3 papers
cs.LG2026
Benchmarking Tabular Foundation Models for Conditional Density Estimation in Regression
Rafael Izbicki, Pedro L. C. Rodrigues
Conditional density estimation (CDE) - recovering the full conditional distribution of a response given tabular covariates - is essential in settings with heteroscedasticity, multi…
cs.LG2025
DiNo and RanBu: Lightweight Predictions from Shallow Random Forests
Tiago Mendonça dos Santos, Rafael Izbicki, Luís Gustavo Esteves
Random Forest ensembles are a strong baseline for tabular prediction tasks, but their reliance on hundreds of deep trees often results in high inference latency and memory demands,…
hep-ex2025
On the Utility Function of Experiments in Fundamental Science
Tommaso Dorigo, Michele Doro, Max Aehle +7
The majority of experiments in fundamental science today are designed to be multi-purpose: their aim is not simply to measure a single physical quantity or process, but rather to e…