Alessandro Achille

108 papers A* 33Misc 1Journal 68Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI Agents as Universal Task Solvers. Entropy Alessandro Achille, Stefano Soatto
2025	J	`jnl`	AI Agents as Universal Task Solvers. CoRR Alessandro Achille, 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	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	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
2025	J	`jnl`	Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning. CoRR Renos Zabounidis, Aditya Golatkar, Michael Kleinman, Alessandro Achille, Wei Xia, Stefano Soatto
2025	J	`jnl`	e1: Learning Adaptive Control of Reasoning Effort. CoRR Michael Kleinman, Matthew Trager, Alessandro Achille, Wei Xia, 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	A*	`conf`	Critical Learning Periods Emerge Even in Deep Linear Networks. ICLR Michael Kleinman, Alessandro Achille, Stefano Soatto
2024	—	`conf`	Diffusion Soup: Model Merging for Text-to-Image Diffusion Models. ECCV (63) Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto
2024	J	`jnl`	Diffusion Soup: Model Merging for Text-to-Image Diffusion Models. CoRR Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto
2024	A*	`conf`	Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding. CVPR Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, Stefano Soatto
2024	J	`jnl`	Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding. CoRR Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, 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	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	J	`jnl`	NeRF-Insert: 3D Local Editing with Multimodal Control Signals. CoRR Benet Oriol Sabat, Alessandro Achille, Matthew Trager, Stefano Soatto
2024	J	`jnl`	Principles of Designing Robust Remote Face Anti-Spoofing Systems. CoRR Xiang Xu, Tianchen Zhao, Zheng Zhang, Zhihua Li, Jon Wu, Alessandro Achille, Mani Srivastava
2024	—	`conf`	Snakes and Ladders: Accelerating SSM Inference with Speculative Decoding. ENLSP Yangchao Wu, Yonatan Dukler, Matthew Trager, Alessandro Achille, Wei Xia, Stefano Soatto
2024	J	`jnl`	Spacetime-Efficient Low-Depth Quantum State Preparation with Applications. Quantum Kaiwen Gui, Alexander M. Dalzell, Alessandro Achille, Martin Suchara, Frederic T. Chong
2023	A*	`conf`	A Meta-Learning Approach to Predicting Performance and Data Requirements. CVPR Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto
2023	J	`jnl`	A Meta-Learning Approach to Predicting Performance and Data Requirements. CoRR Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto
2023	J	`jnl`	AI Model Disgorgement: Methods and Choices. CoRR Alessandro Achille, Michael Kearns, Carson Klingenberg, Stefano Soatto
2023	J	`jnl`	Critical Learning Periods Emerge Even in Deep Linear Networks. CoRR Michael Kleinman, Alessandro Achille, Stefano Soatto
2023	A*	`conf`	Critical Learning Periods for Multisensory Integration in Deep Networks. CVPR Michael Kleinman, Alessandro Achille, Stefano Soatto
2023	A*	`conf`	Gacs-Korner Common Information Variational Autoencoder. NeurIPS Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao
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	A*	`conf`	SAFE: Machine Unlearning With Shard Graphs. ICCV Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto
2023	J	`jnl`	SAFE: Machine Unlearning With Shard Graphs. CoRR Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto
2023	J	`jnl`	Spacetime-Efficient Low-Depth Quantum State Preparation with Applications. CoRR Kaiwen Gui, Alexander M. Dalzell, Alessandro Achille, Martin Suchara, Frederic T. Chong
2023	J	`jnl`	Towards Visual Foundational Models of Physical Scenes. CoRR Chethan Parameshwara, Alessandro Achille, Matthew Trager, Xiaolong Li, Jiawei Mo, Ashwin Swaminathan, CJ Taylor, Dheera Venkatraman, Xiaohan Fei, Stefano Soatto
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	J	`jnl`	Training Data Protection with Compositional Diffusion Models. CoRR Aditya Golatkar, Alessandro Achille, Ashwin Swaminathan, 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	J	`jnl`	Critical Learning Periods for Multisensory Integration in Deep Networks. CoRR Michael Kleinman, Alessandro Achille, Stefano Soatto
