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stat.ML2025
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
M. Emrullah Ildiz, Halil Alperen Gozeten, Ege Onur Taga +2
A growing number of machine learning scenarios rely on knowledge distillation where one uses the output of a surrogate model as labels to supervise the training of a target model.…
cs.LG2025
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
Ege Onur Taga, M. Emrullah Ildiz, Samet Oymak
The diversity of time series applications and scarcity of domain-specific data highlight the need for time-series models with strong few-shot learning capabilities. In this work, w…