1 citations · 2 across the 3 of their papers we have counts for
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iLTM: Integrated Large Tabular Model
David Bonet, Marçal Comajoan Cara, Alvaro Calafell +2
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…
HyperFast: Instant Classification for Tabular Data
David Bonet, Daniel Mas Montserrat, Xavier Giró-i-Nieto +1
Training deep learning models and performing hyperparameter tuning can be computationally demanding and time-consuming. Meanwhile, traditional machine learning methods like gradien…