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Daniele Marinazzo

  1. Large language models surpass human experts in predicting neuroscience results
    2024/03/04 by Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun +41 · 5 voices · 46 citations
    Computer Science · Materials Science · #Topic Modeling #Explainable Artificial Intelligence (XAI) #Machine Learning in Materials Science
  2. Kernel Method for Nonlinear Granger Causality
    2008/04/11 by Daniele Marinazzo, M. Pellicoro, Mario Pellicoro +1 · 15 citations
    Physics and Astronomy · Computer Science · Economics, Econometrics and Finance · #Chaos control and synchronization #Neural Networks and Applications #Complex Systems and Time Series Analysis
  3. Disentangling high-order mechanisms and high-order behaviours in complex systems
    2022/03/21 by Fernando E. Rosas, Pedro A. M. Mediano, Andrea I. Luppi +5 · 1 voice · 7 citations
    #cs.IT #physics.data-an
  4. Information-Theoretic Progress Measures reveal Grokking is an Emergent Phase Transition
    2024/08/16 by Kenzo Clauw, Sebastiano Stramaglia, Clauw, Kenzo +3 · 1 voice · 3 citations
    Computer Science · Physics and Astronomy · #Scientific Research and Discoveries #cs.IT #cs.LG
  5. Quantifying dynamical high-order interdependencies from the\n O-information: an application to neural spiking dynamics
    2020/07/31 by Sebastiano Stramaglia, Tomas Scagliarini, Stramaglia, Sebastiano +5 · 1 citation
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Biological sciences #Neural Networks and Applications #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
  6. Investigating the replicability of the social and behavioural sciences
    2026/04/01 by Andrew H. Tyner, Anna Lou Abatayo, Mason Daley +312 · 1 voice · 8 citations
    Decision Sciences · Mathematics · Psychology · #Advanced Causal Inference Techniques #Mental Health Research Topics #Meta-analysis and systematic reviews
  7. Gradients of O-information highlight synergy and redundancy in physiological applications
    2024/01/09 by Tomas Scagliarini, Laura Sparacino, Luca Faes +2 · 1 voice · 2 citations
    Economics, Econometrics and Finance · Neuroscience · #Complex Systems and Time Series Analysis #Functional Brain Connectivity Studies #Neural dynamics and brain function
  8. Network Representation of Higher-Order Interactions Based on Information Dynamics
    2024/08/28 by Gorana Mijatović, Mijatovic, Gorana, Yuri Antonacci +9 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Methodology (stat.ME) #Neural Networks and Applications
  9. Higher-order mutual information reveals synergistic sub-networks for multi-neuron importance
    2022/11/01 by Kenzo Clauw, Clauw, Kenzo, Sebastiano Stramaglia +3 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #FOS: Biological sciences #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Neural Networks and Applications #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
  10. Connectome brain fingerprinting: terminology, measures, and target properties
    2025/06/06 by Matteo Fraschini, Matteo Demuru, Fraschini, Matteo +5 · 1 voice · 1 citation
    Computer Science · Biochemistry, Genetics and Molecular Biology · Neuroscience · #Biometric Identification and Security #Dermatoglyphics and Human Traits #Face Recognition and Perception
  11. Partial Information Rate Decomposition
    2025/02/06 by Luca Faes, Faes, Luca, Laura Sparacino +12 · 1 voice · 1 citation
    Engineering · Mathematics · #FOS: Computer and information sciences #Fault Detection and Control Systems #Methodology (stat.ME) #stat.ME
  12. Assessing high-order effects in feature importance via predictability decomposition
    2024/12/13 by Marlis Ontivero-Ortega, Luca Faes, Jesus M Cortes +2 · 1 voice · 1 citation
    #physics.data-an #stat.ML