4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.LG2026
VANDAM: Viewing a nucleotide sequence with DNA molecular priors
Jeremy Levy, Ariel Larey, Yury Nahshan +18
Contemporary Genomic Foundation Models (GFMs) rely on a DNA-as-a-string paradigm that employs masked token prediction objectives for pretraining. However, this abstraction does not…
cs.AI2026
JEPA-DNA: Grounding Genomic Foundation Models through Joint-Embedding Predictive Architectures
Ariel Larey, Elay Dahan, Amit Bleiweiss +15
Genomic Foundation Models (GFMs) typically rely on Masked Language Modeling (MLM) or Next-Token Prediction (NTP) to learn the "Laws of Nature". While effective at capturing local s…
cs.LG2020★ 4 cited
Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation
Omer Achrack, Raizy Kellerman, Ouriel Barzilay
Deep neural networks (DNNs) have made a revolution in numerous fields during the last decade. However, in tasks with high safety requirements, such as medical or autonomous driving…