4 citations · 6 across the 7 of their papers we have counts for
Showing 2023Show all
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q-bio.BM2023★ 4 cited
Rethinking Performance Measures of RNA Secondary Structure Problems
Frederic Runge, Jörg K. H. Franke, Daniel Fertmann +1
Accurate RNA secondary structure prediction is vital for understanding cellular regulation and disease mechanisms. Deep learning (DL) methods have surpassed traditional algorithms…
cs.LG2023★ 2 cited
Improving Deep Learning Optimization through Constrained Parameter Regularization
Jörg K. H. Franke, Michael Hefenbrock, Gregor Koehler +1
Regularization is a critical component in deep learning. The most commonly used approach, weight decay, applies a constant penalty coefficient uniformly across all parameters. This…