3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2024
ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers
Arvid Weyrauch, Thomas Steens, Oskar Taubert +6
Transformers have recently gained prominence in long time series forecasting by elevating accuracies in a variety of use cases. Regrettably, in the race for better predictive perfo…
cs.DC2022★ 3 cited
Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads
René Caspart, Sebastian Ziegler, Arvid Weyrauch +10
With the rise of AI in recent years and the increase in complexity of the models, the growing demand in computational resources is starting to pose a significant challenge. The nee…