Luca Zancato

40 papers A* 11Journal 25Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning When to Attend: Conditional Memory Access for Long-Context LLMs.
CoRR
Sakshi Choudhary, Aditya Chattopadhyay, Luca Zancato, Elvis Nunez, Matthew Trager, Wei Xia, Stefano Soatto
2025 J jnl
Descriminative-Generative Custom Tokens for Vision-Language Models.
CoRR
Pramuditha Perera, Matthew Trager, Luca Zancato, Alessandro Achille, Stefano Soatto
2025 — conf
Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models.
NeuS
Elvis Nunez, Luca Zancato, Benjamin Bowman, Aditya Golatkar, Wei Xia, Stefano Soatto
2025 J jnl
Gated KalmaNet: A Fading Memory Layer Through Test-Time Ridge Regression.
CoRR
Liangzu Peng, Aditya Chattopadhyay, Luca Zancato, Elvis Nunez, Wei Xia, Stefano Soatto
2025 J jnl
LC-PLM: Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers.
Trans. Mach. Learn. Res.
Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala
2025 — conf
Marconi: Prefix Caching for the Era of Hybrid LLMs.
MLSys
Rui Pan, Zhuang Wang, Zhen Jia, Can Karakus, Luca Zancato, Tri Dao, Yida Wang, Ravi Netravali
2025 J jnl
Maximally-Informative Retrieval for State Space Model Generation.
CoRR
Evan Becker, Benjamin Bowman, Matthew Trager, Tian Yu Liu, Luca Zancato, Wei Xia, Stefano Soatto
2025 A* conf
PICASO: Permutation-Invariant Context Composition with State Space Models.
ICLR
Tian Yu Liu, Alessandro Achille, Matthew Trager, Aditya Golatkar, Luca Zancato, Stefano Soatto
2025 J jnl
PICASO: Permutation-Invariant Context Composition with State Space Models.
CoRR
Tian Yu Liu, Alessandro Achille, Matthew Trager, Aditya Golatkar, Luca Zancato, Stefano Soatto
2024 A* conf
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory.
NeurIPS
Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto
2024 J jnl
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory.
CoRR
Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto
2024 A* conf
CPR: Retrieval Augmented Generation for Copyright Protection.
CVPR
Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, Stefano Soatto
2024 J jnl
CPR: Retrieval Augmented Generation for Copyright Protection.
CoRR
Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, Stefano Soatto
2024 J jnl
Compositional Structures in Neural Embedding and Interaction Decompositions.
CoRR
Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto
2024 J jnl
Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models.
CoRR
Elvis Nunez, Luca Zancato, Benjamin Bowman, Aditya Golatkar, Wei Xia, Stefano Soatto
2024 J jnl
Long-context Protein Language Model.
CoRR
Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala
2024 J jnl
Marconi: Prefix Caching for the Era of Hybrid LLMs.
CoRR
Rui Pan, Zhuang Wang, Zhen Jia, Can Karakus, Luca Zancato, Tri Dao, Ravi Netravali, Yida Wang
2024 A* conf
Meaning Representations from Trajectories in Autoregressive Models.
ICLR
Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto
2024 A* conf
Multi-Modal Hallucination Control by Visual Information Grounding.
CVPR
Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary, Pramuditha Perera, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto
2024 J jnl
Multi-Modal Hallucination Control by Visual Information Grounding.
CoRR
Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary, Pramuditha Perera, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto
2024 — conf
SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes.
CVPR Workshops
Abdelhak Lemkhenter, Manchen Wang, Luca Zancato, Gurumurthy Swaminathan, Paolo Favaro, Davide Modolo
2023 J jnl
Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models.
CoRR
Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto
2023 A* conf
Leveraging sparse and shared feature activations for disentangled representation learning.
NeurIPS
Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello
2023 J jnl
Leveraging sparse and shared feature activations for disentangled representation learning.
CoRR
Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello
2023 A* conf
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models.
ICCV
Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Stefano Soatto
2023 J jnl
Linear Spaces of Meanings: the Compositional Language of VLMs.
CoRR
Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Bing Xiang, Stefano Soatto
2023 J jnl
Meaning Representations from Trajectories in Autoregressive Models.
CoRR
Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto
2023 J jnl
Prompt Algebra for Task Composition.
CoRR
Pramuditha Perera, Matthew Trager, Luca Zancato, Alessandro Achille, Stefano Soatto
2023 J jnl
SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes.
CoRR
Abdelhak Lemkhenter, Manchen Wang, Luca Zancato, Gurumurthy Swaminathan, Paolo Favaro, Davide Modolo
2023 A* conf
Train/Test-Time Adaptation with Retrieval.
CVPR
Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto
2023 J jnl
Train/Test-Time Adaptation with Retrieval.
CoRR
Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto
2023 A* conf
Your representations are in the network: composable and parallel adaptation for large scale models.
NeurIPS
Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto
2023 A* conf
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting.
CVPR
Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto
2023 J jnl
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting.
CoRR
Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto
2022 — conf
Sampling matters: SGD smoothing through importance sampling.
CDC
Luca Zancato, Alessandro Chiuso
2022 J jnl
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection.
CoRR
Luca Zancato, Alessandro Achille, Giovanni Paolini, Alessandro Chiuso, Stefano Soatto
2021 J jnl
A linearized framework and a new benchmark for model selection for fine-tuning.
CoRR
Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona
2021 J jnl
A novel Deep Neural Network architecture for non-linear system identification.
CoRR
Luca Zancato, Alessandro Chiuso
2020 A* conf
Predicting Training Time Without Training.
NeurIPS
Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020 J jnl
Predicting Training Time Without Training.
CoRR
Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto