Speaker: Alejandro Delgado Montero. Abstract: The recent Environment-Aware Speech and Sound Deepfake Detection (ESDD2) challenge addresses component-level audio deepfake detection across five classes of independent speech and environmental manipulations. We propose systems applying Multi-Head Feature Aggregation (MHFA) to pretrained self-supervised… Read More
From Supervised Prediction to Unsupervised Discovery: Decoding Latent Epigenetic States via Multi-Omic Manifold Learning
Speaker: Alfonso Rincón Pérez. Abstract: Bridging chromatin architecture to transcriptional regulation is essential for uncovering the epigenetic mechanisms driving gene expression. While supervised predictive models provide valuable benchmarks for discriminating active from repressed regimes, rigid classifications often struggle with the… Read More