no code implementations • 17 Apr 2024 • Mike A. Merrill, Mingtian Tan, Vinayak Gupta, Tom Hartvigsen, Tim Althoff
But it remains unknown whether non-trivial forecasting implies that language models can reason about time series.
no code implementations • 26 May 2022 • Mike A. Merrill, Tim Althoff
Here, we introduce a neural architecture for multivariate time series classification designed to address these unique domain challenges.
no code implementations • 9 Jul 2021 • Mike A. Merrill, Tim Althoff
This architecture combines benefits from CNN and Trans-former architectures to (1) enable better prediction performance by learning directly from raw minute-level sensor data without the need for handcrafted features by up to 0. 33 ROC AUC, and (2) use pretraining to outperform simpler neural models and boosted decision trees with data from as few a dozen participants.
no code implementations • 28 Aug 2020 • Ge Zhang, Mike A. Merrill, Yang Liu, Jeffrey Heer, Tim Althoff
Large scale analysis of source code, and in particular scientific source code, holds the promise of better understanding the data science process, identifying analytical best practices, and providing insights to the builders of scientific toolkits.