Showing 1–20 of 44 results
/ Date/ Name
Apr 5, 2023IHCV: Discovery of Hidden Time-Dependent Control Variables in Non-Linear Dynamical SystemsJan 15, 2014Methods of Information Theory and Algorithmic Complexity for Network BiologyJun 19, 2014On the Theory and Algorithm for rigorous discretization in applications of Information TheoryApr 9, 2019Estimations of Integrated Information Based on Algorithmic Complexity and Dynamic QueryingFeb 24, 2018Symmetry and Algorithmic Complexity of Polyominoes and Polyhedral GraphsFeb 16, 2018Algorithmic Complexity and Reprogrammability of Chemical Structure NetworksFeb 16, 2018Minimal Algorithmic Information Loss Methods for Dimension Reduction, Feature Selection and Network SparsificationFeb 18, 2018Algorithmic Information Dynamics of Persistent Patterns and Colliding Particles in the Game of LifeApr 23, 2015Quantifying Loss of Information in Network-based Dimensionality Reduction TechniquesJan 17, 2015The Information-theoretic and Algorithmic Approach to Human, Animal and Artificial CognitionJul 9, 2023The Future of Fundamental Science Led by Generative Closed-Loop Artificial IntelligenceJul 10, 2020Learning Heat Diffusion for Network AlignmentJun 27, 2012Identifying the Relevant Nodes Without Learning the ModelAug 24, 2015Causality, Information and Biological Computation: An algorithmic software approach to life, disease and the immune systemNov 13, 2024Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum CircuitsJun 29, 2024T- Hop: A framework for studying the importance path information in molecular graphs for chemical property predictionMay 22, 2025Advancing the Scientific Method with Large Language Models: From Hypothesis to DiscoveryNov 1, 2020DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual ExplanationJun 17, 2018A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal DiseasesNov 6, 2019Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding