9 citations · 42 across the 25 of their papers we have counts for
3 papers · 1 filter
PEMS: Pre-trained Epidemic Time-series Models
Harshavardhan Kamarthi, B. Aditya Prakash
Providing accurate and reliable predictions about the future of an epidemic is an important problem for enabling informed public health decisions. Recent works have shown that leve…
Large Pre-trained time series models for cross-domain Time series analysis tasks
Harshavardhan Kamarthi, B. Aditya Prakash
Large pre-trained models have been vital in recent advancements in domains like language and vision, making model training for individual downstream tasks more efficient and provid…
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez +2
Probabilistic hierarchical time-series forecasting is an important variant of time-series forecasting, where the goal is to model and forecast multivariate time-series that have un…