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20232026
most citedExploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning

1 citations · 1 across the 12 of their papers we have counts for

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stat.ML2026

Learnability and Competition in High-Dimensional Multi-Component ICA

Eser Ilke Genc, Samet Demir, Zafer Dogan

Independent Component Analysis (ICA) is a foundational tool for unsupervised representation learning, yet its high-dimensional theory remains largely limited to single-component re…

stat.ML2026

Learning Beyond the Gaussian Data: Learning Dynamics of Neural Networks on an Expressive and Cumulant-Controllable Data Model

Onat Ure, Samet Demir, Zafer Dogan

We study the effect of high-order statistics of data on the learning dynamics of neural networks (NNs) by using a moment-controllable non-Gaussian data model. Considering the expre…