2 papers
cs.LG2026
A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks
Anish Saha, Konstantin Shmakov
In-context learning (ICL) enables task adaptation at inference time by conditioning on demonstrations rather than updating model parameters. Although recent time-series foundation…
cs.LG2024
A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment
Zhengchao Yang, Mithun Ghosh, Anish Saha +3
Ads demand forecasting for Walmart's ad products plays a critical role in enabling effective resource planning, allocation, and management of ads performance. In this paper, we int…