Jörg K. H. Franke

According to our database, Jörg K. H. Franke authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Rethinking Performance Measures of RNA Secondary Structure Problems.

Frederic Runge, Jörg K. H. Franke, Daniel Fertmann, Frank Hutter

CoRR, 2024

RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement.

Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Abstract: RecycleNet - Latent Feature Recycling Leads to Iterative Decision Refinement.

Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

New Horizons in Parameter Regularization: A Constraint Approach.

Jörg K. H. Franke, Michael Hefenbrock, Gregor Köhler, Frank Hutter

CoRR, 2023

Scalable Deep Learning for RNA Secondary Structure Prediction.

Jörg K. H. Franke, Frederic Runge, Frank Hutter

CoRR, 2023

Towards Automated Design of Riboswitches.

Frederic Runge, Jörg K. H. Franke, Frank Hutter

CoRR, 2023

2022

Why Do Machine Learning Practitioners Still Use Manual Tuning? A Qualitative Study.

Niklas Hasebrook, Felix Morsbach, Niclas Kannengießer, Jörg K. H. Franke, Frank Hutter, Ali Sunyaev

CoRR, 2022

Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design.

Jörg K. H. Franke, Frederic Runge, Frank Hutter

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Sample-Efficient Automated Deep Reinforcement Learning.

Jörg K. H. Franke, Gregor Köhler, André Biedenkapp, Frank Hutter

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Hyperparameter Transfer Across Developer Adjustments.

Danny Stoll, Jörg K. H. Franke, Diane Wagner, Simon Selg, Frank Hutter

CoRR, 2020

2019

Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control.

Jörg K. H. Franke, Gregor Köhler, Noor H. Awad, Frank Hutter

CoRR, 2019