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Alessandro Achille

  1. Emergence of Invariance and Disentanglement in Deep Representations
    2017/06/05 by Alessandro Achille, Stefano Soatto, Achille, Alessandro +1 · 2 voices · 17 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.AI #cs.LG #stat.ML
  2. Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep\n Networks
    2019/11/12 by Aditya Golatkar, Alessandro Achille, Golatkar, Aditya +3 · 82 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  3. Critical Learning Periods in Deep Neural Networks
    2017/11/24 by Alessandro Achille, Achille, Alessandro, Matteo Rovere +3 · 15 citations
    Computer Science · Neuroscience · #Neural Networks and Applications #Machine Learning and ELM #Neural dynamics and brain function
  4. Forgetting Outside the Box: Scrubbing Deep Networks of Information\n Accessible from Input-Output Observations
    2020/03/05 by Aditya Golatkar, Golatkar, Aditya, Alessandro Achille +3 · 12 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Task Adaptive Parameter Sharing for Multi-Task Learning
    2022/03/30 by Matthew Wallingford, Wallingford, Matthew, Hao Li +11 · 6 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  6. Where is the Information in a Deep Neural Network?
    2019/05/29 by Alessandro Achille, Achille, Alessandro, Paolini, Giovanni +1 · 6 citations
    Computer Science · #Stochastic Gradient Optimization Techniques #Adversarial Robustness in Machine Learning #Generative Adversarial Networks and Image Synthesis
  7. The Information Complexity of Learning Tasks, their Structure and their\n Distance
    2019/04/05 by Alessandro Achille, Achille, Alessandro, Giovanni Paolini +5 · 3 citations
    Computer Science · #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural Networks and Applications
  8. Leveraging sparse and shared feature activations for disentangled representation learning
    2023/04/17 by Marco Fumero, Fumero, Marco, Florian Wenzel +13 · 5 citations
    Computer Science · #Digital Media Forensic Detection #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  9. B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory
    2024/07/08 by Luca Zancato, Arjun Seshadri, Zancato, Luca +15 · 7 citations
    Engineering · #Modular Robots and Swarm Intelligence
  10. Diffusion Soup: Model Merging for Text-to-Image Diffusion Models
    2024/06/12 by Benjamin Biggs, Biggs, Benjamin, Arjun Seshadri +15 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mathematics, Computing, and Information Processing
  11. Meaning Representations from Trajectories in Autoregressive Models
    2023/10/23 by Tian Yu Liu, Matthew Trager, Liu, Tian Yu +9 · 3 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Text Readability and Simplification
  12. AI Agents as Universal Task Solvers
    2025/10/14 by Alessandro Achille, Stefano Soatto, Achille, Alessandro +1 · 1 voice · 2 citations
    Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Reinforcement Learning in Robotics
  13. Critical Learning Periods Emerge Even in Deep Linear Networks
    2023/08/23 by Michael Kleinman, Kleinman, Michael, Alessandro Achille +3 · 2 citations
    Neuroscience · Computer Science · Engineering · #Neural dynamics and brain function #Neural Networks and Applications #Advanced Memory and Neural Computing
  14. Predicting Training Time Without Training
    2020/08/28 by Luca Zancato, Zancato, Luca, Alessandro Achille +7 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
  15. DIVA: Dataset Derivative of a Learning Task
    2021/11/18 by Yonatan Dukler, Alessandro Achille, Dukler, Yonatan +9 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  16. On Leave-One-Out Conditional Mutual Information For Generalization
    2022/07/01 by Mohamad Rida Rammal, Alessandro Achille, Rammal, Mohamad Rida +7 · 1 citation
    Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification #Neural Networks and Applications
  17. AI Model Disgorgement: Methods and Choices
    2023/04/07 by Alessandro Achille, Michael Kearns, Achille, Alessandro +5 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  18. NeRF-Insert: 3D Local Editing with Multimodal Control Signals
    2024/04/30 by Benet Oriol Sàbat, Sabat, Benet Oriol, Alessandro Achille +5 · 1 citation
    Engineering · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Modular Robots and Swarm Intelligence
  19. Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers
    2024/10/29 by Yingheng Wang, Zichen Wang, Wang, Yingheng +11 · 1 citation
    Biochemistry, Genetics and Molecular Biology · #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Genetics, Bioinformatics, and Biomedical Research #Machine Learning (cs.LG) #Machine Learning in Bioinformatics
  20. Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning
    2025/11/03 by Renos Zabounidis, Aditya Golatkar, Zabounidis, Renos +9 · 1 citation
    Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI) #Multimodal Machine Learning Applications