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Open access Aug 2026

Hō‘ike: A Joint-Embedding Predictive Architecture for Transcriptome Data Generation with Diffusion Models

In biomarker discovery, access to sufficient quantities of condition-specific transcriptomic data is often limited by cohort size, privacy concerns, and domain shift between normal and condition populations. Generative modeling can augment scarce cohorts and probe distributional transitions. Furthermore, synthetic tran...

Phillip Souza, C. Ford · 0 citations
Review Open access Aug 2026

Kūkulu: Diffusion-Based Reconstruction of Antibody CDR Loops using a Structure-Aware Joint Embedding Predictive Architecture

Antibody complementarity-determining regions (CDRs), especially CDR-H3, are a dominant source of binding specificity but remain difficult to design due to coupled sequence-structure constraints and local geometric variability. Here we present Kukulu, a structure-aware Joint Embedding Predictive Architecture (JEPA) comb...

Seth Rabinowitz, Prbhuv Nigam, Nicholas Santolla et al. · 0 citations

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