2 papers
cs.LG2026
When Tabular Foundation Models Transfer Across Modalities: A Systematic Evaluation Across 95 Datasets, 7 Modalities, and Two Regimes
Julien Lafrance
We present a single classification pipeline that combines an Equiangular Tight Frame (ETF) preprocessing stage with a tabular foundation model for in-context inference, applied ide…
cs.LG2026
Causal Parametric Drift Simulation: A Digital Twin Framework for Classifier Robustness Evaluation
Julien Lafrance, Richard Khoury, Véronique Tremblay
Machine learning classifiers in dynamic environments face concept drift -- changes in the data-generating process that degrade performance. Conventional evaluation via static test…