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2020 – today
- 2024
[i4]Emanuele Zangrando, Piero Deidda, Simone Brugiapaglia, Nicola Guglielmi, Francesco Tudisco:
Neural Rank Collapse: Weight Decay and Small Within-Class Variability Yield Low-Rank Bias. CoRR abs/2402.03991 (2024)- 2023
- [c3]Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco:
Robust low-rank training via approximate orthonormal constraints. NeurIPS 2023 - [c2]Derek Sweet, Emanuele Zangrando, Francesca Meneghello
:
HIJACK: Learning-based Strategies for Sound Classification Robustness to Adversarial Noise. SMARTCOMP 2023: 338-343 - [i3]Emanuele Zangrando, Steffen Schotthöfer, Gianluca Ceruti, Jonas Kusch, Francesco Tudisco:
Rank-adaptive spectral pruning of convolutional layers during training. CoRR abs/2305.19059 (2023) - [i2]Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco:
Robust low-rank training via approximate orthonormal constraints. CoRR abs/2306.01485 (2023) - 2022
- [c1]Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco:
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations. NeurIPS 2022 - [i1]Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco:
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations. CoRR abs/2205.13571 (2022)
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