Luca Zancato

According to our database¹, Luca Zancato authored at least 19 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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On csauthors.net:

Bibliography

2024

Compositional Structures in Neural Embedding and Interaction Decompositions.

[BibT_eX]

[DOI]

CoRR, 2024

B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory.

[BibT_eX]

[DOI]

CoRR, 2024

Meaning Representations from Trajectories in Autoregressive Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes.

[BibT_eX]

[DOI]

Abdelhak Lemkhenter

Manchen Wang

Luca Zancato

Gurumurthy Swaminathan

Paolo Favaro

Davide Modolo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CPR: Retrieval Augmented Generation for Copyright Protection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multi-Modal Hallucination Control by Visual Information Grounding.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Prompt Algebra for Task Composition.

[BibT_eX]

[DOI]

CoRR, 2023

Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models.

[BibT_eX]

[DOI]

CoRR, 2023

Linear Spaces of Meanings: the Compositional Language of VLMs.

[BibT_eX]

[DOI]

CoRR, 2023

Leveraging sparse and shared feature activations for disentangled representation learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Your representations are in the network: composable and parallel adaptation for large scale models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Linear Spaces of Meanings: Compositional Structures in Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Train/Test-Time Adaptation with Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Sampling matters: SGD smoothing through importance sampling.

[BibT_eX]

[DOI]

Luca Zancato

Alessandro Chiuso

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

A novel Deep Neural Network architecture for non-linear system identification.

[BibT_eX]

[DOI]

Luca Zancato

Alessandro Chiuso

CoRR, 2021

A linearized framework and a new benchmark for model selection for fine-tuning.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Predicting Training Time Without Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Luca Zancato

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Bibliography

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