85 citations · 742 across the 80 of their papers we have counts for
12 papers · 1 filter
On sequential structures in incompressible multidimensional networks
Felipe S. Abrahão, Klaus Wehmuth, Hector Zenil +1
In order to deal with multidimensional structure representations of real-world networks, as well as with their worst-case irreducible information content analysis, the demand for n…
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning
Rise Ooi, Chao-Han Huck Yang, Pin-Yu Chen +5
Networks are fundamental building blocks for representing data, and computations. Remarkable progress in learning in structurally defined (shallow or deep) networks has recently be…
Algorithmic information distortions and incompressibility in uniform multidimensional networks
Felipe S. Abrahão, Klaus Wehmuth, Hector Zenil +1
This article presents a theoretical investigation of generalized encoded forms of networks in a uniform multidimensional space. First, we study encoded networks with (finite) arbit…
On complexity of post-processing in analyzing GATE-driven X-ray spectrum
Neda Gholami, Mohammad Mahdi Dehshibi, Mahmood Fazlali +3
Computed Tomography (CT) imaging is one of the most influential diagnostic methods. In clinical reconstruction, an effective energy is used instead of total X-ray spectrum. This ap…
The Thermodynamics of Network Coding, and an Algorithmic Refinement of the Principle of Maximum Entropy
Hector Zenil, Narsis A. Kiani, Jesper Tegnér
The principle of maximum entropy (Maxent) is often used to obtain prior probability distributions as a method to obtain a Gibbs measure under some restriction giving the probabilit…
Algorithmic Complexity and Reprogrammability of Chemical Structure Networks
Hector Zenil, Narsis A. Kiani, Ming-Mei Shang +1
Here we address the challenge of profiling causal properties and tracking the transformation of chemical compounds from an algorithmic perspective. We explore the potential of appl…