2022	A*	`conf`	DIVA: Dataset Derivative of a Learning Task. ICLR Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto
2022	J	`jnl`	Gacs-Korner Common Information Variational Autoencoder. CoRR Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao
2022	J	`jnl`	Integral Continual Learning Along the Tangent Vector Field of Tasks. CoRR Tian Yu Liu, Aditya Golatkar, Stefano Soatto, Alessandro Achille
2022	A*	`conf`	Mixed Differential Privacy in Computer Vision. CVPR Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto
2022	J	`jnl`	Mixed Differential Privacy in Computer Vision. CoRR Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto
2022	J	`jnl`	On Binding Objects to Symbols: Learning Physical Concepts to Understand Real from Fake. CoRR Alessandro Achille, Stefano Soatto
2022	A*	`conf`	On Leave-One-Out Conditional Mutual Information For Generalization. NeurIPS Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas N. Diggavi, Stefano Soatto
2022	J	`jnl`	On Leave-One-Out Conditional Mutual Information For Generalization. CoRR Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas N. Diggavi, Stefano Soatto
2022	J	`jnl`	Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection. CoRR Luca Zancato, Alessandro Achille, Giovanni Paolini, Alessandro Chiuso, Stefano Soatto
2022	A*	`conf`	Task Adaptive Parameter Sharing for Multi-Task Learning. CVPR Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto
2022	J	`jnl`	Task Adaptive Parameter Sharing for Multi-Task Learning. CoRR Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto
2022	J	`jnl`	Towards Differential Relational Privacy and its use in Question Answering. CoRR Simone Bombari, Alessandro Achille, Zijian Wang, Yu-Xiang Wang, Yusheng Xie, Kunwar Yashraj Singh, Srikar Appalaraju, Vijay Mahadevan, 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	A*	`conf`	Adversarial Training Reduces Information and Improves Transferability. AAAI Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto
2021	J	`jnl`	DIVA: Dataset Derivative of a Learning Task. CoRR Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto
2021	A*	`conf`	Estimating informativeness of samples with Smooth Unique Information. ICLR Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2021	J	`jnl`	Estimating informativeness of samples with Smooth Unique Information. CoRR Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2021	A*	`conf`	LQF: Linear Quadratic Fine-Tuning. CVPR Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto
2021	A*	`conf`	LayoutTransformer: Layout Generation and Completion with Self-attention. ICCV Kamal Gupta, Justin Lazarow, Alessandro Achille, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava
2021	A*	`conf`	Mixed-Privacy Forgetting in Deep Networks. CVPR Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto
2021	A*	`conf`	On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning. NeurIPS Julian G. Zilly, Alessandro Achille, Andrea Censi, Emilio Frazzoli
2021	J	`jnl`	Redundant Information Neural Estimation. Entropy Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao
2021	A*	`conf`	Structured Prediction as Translation between Augmented Natural Languages. ICLR Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto
2021	J	`jnl`	Structured Prediction as Translation between Augmented Natural Languages. CoRR Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto
2021	A*	`conf`	Usable Information and Evolution of Optimal Representations During Training. ICLR Michael Kleinman, Alessandro Achille, Daksh Idnani, Jonathan C. Kao
2020	J	`jnl`	Adversarial Training Reduces Information and Improves Transferability. CoRR Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto
2020	A*	`conf`	Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. CVPR Aditya Golatkar, Alessandro Achille, Stefano Soatto
