Emanuele Zangrando

13 papers A* 5B 1Journal 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neural-HSS: Hierarchical Semi-Separable Neural PDE Solver.
CoRR
Pietro Sittoni, Emanuele Zangrando, Angelo A. Casulli, Nicola Guglielmi, Francesco Tudisco
2025 A* conf
GeoLoRA: Geometric integration for parameter efficient fine-tuning.
ICLR
Steffen Schotthöfer, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco, Jonas Kusch
2025 A* conf
dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation.
ICLR
Emanuele Zangrando, Sara Venturini, Francesco Rinaldi, Francesco Tudisco
2024 J jnl
GeoLoRA: Geometric integration for parameter efficient fine-tuning.
CoRR
Steffen Schotthöfer, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco, Jonas Kusch
2024 A* conf
Geometry-aware training of factorized layers in tensor Tucker format.
NeurIPS
Emanuele Zangrando, Steffen Schotthöfer, Gianluca Ceruti, Jonas Kusch, Francesco Tudisco
2024 J jnl
Low-Rank Adversarial PGD Attack.
CoRR
Dayana Savostianova, Emanuele Zangrando, Francesco Tudisco
2024 J jnl
Neural Rank Collapse: Weight Decay and Small Within-Class Variability Yield Low-Rank Bias.
CoRR
Emanuele Zangrando, Piero Deidda, Simone Brugiapaglia, Nicola Guglielmi, Francesco Tudisco
2023 B conf
HIJACK: Learning-based Strategies for Sound Classification Robustness to Adversarial Noise.
SMARTCOMP
Derek Sweet, Emanuele Zangrando, Francesca Meneghello
2023 J jnl
Rank-adaptive spectral pruning of convolutional layers during training.
CoRR
Emanuele Zangrando, Steffen Schotthöfer, Gianluca Ceruti, Jonas Kusch, Francesco Tudisco
2023 A* conf
Robust low-rank training via approximate orthonormal constraints.
NeurIPS
Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco
2023 J jnl
Robust low-rank training via approximate orthonormal constraints.
CoRR
Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco
2022 A* conf
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations.
NeurIPS
Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco
2022 J jnl
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations.
CoRR
Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco