Publications

Emanuele Zangrando, Piero Deidda, Simone Brugiapaglia, Nicola Guglielmi, Francesco Tudisco (2025). Provable Emergence of Deep Neural Collapse and Low-Rank Bias in $L^2$-Regularized Nonlinear Networks. ArXiv preprint.

Steffen Schotthöfer, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco, Jonas Kusch (2025). GeoLoRA: Geometric integration for parameter-efficient fine-tuning. In ICLR.

Emanuele Zangrando, Sara Venturini, Francesco Rinaldi, Francesco Tudisco (2025). dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation. In ICLR.

Emanuele Zangrando, Steffen Schotthöfer, Gianluca Ceruti, Jonas Kusch, Francesco Tudisco (2024). Geometry-aware training of factorized layers in tensor Tucker format. In NeurIPS.

Dayana Savostianova, Emanuele Zangrando, Francesco Tudisco (2024). Low-Rank Adversarial PGD Attack. In ArXiv preprint.

Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco (2023). Robust low-rank training via approximate orthonormal constraints. In NeurIPS.

Derek Sweet, Emanuele Zangrando, Francesca Meneghello (2023). HIJACK: Learning-based Strategies for Sound Classification Robustness to Adversarial Noise. In IEEE SMARTCOMP.

Steffen Schotthöfer

Equal contribution

, Emanuele Zangrando

Equal contribution

, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco (2022). Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations. In NeurIPS.