Luca Zancato

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 24

Top Topics

Gaussian Process

Meaning Representations

Top Venues

Publications

Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary, Pramuditha Perera, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto
Multi-Modal Hallucination Control by Visual Information Grounding. CoRR (2024)
Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto
Compositional Structures in Neural Embedding and Interaction Decompositions. CoRR (2024)
Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory. CoRR (2024)
Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto
Meaning Representations from Trajectories in Autoregressive Models. ICLR (2024)
Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, Stefano Soatto
CPR: Retrieval Augmented Generation for Copyright Protection. CoRR (2024)
Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto
Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models. CoRR (2023)
Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello
Leveraging sparse and shared feature activations for disentangled representation learning. CoRR (2023)
Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello
Leveraging sparse and shared feature activations for disentangled representation learning. NeurIPS (2023)
Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. CoRR (2023)
Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto
Train/Test-Time Adaptation with Retrieval. CoRR (2023)
Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Bing Xiang, Stefano Soatto
Linear Spaces of Meanings: the Compositional Language of VLMs. CoRR (2023)
Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. CVPR (2023)
Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto
Meaning Representations from Trajectories in Autoregressive Models. CoRR (2023)
Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto
Your representations are in the network: composable and parallel adaptation for large scale models. NeurIPS (2023)
Abdelhak Lemkhenter, Manchen Wang, Luca Zancato, Gurumurthy Swaminathan, Paolo Favaro, Davide Modolo
SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes. CoRR (2023)
Pramuditha Perera, Matthew Trager, Luca Zancato, Alessandro Achille, Stefano Soatto
Prompt Algebra for Task Composition. CoRR (2023)
Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Stefano Soatto
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models. ICCV (2023)
Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto
Train/Test-Time Adaptation with Retrieval. CVPR (2023)
Luca Zancato, Alessandro Chiuso
Sampling matters: SGD smoothing through importance sampling. CDC (2022)
Luca Zancato, A. Achille, Giovanni Paolini, Alessandro Chiuso, Stefano Soatto
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection. CoRR (2022)
Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona
A linearized framework and a new benchmark for model selection for fine-tuning. CoRR (2021)
Luca Zancato, Alessandro Chiuso
A novel Deep Neural Network architecture for non-linear system identification. CoRR (2021)
Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
Predicting Training Time Without Training. CoRR (2020)
Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
Predicting Training Time Without Training. NeurIPS (2020)