2 papers
cs.LG2026
NOMADD: Numerical Optimization of Models Adapting to Data Drift
Swapn Shah, Keith Burghardt
Tabular model performance degrades when feature distributions change over time or the relationship between features and outcome variables change over time, known as data drift and…
cs.AI2026
Implementing Tensor Logic: Unifying Datalog and Neural Reasoning via Tensor Contraction
Swapn Shah, Wlodek Zadrozny
The unification of symbolic reasoning and neural networks remains a central challenge in artificial intelligence. Symbolic systems offer reliability and interpretability but lack s…