2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Efficiently Generating Correlated Sample Paths from Multi-step Time Series Foundation Models
Ethan Baron, Boris Oreshkin, Ruijun Ma +5
Many time series applications require access to multi-step forecast trajectories in the form of sample paths. Recently, time series foundation models have leveraged multi-step look…
cs.LG2024★ 2 cited
A Foundation Model for Soccer
Ethan Baron, Daniel Hocevar, Zach Salehe
We propose a foundation model for soccer, which is able to predict subsequent actions in a soccer match from a given input sequence of actions. As a proof of concept, we train a tr…