Predicting Training Time Without Training. - Luca Zancato; Alessandro Achille; Avinash Ravichandran; Rahul Bhotika; Stefano Soatto (NeurIPS, 2020)

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)

A novel Deep Neural Network architecture for non-linear system identification. - Luca Zancato; Alessandro Chiuso (CoRR, 2021)

Sampling matters: SGD smoothing through importance sampling. - Luca Zancato; Alessandro Chiuso (CDC, 2022)

Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection. - Luca Zancato; Alessandro Achille; Giovanni Paolini; Alessandro Chiuso; Stefano Soatto (CoRR, 2022)

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 (CVPR, 2023)

Train/Test-Time Adaptation with Retrieval. - Luca Zancato; Alessandro Achille; Tian Yu Liu; Matthew Trager; Pramuditha Perera; Stefano Soatto (CVPR, 2023)

Linear Spaces of Meanings: Compositional Structures in Vision-Language Models. - Matthew Trager; Pramuditha Perera; Luca Zancato; Alessandro Achille; Parminder Bhatia; Stefano Soatto (ICCV, 2023)

Your representations are in the network: composable and parallel adaptation for large scale models. - Yonatan Dukler; Alessandro Achille; Hao Yang 043; Varsha Vivek; Luca Zancato; Benjamin Bowman; Avinash Ravichandran; Charless C. Fowlkes; Ashwin Swaminathan; Stefano Soatto (NeurIPS, 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 (NeurIPS, 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)

Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models. - Yonatan Dukler; Alessandro Achille; Hao Yang 043; Varsha Vivek; Luca Zancato; Benjamin Bowman; Avinash Ravichandran; Charless C. Fowlkes; Ashwin Swaminathan; Stefano Soatto (CoRR, 2023)

Prompt Algebra for Task Composition. - Pramuditha Perera; Matthew Trager; Luca Zancato; Alessandro Achille; Stefano Soatto (CoRR, 2023)

Multi-Modal Hallucination Control by Visual Information Grounding. - Alessandro Favero; Luca Zancato; Matthew Trager; Siddharth Choudhary; Pramuditha Perera; Alessandro Achille; Ashwin Swaminathan; Stefano Soatto (CVPR, 2024)

CPR: Retrieval Augmented Generation for Copyright Protection. - Aditya Golatkar; Alessandro Achille; Luca Zancato; Yu-Xiang Wang 003; Ashwin Swaminathan; Stefano Soatto (CVPR, 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 (CVPR Workshops, 2024)

Meaning Representations from Trajectories in Autoregressive Models. - Tian Yu Liu; Matthew Trager; Alessandro Achille; Pramuditha Perera; Luca Zancato; Stefano Soatto (ICLR, 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 002; Benjamin Bowman; Matthew Trager; Alessandro Achille; Stefano Soatto (NeurIPS, 2024)

Compositional Structures in Neural Embedding and Interaction Decompositions. - Matthew Trager; Alessandro Achille; Pramuditha Perera; Luca Zancato; Stefano Soatto (CoRR, 2024)

Long-context Protein Language Model. - Yingheng Wang; Zichen Wang 002; Gil Sadeh; Luca Zancato; Alessandro Achille; George Karypis; Huzefa Rangwala (CoRR, 2024)

Marconi: Prefix Caching for the Era of Hybrid LLMs. - Rui Pan 003; Zhuang Wang; Zhen Jia; Can Karakus; Luca Zancato; Tri Dao; Ravi Netravali; Yida Wang (CoRR, 2024)

PICASO: Permutation-Invariant Context Composition with State Space Models. - Tian Yu Liu; Alessandro Achille; Matthew Trager; Aditya Golatkar; Luca Zancato; Stefano Soatto (ICLR, 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 (NeuS, 2025)

LC-PLM: Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers. - Yingheng Wang; Zichen Wang 002; Gil Sadeh; Luca Zancato; Alessandro Achille; George Karypis; Huzefa Rangwala (Trans. Mach. Learn. Res., 2025)

Descriminative-Generative Custom Tokens for Vision-Language Models. - Pramuditha Perera; Matthew Trager; Luca Zancato; Alessandro Achille; Stefano Soatto (CoRR, 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, 2025)