3 papers
cs.LG2025
ProteinPNet: Prototypical Part Networks for Concept Learning in Spatial Proteomics
Louis McConnell, Jieran Sun, Theo Maffei +2
Understanding the spatial architecture of the tumor microenvironment (TME) is critical to advance precision oncology. We present ProteinPNet, a novel framework based on prototypica…
cs.LG2025
Counterfactual Generative Modeling with Variational Causal Inference
Yulun Wu, Louie McConnell, Claudia Iriondo
Estimating an individual's counterfactual outcomes under interventions is a challenging task for traditional causal inference and supervised learning approaches when the outcome is…
cs.LG2025
Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families
Louis McConnell
In settings where both spurious and causal predictors are available, standard neural networks trained under the objective of empirical risk minimization (ERM) with no additional in…