3 papers
cs.LG2025
STAR-VAE: Latent Variable Transformers for Scalable and Controllable Molecular Generation
Bum Chul Kwon, Ben Shapira, Moshiko Raboh +5
The chemical space of drug-like molecules is vast, motivating the development of generative models that must learn broad chemical distributions, enable conditional generation by ca…
q-bio.BM2025
Multi-view biomedical foundation models for molecule-target and property prediction
Parthasarathy Suryanarayanan, Yunguang Qiu, Shreyans Sethi +15
Quality molecular representations are key to foundation model development in bio-medical research. Previous efforts have typically focused on a single representation or molecular v…
q-bio.QM2025
MAMMAL -- Molecular Aligned Multi-Modal Architecture and Language
Yoel Shoshan, Moshiko Raboh, Michal Ozery-Flato +18
Large language models applied to vast biological datasets have the potential to transform biology by uncovering disease mechanisms and accelerating drug development. However, curre…