Publications & Works

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1. Geometric Deep Learning: A Bibliometric Analysis of Research Evolution and Emerging Directions

Özkan R.
IEEE Access , vol.14, pp.124642-124662, 2026 (SCI-Expanded, Scopus)
Papers Presented at Peer-Reviewed Scientific Conferences 3

1. Complexity of a Randomly Initialized Neural Network Through Its Affine Regions: A Higher-Dimensional Random-Polytope Viewpoint and the Possible Role of Spectral Properties of Large Weight Matrices

Özkan R., Hirsch C.
Random Metric Graphs (WG1 + WG4 Workshop), Praha, Czech Republic, 16 - 18 September 2026, (Summary Text)

2. Large deviations for linear-region counts in randomly initialized deep piecewise-linear networks

Özkan R., Hirsch C.
27th International Conference on COMPUTATIONAL STATISTICS (COMPSTAT 2026), Athens, Greece, 25 - 28 August 2026, (Summary Text)

3. On the Estimation of the Expected Number of Real Zeros of Random Modular Forms

Özkan R.
AMS 2025 Fall Eastern Sectional Meeting, New York, United States Of America, 25 - 26 October 2025, vol.46, no.4, pp.1, (Summary Text)
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