Dr. Mehmet Suzen

Publications - selected -

• Compressive transition path sampling: How to simulate rare event for longer time scales?
  Manuscript: arXiv:1804.09781
  
  
• Spectral ergodicity could explain deep learning.
  Manuscript: arXiv:1704.08303
  Software:
  • Python Package Bristol Parallel Random Matrix Tools
  Talks :
  • Spectral ergodicity for explainable deep learning:A simulation approach
  • Spectral Ergodicity in Deep Learning Architectures
• Effective ergodicity in single-spin-flip dynamics
  Phys. Rev. E 90, 032141 (2014) DOI: 10.1103/PhysRevE.90.032141
  Mehmet Suezen
  
• Compressed sensing in diffuse optical tomography
  Optics Express, Vol. 18, Issue 23, pp. 23676-23690 (2010) DOI: 10.1364/OE.18.023676
  Mehmet Suezen; A. Giannoula and T. Durduran
  

Thesis

• Induced Charge Computation, PhD Dissertation, FIAS, Goethe University, Frankfurt/Main
• Chaotic bahaviour of geodesics, MSc Thesis in Theoretical Physics, Cyprus

Selected Talks

• Selected concepts on the physics of measurements, This is an attempt to bridge the concepts of ergodicity, ensemble equivalance and sub-sampled signal recovery concepts from classical statistical mechanics perspective.

Data Science

• Repositories on Github
• Blog: Memo`s Island: The art of data science and scientific computing
• Blog: Scientific Memo: Scientific Scratch Pad

• Understanding overfitting: an inaccurate meme in supervised learning (August 2017)
• Practical Kullback-Leibler (KL) Divergence: Discrete Case (January 2017)
• Economy and dynamic modelling: Haavelmo's approach (July 2016)
• S-shaped data: Smoothing with quasibinomial distribution (January 2016)
• Testing emergent gravity: Gravitational Lensing to atom interferometer (January 2017)
• Understanding the empirical law of large numbers and the gambler's fallacy (August 2016)

(c) 2016, 2017, 2018 by Mehmet Suezen
suzen at acm dot org
All rights reserved
Do not duplicate without prior permission.