3 citations · 13 across the 10 of their papers we have counts for
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stat.AP2022★ 2 cited
Process-guidance improves predictive performance of neural networks for carbon turnover in ecosystems
Marieke Wesselkamp, Niklas Moser, Maria Kalweit +2
Despite deep-learning being state-of-the-art for data-driven model predictions, it has not yet found frequent application in ecology. Given the low sample size typical in many envi…
q-bio.NC2022
NeuRL: Closed-form Inverse Reinforcement Learning for Neural Decoding
Gabriel Kalweit, Maria Kalweit, Mansour Alyahyay +6
Current neural decoding methods typically aim at explaining behavior based on neural activity via supervised learning. However, since generally there is a strong connection between…