2 papers
stat.ME2025
Sliding-Window Signatures as Features for Time Series Forecasting
Nina Drobac, Margaux Brégère, Margaux Br{é}g{è}re +2
The evolution of a time series is often influenced not only by its past values but also by external covariates, giving rise to forecasting with exogenous variables. Nonlinear and d…
cs.LG2023
On Dataset Transferability in Active Learning for Transformers
Fran Jelenić, Josip Jukić, Nina Drobac +1
Active learning (AL) aims to reduce labeling costs by querying the examples most beneficial for model learning. While the effectiveness of AL for fine-tuning transformer-based pre-…