2 citations · 2 across the 4 of their papers we have counts for
3 papers · 1 filter
iLTM: Integrated Large Tabular Model
David Bonet, Marçal Comajoan Cara, Marçal Comajoan Cara +3
Tabular data underpins decisions across science, industry, and public services. Despite rapid progress, advances in deep learning have not fully carried over to the tabular domain,…
Compressive Meta-Learning
Daniel Mas Montserrat, David Bonet, Maria Perera +2
The rapid expansion in the size of new datasets has created a need for fast and efficient parameter-learning techniques. Compressive learning is a framework that enables efficient…
Feature Shift Localization Network
MÃriam Barrabés, Daniel Mas Montserrat, Kapal Dev +1
Feature shifts between data sources are present in many applications involving healthcare, biomedical, socioeconomic, financial, survey, and multi-sensor data, among others, where…