Author

Emanuele Rodolà

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#machine learning Preprint Sep 2026

SAGE: Semantic Audio Generative Encoder

Audio autoencoders compress waveforms into compact latent representations that serve as the interface between raw audio and downstream models. Current systems navigate a three-way trade-off between reconstruction quality, semantic structure of the latent space, and inference speed, typically favoring one or two of thes...

Francesco Brigante, Luca Cerovaz, Davide Marincione et al. · 0 citations

#artificial intelligence Preprint Sep 2026

HEAT: Faster Fully Homomorphic Inference via Approximations-Weights Co-Adaptation

This work introduces Homomorphic Encryption-Aware Training (HEAT), a fine-tuning method that makes the per-nonlinearity iteration counts learnable, enabling them and the model weights to co-adapt during training.

Alessandro Zirilli, Davide Marincione, Evgenios M. Kornaropoulos et al. · 0 citations