| 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 | 41 | 2021 |
| Predicting training time without training L Zancato, A Achille, A Ravichandran, R Bhotika, S Soatto Conference on Neural Information Processing Systems, 2020 | 19 | 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 | 13 | 2021 |
| Linear spaces of meanings: compositional structures in vision-language models M Trager, P Perera, L Zancato, A Achille, P Bhatia, S Soatto Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 11* | 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 | 8 | 2023 |
| Leveraging sparse and shared feature activations for disentangled representation learning M Fumero, F Wenzel, L Zancato, A Achille, E Rodolà, S Soatto, ... Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| Introspective cross-attention probing for lightweight transfer of pre-trained models Y Dukler, A Achille, H Yang, V Vivek, L Zancato, B Bowman, ... arXiv e-prints, arXiv: 2303.04105, 2023 | 4 | 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 | 4 | 2023 |
| Meaning representations from trajectories in autoregressive models TY Liu, M Trager, A Achille, P Perera, L Zancato, S Soatto arXiv preprint arXiv:2310.18348, 2023 | 3 | 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 | 3* | 2022 |
| Prompt algebra for task composition P Perera, M Trager, L Zancato, A Achille, S Soatto arXiv preprint arXiv:2306.00310, 2023 | 2 | 2023 |
| Multi-modal hallucination control by visual information grounding A Favero, L Zancato, M Trager, S Choudhary, P Perera, A Achille, ... arXiv preprint arXiv:2403.14003, 2024 | 1 | 2024 |
| CPR: Retrieval augmented generation for copyright protection A Golatkar, A Achille, L Zancato, YX Wang, A Swaminathan, S Soatto | | 2024 |
| SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes A Lemkhenter, M Wang, L Zancato, G Swaminathan, P Favaro, D Modolo arXiv preprint arXiv:2311.01646, 2023 | | 2023 |
| Sampling matters: SGD smoothing through importance sampling L Zancato, A Chiuso 2022 IEEE 61st Conference on Decision and Control (CDC), 3359-3364, 2022 | | 2022 |
| Sull'addestrabilità e generalizzazione delle Reti Neurali Profonde L Zancato Università degli studi di Padova, 2022 | | 2022 |
| On Trainability and Generalization of Deep Neural Networks L Zancato, A Chiuso, A Neviani | | |
Alessandro AchilleSenior Applied Scientist, Amazon Web Services and CaltechVerified email at caltech.edu
