Felipe S. Abrahão
Orcid: 0000-0001-7314-6543
According to our database1,
Felipe S. Abrahão
authored at least 27 papers
between 2016 and 2025.
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Bibliography
2025
Binarized Neural Networks Converge Toward Algorithmic Simplicity: Empirical Support for the Learning-as-Compression Hypothesis.
CoRR, May, 2025
Neurodivergent Influenceability as a Contingent Solution to the AI Alignment Problem.
CoRR, May, 2025
SuperARC: A Test for General and Super Intelligence Based on First Principles of Recursion Theory and Algorithmic Probability.
CoRR, March, 2025
Minimal algorithmic information loss methods for dimension reduction, feature selection and network sparsification.
Inf. Sci., 2025
2024
Parallel Process. Lett., 2024
Assembly Theory Reduced to Shannon Entropy and Rendered Redundant by Naive Statistical Algorithms.
CoRR, 2024
Decoding Geometric Properties in Non-Random Data from First Information-Theoretic Principles.
CoRR, 2024
Assembly Theory is an approximation to algorithmic complexity based on LZ compression that does not explain selection or evolution.
CoRR, 2024
2023
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence.
CoRR, 2023
CoRR, 2023
Optimal Spatial Deconvolution and Message Reconstruction from a Large Generative Model of Models.
CoRR, 2023
2021
Algorithmic Information Distortions in Node-Aligned and Node-Unaligned Multidimensional Networks.
Entropy, 2021
Algorithmic Probability of Large Datasets and the Simplicity Bubble Problem in Machine Learning.
CoRR, 2021
2020
Proceedings of the Complex Networks & Their Applications IX, 2020
2019
Theor. Comput. Sci., 2019
CoRR, 2019
2018
Expected Emergence of Algorithmic Information from a Lower Bound for Stationary Prevalence.
CoRR, 2018
An algorithmically random family of MultiAspect Graphs and its topological properties.
CoRR, 2018
2016
The "paradox" of computability and a recursive relative version of the Busy Beaver function.
CoRR, 2016
Relativizing an incompressible number and an incompressible function through subrecursive extensions of Turing machines.
CoRR, 2016