79 citations · 261 across the 26 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility
Elisabeth Griesbauer, Claudia Czado, Arnoldo Frigessi +1
We propose TVineSynth, a vine copula based synthetic tabular data generator, which is designed to balance privacy and utility, using the vine tree structure and its truncation to d…
cs.LG2024
BoRA: Bayesian Hierarchical Low-Rank Adaption for Multi-Task Large Language Models
Simen Eide, Arnoldo Frigessi
This paper introduces Bayesian Hierarchical Low-Rank Adaption (BoRA), a novel method for finetuning multi-task Large Language Models (LLMs). Current finetuning approaches, such as…