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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…