Subhomogeneous Deep Equilibrium Models

Pietro Sittoni, Francesco Tudisco
preprint, (2024)
arxiv

Contractivity of neural ODEs: an eigenvalue optimization problem

Nicola Guglielmi, Arturo De Marinis, Anton Savostianov, Francesco Tudisco
preprint, (2024)
arxiv

Neural rank collapse: Weight decay and small within-class variability yield low-rank bias

Emanuele Zangrando, Piero Deidda, Simone Brugiapaglia, Nicola Guglielmi, Francesco Tudisco
preprint, (2024)
arxiv

Learning the effective order of a hypergraph dynamical system

Leonie Neuhäuser, Michael Scholkemper, Francesco Tudisco, Michael T. Schaub
preprint, (2023)
arxiv

Robust low-rank training via approximate orthonormal constraints

Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco
Advances in Neural Information Processing Systems (NeurIPS), (2023)
arxiv code

Rank-adaptive spectral pruning of convolutional layers during training

Emanuele Zangrando, Steffen Schotthöfer, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco
preprint, (2024)
arxiv

Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations

Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco
Advances in Neural Information Processing Systems (NeurIPS), (2022)
arxiv doi code