Showing 21–40 of 44 results
/ Date/ Name
Sep 15, 2017An Algorithmic Information Calculus for Causal Discovery and Reprogramming SystemsJan 15, 2018Predictive Systems ToxicologyFeb 18, 2018Algorithmic Causal Deconvolution of Intertwined Programs and Networks by Generative MechanismDec 3, 2015Evaluating Network Inference Methods in Terms of Their Ability to Preserve the Topology and Complexity of Genetic NetworksAug 27, 2024Assembly Theory Reduced to Shannon Entropy and Rendered Redundant by Naive Statistical AlgorithmsNov 19, 2020VLG-Net: Video-Language Graph Matching Network for Video GroundingNov 14, 2018Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary LearningFeb 11, 2019Synthesizing New Retinal Symptom Images by Multiple Generative ModelsMay 18, 2018The Thermodynamics of Network Coding, and an Algorithmic Refinement of the Principle of Maximum EntropyAug 16, 2018Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning ModelAug 21, 2016Low Algorithmic Complexity Entropy-deceiving GraphsJan 24, 2015Numerical Investigation of Graph Spectra and Information Interpretability of EigenvaluesSep 21, 2015Approximations of Algorithmic and Structural Complexity Validate Cognitive-behavioural Experimental ResultsJan 29, 2026Quantum LEGO Learning: A Modular Design Principle for Hybrid Artificial IntelligenceOct 7, 2019Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable SpacesJul 9, 2018Learning Functions in Large Networks requires Modularity and produces Multi-Agent DynamicsJun 5, 2017HiDi: An efficient reverse engineering schema for large scale dynamic regulatory network reconstruction using adaptive differentiationMar 11, 2024Assembly Theory is an approximation to algorithmic complexity based on LZ compression that does not explain selection or evolutionJul 20, 2016Characterization and reduction of variability in selection based on effect-size using association measures in cohort study of heterogeneous diseasesJun 14, 2025Interpretable Causal Representation Learning for Biological Data in the Pathway Space