2 papers
q-bio.GN2026
C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation
Cameron Dufault, Scott Xu, Alan M. Moses
Despite the increasing scale of genome language models (gLMs), their ability to decode the function of regulatory sequences remains unclear. gLM pretraining relies on sequence reco…
cs.RO2026
Efficient Equivariant Transformer for Self-Driving Agent Modeling
Scott Xu, Dian Chen, Kelvin Wong +3
Accurately modeling agent behaviors is an important task in self-driving. It is also a task with many symmetries, such as equivariance to the order of agents and objects in the sce…