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cs.LG2026
REFINEPPO: Learning Continuous Control Policies by Iterative Action Refinement
Sachini Weerasekara, Sagar Kamarthi, Jacqueline Isaacs
Deep reinforcement learning (DRL) has achieved strong performance across a wide range of continuous-control problems. These continuous-control policies, however, are often defined…
cs.LG2026
Prototype Guided Post-pretraining for Single-Cell Representation Learning
Sachini Weerasekara, Natasha Darras, Sagar Kamarthi +2
Single-cell representation learning (SCRL) from gene expression data offers a way to uncover the complex regulatory logic underlying cellular function. Inspired by large language m…
cs.LG2025
Prediction of Clinical Complication Onset using Neural Point Processes
Sachini Weerasekara, Sagar Kamarthi, Jacqueline Isaacs
Predicting medical events in advance within critical care settings is paramount for patient outcomes and resource management. Utilizing predictive models, healthcare providers can…