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Achieving 5.75-fold higher fine-tuning throughput, BioM-JEPA redefines how we approach representation learning in single-cell transcriptomics.
LaP-Forensics reveals that leveraging reconstruction-based evidence can significantly enhance deepfake detection accuracy against state-of-the-art generative models.
