Luca Zancato

According to our database, Luca Zancato authored at least 26 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Maximally-Informative Retrieval for State Space Model Generation.

Evan Becker, Benjamin Bowman, Matthew Trager, Tian Yu Liu, Luca Zancato, Wei Xia, Stefano Soatto

CoRR, June, 2025

Descriminative-Generative Custom Tokens for Vision-Language Models.

Pramuditha Perera, Matthew Trager, Luca Zancato, Alessandro Achille, Stefano Soatto

CoRR, February, 2025

LC-PLM: Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers.

Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala

Trans. Mach. Learn. Res., 2025

Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models.

Elvis Nunez, Luca Zancato, Benjamin Bowman, Aditya Golatkar, Wei Xia, Stefano Soatto

Proceedings of the International Conference on Neuro-symbolic Systems, 2025

PICASO: Permutation-Invariant Context Composition with State Space Models.

Tian Yu Liu, Alessandro Achille, Matthew Trager, Aditya Golatkar, Luca Zancato, Stefano Soatto

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Marconi: Prefix Caching for the Era of Hybrid LLMs.

Rui Pan, Zhuang Wang, Zhen Jia, Can Karakus, Luca Zancato, Tri Dao, Ravi Netravali, Yida Wang

CoRR, 2024

Long-context Protein Language Model.

Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala

CoRR, 2024

Compositional Structures in Neural Embedding and Interaction Decompositions.

Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto

CoRR, 2024

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

Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Meaning Representations from Trajectories in Autoregressive Models.

Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

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.

Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, Stefano Soatto

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

Multi-Modal Hallucination Control by Visual Information Grounding.

Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary, Pramuditha Perera, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto

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

2023

Prompt Algebra for Task Composition.

Pramuditha Perera, Matthew Trager, Luca Zancato, Alessandro Achille, Stefano Soatto

CoRR, 2023

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

Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto

CoRR, 2023

Linear Spaces of Meanings: the Compositional Language of VLMs.

Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Bing Xiang, Stefano Soatto

CoRR, 2023

Leveraging sparse and shared feature activations for disentangled representation learning.

Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello

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.

Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto

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.

Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Stefano Soatto

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

Train/Test-Time Adaptation with Retrieval.

Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto

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.

Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto

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

2022

Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection.

Luca Zancato, Alessandro Achille, Giovanni Paolini, Alessandro Chiuso, Stefano Soatto

CoRR, 2022

Sampling matters: SGD smoothing through importance sampling.

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.

Luca Zancato, Alessandro Chiuso

CoRR, 2021

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

Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona

CoRR, 2021

2020

Predicting Training Time Without Training.

Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

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