Networks for Density Estimation and Causal Inference
Asic Q. Chen, Ruian Shi, Xiang Gao +2
Injecting structure into neural networks enables learning functions that satisfy invariances with respect to subsets of inputs. For instance, when learning generative models using…
cs.LG2023
Splicing Up Your Predictions with RNA Contrastive Learning
Philip Fradkin, Ruian Shi, Bo Wang +2
In the face of rapidly accumulating genomic data, our understanding of the RNA regulatory code remains incomplete. Recent self-supervised methods in other domains have demonstrated…