Rchr
J-GLOBAL ID:202201008153865843   Update date: Aug. 10, 2024

Morales Pablo

モラレス パブロ | Morales Pablo
Affiliation and department:
Job title: Chief Researcher
Research keywords  (3): Information Theory ,  Quantum Chromodynamics ,  Quantum Field Theory in Curved Spacetime
Research theme for competitive and other funds  (3):
  • 2024 - 2027 Neural Networks on Curved Statistical Manifolds
  • 2023 - 2026 A principled generalization of the maximum entropy principle for non-Shannon systems
  • 2014 - 2017 Behavior of QCD under external fields
Papers (12):
  • Miguel Aguilera, Pablo A. Morales, Fernando E. Rosas, Hideaki Shimazaki. Explosive neural networks via higher-order interactions in curved statistical manifolds. 2024
  • Pablo A. Morales, Pavel Castro-Villarreal. Emergent Elastic Surfaces from Two-Dimensional Dirac Materials. arXiv.2404.02741. 2024
  • Patrick Copinger, Pablo Morales. Emergent spacetime from a Berry-inspired dynamical gauge field coupled to electromagnetism. Physical Review D. 2023. 108. 6
  • Pablo Morales, Jan Korbel, Fernando Rosas. Thermodynamics of exponential Kolmogorov-Nagumo averages. New Journal of Physics. 2023. 25. 073011
  • Pablo A. Morales, Jan Korbel, Fernando E. Rosas. Geometric Structures Induced by Deformations of the Legendre Transform. Entropy. 2023. 25. 4. 678-678
more...
Lectures and oral presentations  (13):
  • Higher-Order Interactions Effects from the Maximum Entropy Principle of Curved Statistical Manifolds
    (MaxEnt 2024, 43nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering 2024)
  • Beyond Shannon: Geometric and Thermodynamic Consequences of a deformed Legendre Transform on Curved Statistical Manifolds
    (MaxEnt 2023, 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering 2023)
  • Geometry of Multivariate-Interdependencies & the Maximum Entropy Principle
    (Emergence in Complex Systems, Tokyo Institute of Technology 2022)
  • Information-Geometric Framework from convexity
    (International Conference on Information Geometry for Data Science, Hamburg, Germany 2022)
  • Information-Geometric Framework from convexity
    (Invited talk at University of Sussex, Brighton, UK 2022)
more...
Education (1):
  • 2014 - 2018 The University of Tokyo Graduate School of Science Doctoral Program Physics
Professional career (1):
  • Physics Ph.D (The University of Tokyo)
Work history (3):
  • 2020/08 - 現在 Araya Inc. Research & Development Department Chief Researcher
  • 2022/07 - 2022/10 Imperial College London Centre For Complexity Science Visiting Researcher
  • 2016/11 - Brookhaven National Laboratory
Committee career (1):
  • 2021/09 - 2022/07 MDPI, Entropy (Guest Editor) Special Issue "Towards a Quantitative Understanding of Agency"
Awards (2):
  • 2014/04 - The Japan Society for the Promotion of Science JSPS Research fellowship for young scientists (DC1)
  • 2010/10 - Ministry of Education, Culture, Sports, Science and Technology of Japan Japanese Government MEXT Scholar
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