2 papers
cs.LG2026
Disentangling Marginal Capacity from Geometry in Optimal-Transport Label Transfer
Ali Khodabandeh Yalabadi, Azim Dehghani Amirabad, Artem Moskalev +4
Optimal transport (OT) is widely used to align distributions and transfer labels between unpaired source and target data, but source-target composition shifts can cause rare classe…
cs.AI2026
VCLMU: Mechanism-Centric Virtual Cell World Modeling for Perturbation Response
Yuwei Miao, Azim Dehghani Amirabad, Scott Oloff +3
Predicting cellular responses to genetic perturbations is a central capability for virtual cells and a key step toward computational modeling of biological interventions. Most exis…