2 papers
cond-mat.dis-nn2025
Spectral Analysis of Representational Similarity with Limited Neurons
Hyunmo Kang, Abdulkadir Canatar, SueYeon Chung
Understanding representational similarity between neural recordings and computational models is essential for neuroscience, yet remains challenging to measure reliably due to the c…
stat.ML2025
Learning curves theory for hierarchically compositional data with power-law distributed features
Francesco Cagnetta, Hyunmo Kang, Matthieu Wyart
Recent theories suggest that Neural Scaling Laws arise whenever the task is linearly decomposed into power-law distributed units. Alternatively, scaling laws also emerge when data…