Mol-JEPA: A multimodal Joint Embedding Predictive Architecture for Molecules
Across various benchmarks, it is shown that the representations learned by Mol-JEPA deliver strong performance, demonstrating the value of incorporating biochemical context through latent space prediction.
Florian Rottach, Sebastian Schieferdecker, William Rudman et al.
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