Daniel Andrés Díaz-Pachón

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Conserved active information.
CoRR
Yanchen Chen, Daniel Andrés Díaz-Pachón
2025 J jnl
Statistical learning does not always entail knowledge.
CoRR
Daniel Andrés Díaz-Pachón, H. Renata Gallegos, Ola Hössjer, J. Sunil Rao
2024 J jnl
An Information Theoretic Approach to Prevalence Estimation and Missing Data.
IEEE Trans. Inf. Theory
Ola Hössjer, Daniel Andrés Díaz-Pachón, Chen Zhao, J. Sunil Rao
2024 J jnl
Is it possible to know cosmological fine-tuning?
CoRR
Daniel Andrés Díaz-Pachón, Ola Hössjer, Calvin Mathew
2023 J jnl
Forecast Ergodicity: Prediction Modeling Using Algorithmic Information Theory.
CoRR
Glauco A. Amigo, Daniel Andrés Díaz-Pachón, Robert J. Marks II
2023 J jnl
High Dimensional Mode Hunting Using Pettiest Components Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Tianhao Liu, Daniel Andrés Díaz-Pachón, J. Sunil Rao, Jean-Eudes J. Dazard
2022 J jnl
A Formal Framework for Knowledge Acquisition: Going beyond Machine Learning.
Entropy
Ola Hössjer, Daniel Andrés Díaz-Pachón, J. Sunil Rao
2022 J jnl
Active information, missing data and prevalence estimation.
CoRR
Ola Hössjer, Daniel Andrés Díaz-Pachón, Chen Zhao, J. Sunil Rao
2022 J jnl
Assessing, Testing and Estimating the Amount of Fine-Tuning by Means of Active Information.
Entropy
Daniel Andrés Díaz-Pachón, Ola Hössjer
2022 J jnl
Assessing, testing and estimating the amount of fine-tuning by means of active information.
CoRR
Daniel Andrés Díaz-Pachón, Ola Hössjer
2021 J jnl
Active information requirements for fixation on the Wright-Fisher model of population genetics.
CoRR
Daniel Andrés Díaz-Pachón, Robert J. Marks II
2021 J jnl
Generalized active information: extensions to unbounded domains.
CoRR
Daniel Andrés Díaz-Pachón, Robert J. Marks II
2020 J jnl
Hypothesis testing with active information.
CoRR
Daniel Andrés Díaz-Pachón, Juan Pablo Sáenz, J. Sunil Rao
2020 J jnl
Mode hunting through active information.
CoRR
Daniel Andrés Díaz-Pachón, Juan Pablo Sáenz, J. Sunil Rao, Jean-Eudes J. Dazard