2020	—	`conf`	Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. ECCV (29) Aditya Golatkar, Alessandro Achille, Stefano Soatto
2020	J	`jnl`	Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. CoRR Aditya Golatkar, Alessandro Achille, Stefano Soatto
2020	—	`conf`	Incremental Few-Shot Meta-learning via Indirect Discriminant Alignment. ECCV (7) Qing Liu, Orchid Majumder, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020	J	`jnl`	LQF: Linear Quadratic Fine-Tuning. CoRR Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto
2020	J	`jnl`	Layout Generation and Completion with Self-attention. CoRR Kamal Gupta, Alessandro Achille, Justin Lazarow, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava
2020	J	`jnl`	Mixed-Privacy Forgetting in Deep Networks. CoRR Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto
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
2020	J	`jnl`	Usable Information and Evolution of Optimal Representations During Training. CoRR Michael Kleinman, Daksh Idnani, Alessandro Achille, Jonathan C. Kao
2019	—	`conf`	Critical Learning Periods in Deep Networks. ICLR (Poster) Alessandro Achille, Matteo Rovere, Stefano Soatto
2019	—	`—`	Emergent Properties of Deep Neural Networks. Alessandro Achille
2019	J	`jnl`	Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. CoRR Aditya Golatkar, Alessandro Achille, Stefano Soatto
2019	A*	`conf`	Task2Vec: Task Embedding for Meta-Learning. ICCV Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona
2019	J	`jnl`	Task2Vec: Task Embedding for Meta-Learning. CoRR Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona
2019	J	`jnl`	TextTubes for Detecting Curved Text in the Wild. CoRR Joël Seytre, Jon Wu, Alessandro Achille
2019	J	`jnl`	The Information Complexity of Learning Tasks, their Structure and their Distance. CoRR Alessandro Achille, Giovanni Paolini, Glen Mbeng, Stefano Soatto
2019	A*	`conf`	Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence. NeurIPS Aditya Golatkar, Alessandro Achille, Stefano Soatto
2019	J	`jnl`	Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence. CoRR Aditya Golatkar, Alessandro Achille, Stefano Soatto
2019	J	`jnl`	Toward Understanding Catastrophic Forgetting in Continual Learning. CoRR Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay Mahadevan, Stefano Soatto
2019	J	`jnl`	Where is the Information in a Deep Neural Network? CoRR Alessandro Achille, Stefano Soatto
2018	J	`jnl`	A Separation Principle for Control in the Age of Deep Learning. Annu. Rev. Control. Robotics Auton. Syst. Alessandro Achille, Stefano Soatto
2018	Misc	`conf`	Emergence of Invariance and Disentanglement in Deep Representations. ITA Alessandro Achille, Stefano Soatto
2018	J	`jnl`	Emergence of Invariance and Disentanglement in Deep Representations. J. Mach. Learn. Res. Alessandro Achille, Stefano Soatto
2018	J	`jnl`	Information Dropout: Learning Optimal Representations Through Noisy Computation. IEEE Trans. Pattern Anal. Mach. Intell. Alessandro Achille, Stefano Soatto
2018	A*	`conf`	Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies. NeurIPS Alessandro Achille, Tom Eccles, Loïc Matthey, Christopher P. Burgess, Nicholas Watters, Alexander Lerchner, Irina Higgins
2018	J	`jnl`	Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies. CoRR Alessandro Achille, Tom Eccles, Loïc Matthey, Christopher P. Burgess, Nick Watters, Alexander Lerchner, Irina Higgins
2018	J	`jnl`	The Dynamics of Differential Learning I: Information-Dynamics and Task Reachability. CoRR Alessandro Achille, Glen Mbeng, Stefano Soatto
2017	J	`jnl`	A Separation Principle for Control in the Age of Deep Learning. CoRR Alessandro Achille, Stefano Soatto
2017	J	`jnl`	Critical Learning Periods in Deep Neural Networks. CoRR Alessandro Achille, Matteo Rovere, Stefano Soatto
2017	J	`jnl`	On the Emergence of Invariance and Disentangling in Deep Representations. CoRR Alessandro Achille, Stefano Soatto
2016	J	`jnl`	Information Dropout: learning optimal representations through noise. CoRR Alessandro Achille, Stefano Soatto