Daniel Andrés Díaz-Pachón

According to our database, Daniel Andrés Díaz-Pachón authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Statistical learning does not always entail knowledge.

Daniel Andrés Díaz-Pachón, H. Renata Gallegos, Ola Hössjer, J. Sunil Rao

CoRR, January, 2025

2024

An Information Theoretic Approach to Prevalence Estimation and Missing Data.

Ola Hössjer, Daniel Andrés Díaz-Pachón, Chen Zhao, J. Sunil Rao

IEEE Trans. Inf. Theory, May, 2024

Is it possible to know cosmological fine-tuning?

Daniel Andrés Díaz-Pachón, Ola Hössjer, Calvin Mathew

CoRR, 2024

2023

High Dimensional Mode Hunting Using Pettiest Components Analysis.

Tianhao Liu, Daniel Andrés Díaz-Pachón, J. Sunil Rao, Jean-Eudes J. Dazard

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Forecast Ergodicity: Prediction Modeling Using Algorithmic Information Theory.

Glauco A. Amigo, Daniel Andrés Díaz-Pachón, Robert J. Marks II

CoRR, 2023

2022

A Formal Framework for Knowledge Acquisition: Going beyond Machine Learning.

Ola Hössjer, Daniel Andrés Díaz-Pachón, J. Sunil Rao

Entropy, 2022

Assessing, Testing and Estimating the Amount of Fine-Tuning by Means of Active Information.

Daniel Andrés Díaz-Pachón, Ola Hössjer

Entropy, 2022

Active information, missing data and prevalence estimation.

Ola Hössjer, Daniel Andrés Díaz-Pachón, Chen Zhao, J. Sunil Rao

CoRR, 2022

2021

Active information requirements for fixation on the Wright-Fisher model of population genetics.

Daniel Andrés Díaz-Pachón, Robert J. Marks II

CoRR, 2021

Generalized active information: extensions to unbounded domains.

Daniel Andrés Díaz-Pachón, Robert J. Marks II

CoRR, 2021

2020

Mode hunting through active information.

Daniel Andrés Díaz-Pachón, Juan Pablo Sáenz, J. Sunil Rao, Jean-Eudes J. Dazard

CoRR, 2020

Hypothesis testing with active information.

Daniel Andrés Díaz-Pachón, Juan Pablo Sáenz, J. Sunil Rao

CoRR, 2020