Luca Zancato
Luca Zancato
Applied Scientist, Amazon Web Services
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A linearized framework and a new benchmark for model selection for fine-tuning
A Deshpande, A Achille, A Ravichandran, H Li, L Zancato, C Fowlkes, ...
arXiv preprint arXiv:2102.00084, 2021
Predicting training time without training
L Zancato, A Achille, A Ravichandran, R Bhotika, S Soatto
Conference on Neural Information Processing Systems, 2020
A novel Deep Neural Network architecture for non-linear system identification
L Zancato, A Chiuso
19th IFAC Symposium on System Identification SYSID 2021 54 (7), 186-191, 2021
Introspective cross-attention probing for lightweight transfer of pre-trained models
Y Dukler, A Achille, H Yang, V Vivek, L Zancato, B Bowman, ...
arXiv preprint arXiv:2303.04105, 2023
a-la-carte prompt tuning (apt): Combining distinct data via composable prompting
B Bowman, A Achille, L Zancato, M Trager, P Perera, G Paolini, S Soatto
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection
L Zancato, A Achille, G Paolini, A Chiuso, S Soatto
arXiv preprint arXiv:2202.12457, 2022
Leveraging sparse and shared feature activations for disentangled representation learning
M Fumero, F Wenzel, L Zancato, A Achille, E Rodolą, S Soatto, ...
arXiv preprint arXiv:2304.07939, 2023
Linear Spaces of Meanings: the Compositional Language of VLMs
M Trager, P Perera, L Zancato, A Achille, P Bhatia, B Xiang, S Soatto
arXiv preprint arXiv:2302.14383, 2023
Train/test-time adaptation with retrieval
L Zancato, A Achille, TY Liu, M Trager, P Perera, S Soatto
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Sampling matters: SGD smoothing through importance sampling
L Zancato, A Chiuso
2022 IEEE 61st Conference on Decision and Control (CDC), 3359-3364, 2022
On Trainability and Generalization of Deep Neural Networks
L Zancato, A Chiuso, A Neviani
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