Alessandro Achille
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
6
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | PICASO: Permutation-Invariant Context Composition with State Space Models. | Tian Yu Liu, Alessandro Achille, Matthew Trager, Aditya Golatkar, Luca Zancato, Stefano Soatto |
| 2024 | CVPR | Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding. | Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, Stefano Soatto |
| 2024 | CVPR | Multi-Modal Hallucination Control by Visual Information Grounding. | Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary, Pramuditha Perera, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto |
| 2024 | CVPR | CPR: Retrieval Augmented Generation for Copyright Protection. | Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, Stefano Soatto |
| 2024 | ECCV | Diffusion Soup: Model Merging for Text-to-Image Diffusion Models. | Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto |
| 2024 | ICLR | Critical Learning Periods Emerge Even in Deep Linear Networks. | Michael Kleinman, Alessandro Achille, Stefano Soatto |
| 2024 | ICLR | Meaning Representations from Trajectories in Autoregressive Models. | Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto |
| 2023 | CVPR | -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 |
| 2023 | CVPR | A Meta-Learning Approach to Predicting Performance and Data Requirements. | Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto |
| 2023 | CVPR | Critical Learning Periods for Multisensory Integration in Deep Networks. | Michael Kleinman, Alessandro Achille, Stefano Soatto |
| 2023 | CVPR | Train/Test-Time Adaptation with Retrieval. | Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto |
| 2023 | ICCV | SAFE: Machine Unlearning With Shard Graphs. | Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto |
| 2023 | ICCV | Linear Spaces of Meanings: Compositional Structures in Vision-Language Models. | Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Stefano Soatto |
| 2022 | CVPR | Mixed Differential Privacy in Computer Vision. | Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto |
| 2022 | CVPR | Task Adaptive Parameter Sharing for Multi-Task Learning. | Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto |
| 2022 | ICLR | DIVA: Dataset Derivative of a Learning Task. | Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto |
| 2021 | AAAI | Adversarial Training Reduces Information and Improves Transferability. | Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto |
| 2021 | CVPR | LQF: Linear Quadratic Fine-Tuning. | Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto |
| 2021 | CVPR | Mixed-Privacy Forgetting in Deep Networks. | Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto |
| 2021 | ICCV | LayoutTransformer: Layout Generation and Completion with Self-attention. | Kamal Gupta, Justin Lazarow, Alessandro Achille, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava |
| 2021 | ICLR | Estimating informativeness of samples with Smooth Unique Information. | Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto |
| 2021 | ICLR | Usable Information and Evolution of Optimal Representations During Training. | Michael Kleinman, Alessandro Achille, Daksh Idnani, Jonathan C. Kao |
| 2021 | ICLR | Structured Prediction as Translation between Augmented Natural Languages. | Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Ccero Nogueira dos Santos, Bing Xiang, Stefano Soatto |
| 2020 | CVPR | Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. | Aditya Golatkar, Alessandro Achille, Stefano Soatto |
| 2020 | ECCV | Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. | Aditya Golatkar, Alessandro Achille, Stefano Soatto |
| 2020 | ECCV | Incremental Few-Shot Meta-learning via Indirect Discriminant Alignment. | Qing Liu, Orchid Majumder, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto |
| 2019 | ICCV | Task2Vec: Task Embedding for Meta-Learning. | Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona |
| 2019 | ICLR | Critical Learning Periods in Deep Networks. | Alessandro Achille, Matteo Rovere, Stefano Soatto |
| 2018 | ITA | Emergence of Invariance and Disentanglement in Deep Representations. | Alessandro Achille, Stefano Soatto |