4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.IT2026
On Inverse Problems, Parameter Estimation, and Domain Generalization
Deborah Pereg
Signal restoration and inverse problems are key elements in most real-world data science applications. In the past decades, with the emergence of machine learning methods, inversio…
cs.LG2026★ 4 cited
Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets
Deborah Pereg, Martin Villiger, Brett Bouma +1
The statistical supervised learning framework assumes an input-output set with a joint probability distribution that is reliably represented by the training dataset. The learner is…