1 citations · 1 across the 3 of their papers we have counts for
3 papers
BSAT: B-Spline Adaptive Tokenizer for Long-Term Time Series Forecasting
Maximilian Reinwardt, Michael Eichelbeck, Matthias Althoff
Long-term time series forecasting using transformers is hampered by the quadratic complexity of self-attention and the rigidity of uniform patching, which may be misaligned with th…
Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions
Roland Stolz, Michael Eichelbeck, Matthias Althoff
In reinforcement learning (RL), it is often advantageous to consider additional constraints on the action space to ensure safety or action relevance. Existing work on such action-c…
Predicting building types and functions at transnational scale
Jonas Fill, Michael Eichelbeck, Michael Ebner
Building-specific knowledge such as building type and function information is important for numerous energy applications. However, comprehensive datasets containing this informatio…