Reconstructing evolutionary trajectories of mutations in cancer. - Yulia Rubanova; Ruian Shi; Roujia Li; Jeff Wintersinger; Amit G. Deshwar; Nil Sahin; Quaid Morris (ICLR (Workshop), 2018)

The evolutionary history of 2,658 cancers. - Moritz Gerstung; Clemency Jolly; Ignaty Leshchiner; Stefan C. Dentro; Santiago Gonzalez; Thomas J. Mitchell; Yulia Rubanova; Pavana Anur; Kaixian Yu; Maxime Tarabichi; Amit G. Deshwar; Jeff Wintersinger; et al. (Nat., 2020)

Segmenting Hybrid Trajectories using Latent ODEs. - Ruian Shi; Quaid Morris (ICML, 2021)

PAN-cODE: COVID-19 forecasting using conditional latent ODEs. - Ruian Shi; Haoran Zhang 003; Quaid Morris (J. Am. Medical Informatics Assoc., 2022)

Structured Neural Networks for Density Estimation and Causal Inference. - Asic Q. Chen; Ruian Shi; Xiang Gao 019; Ricardo Baptista; Rahul G. Krishnan (NeurIPS, 2023)

Splicing Up Your Predictions with RNA Contrastive Learning. - Philip Fradkin; Ruian Shi; Bo Wang 044; Brendan J. Frey; Leo J. Lee (CoRR, 2023)