most citedDMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2025

TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents

Yifu Cai, Xinyu Li, Mononito Goswami +3

We introduce TimeSeriesGym, a scalable benchmarking framework for evaluating Artificial Intelligence (AI) agents on time series machine learning engineering challenges. Existing be…

cs.LG2021★ 1 cited

DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting

Cristian Challu, Kin G. Olivares, Gus Welter +1

Neural forecasting has shown significant improvements in the accuracy of large-scale systems, yet predicting extremely long horizons remains a challenging task. Two common problems…