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2020 – today
- 2024
[c11]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. CVPR Workshops 2024: 2576-2585- [c10]Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, Stefano Soatto:
CPR: Retrieval Augmented Generation for Copyright Protection. CVPR 2024: 12374-12384 - [c9]Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary, Pramuditha Perera, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto:
Multi-Modal Hallucination Control by Visual Information Grounding. CVPR 2024: 14303-14312 - [c8]Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto:
Meaning Representations from Trajectories in Autoregressive Models. ICLR 2024 - [i19]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 abs/2403.14003 (2024) - [i18]Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, Stefano Soatto:
CPR: Retrieval Augmented Generation for Copyright Protection. CoRR abs/2403.18920 (2024) - [i17]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 abs/2407.06324 (2024) - [i16]Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto:
Compositional Structures in Neural Embedding and Interaction Decompositions. CoRR abs/2407.08934 (2024) - [i15]Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala:
Long-context Protein Language Model. CoRR abs/2411.08909 (2024) - [i14]Rui Pan, Zhuang Wang, Zhen Jia, Can Karakus, Luca Zancato, Tri Dao, Ravi Netravali, Yida Wang:
Marconi: Prefix Caching for the Era of Hybrid LLMs. CoRR abs/2411.19379 (2024) - [i13]Elvis Nunez, Luca Zancato, Benjamin Bowman, Aditya Golatkar, Wei Xia, Stefano Soatto:
Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models. CoRR abs/2412.13328 (2024) - 2023
- [c7]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: 14984-14993 - [c6]Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto:
Train/Test-Time Adaptation with Retrieval. CVPR 2023: 15911-15921 - [c5]Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Stefano Soatto:
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models. ICCV 2023: 15349-15358 - [c4]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 - [c3]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 - [i12]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 abs/2302.07994 (2023) - [i11]Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Bing Xiang, Stefano Soatto:
Linear Spaces of Meanings: the Compositional Language of VLMs. CoRR abs/2302.14383 (2023) - [i10]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 abs/2303.04105 (2023) - [i9]Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto:
Train/Test-Time Adaptation with Retrieval. CoRR abs/2303.14333 (2023) - [i8]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 abs/2304.07939 (2023) - [i7]Pramuditha Perera, Matthew Trager, Luca Zancato, Alessandro Achille, Stefano Soatto:
Prompt Algebra for Task Composition. CoRR abs/2306.00310 (2023) - [i6]Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto:
Meaning Representations from Trajectories in Autoregressive Models. CoRR abs/2310.18348 (2023) - [i5]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 abs/2311.01646 (2023) - 2022
- [c2]Luca Zancato, Alessandro Chiuso:
Sampling matters: SGD smoothing through importance sampling. CDC 2022: 3359-3364 - [i4]Luca Zancato, Alessandro Achille, Giovanni Paolini, Alessandro Chiuso, Stefano Soatto:
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection. CoRR abs/2202.12457 (2022) - 2021
- [i3]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 abs/2102.00084 (2021) - [i2]Luca Zancato, Alessandro Chiuso:
A novel Deep Neural Network architecture for non-linear system identification. CoRR abs/2106.03078 (2021) - 2020
- [c1]Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Predicting Training Time Without Training. NeurIPS 2020 - [i1]Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Predicting Training Time Without Training. CoRR abs/2008.12478 (2020)
Coauthor Index
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