1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Unifying Self-Supervised Clustering and Energy-Based Models
Emanuele Sansone, Robin Manhaeve
Self-supervised learning excels at learning representations from large amounts of data. At the same time, generative models offer the complementary property of learning information…
cs.LG2023
Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training
Emanuele Sansone, Robin Manhaeve
We introduce GEDI, a Bayesian framework that combines existing self-supervised learning objectives with likelihood-based generative models. This framework leverages the benefits of…
cs.LG2022★ 1 cited
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning
Emanuele Sansone, Robin Manhaeve
Self-supervised learning is a popular and powerful method for utilizing large amounts of unlabeled data, for which a wide variety of training objectives have been proposed in the l…