Angel Plastino
Orcid: 0000-0001-5848-0770Affiliations:
- National University La Plata, Exact Sciences Faculty, Argentina
- University of Pretoria, Department of Physics, South Africa
- Universidad de Granada, Institute Carlos I for Theoretical and Computational Physics (IC1), Spain
According to our database1,
Angel Plastino
authored at least 40 papers
between 2003 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on orcid.org
-
on d-nb.info
-
on web.up.ac.za
On csauthors.net:
Bibliography
2024
Estimate of the Storage Capacity of q-Correlated Patterns in Hopfield Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
2023
Brief Review on the Connection between the Micro-Canonical Ensemble and the Sq-Canonical Probability Distribution.
Entropy, April, 2023
Generalized Thermostatistics and the Nonequilibrium Landscape Description of Neural Network Dynamics.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
2022
Entropy, December, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
2021
Nonlinear Fokker-Planck Equation for an Overdamped System with Drag Depending on Direction.
Symmetry, 2021
Information-Theoretic Features of Many Fermion Systems: An Exploration Based on Exactly Solvable Models.
Entropy, 2021
Entropy, 2021
Thermal-Statistical Odd-Even Fermions' Staggering Effect and the Order-Disorder Disjunction.
Entropy, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
2020
Nonlinear Fokker-Planck Equation Approach to Systems of Interacting Particles: Thermostatistical Features Related to the Range of the Interactions.
Entropy, 2020
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
2019
Entropic Characterization of Quantum States with Maximal Evolution under Given Energy Constraints.
Entropy, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019
2018
Entropy, 2018
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
2017
Quantum Inf. Process., 2017
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
2016
Quantum Inf. Comput., 2016
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
2014
2013
Invertible mappings and the large deviation theory for the $q$-maximum entropy principle
CoRR, 2013
2012
Appl. Math. Lett., 2012
2011
Entropy, 2011
Deformed Statistics Free Energy Model for Source Separation using Unsupervised Learning
CoRR, 2011
Generalized Kullback-Leibler Divergence Minimization within a Scaled Bregman Framework
CoRR, 2011
2010
2009
Universal Forms for One-Dimensional Quantum Hamiltonians: A Comparison of the SUSY and the De La Peña Factorization Approaches.
Int. J. Math. Math. Sci., 2009
2008
2003
Int. J. Bifurc. Chaos, 2003