Jörg K. H. Franke

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Iterative Refinement

Rna Secondary Structure Prediction

Reinforcement Learning

Smoothing Parameter

Top Venues

Bildverarbeitung für die Medizin

Publications

Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein
Abstract: RecycleNet - Latent Feature Recycling Leads to Iterative Decision Refinement. Bildverarbeitung für die Medizin (2024)
Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. WACV (2024)
Frederic Runge, Jörg K. H. Franke, Daniel Fertmann, Frank Hutter
Rethinking Performance Measures of RNA Secondary Structure Problems. CoRR (2024)
Simon Blauth, Tobias Bürger, Zacharias Häringer, Jörg K. H. Franke, Frank Hutter
Fast Optimizer Benchmark. CoRR (2024)
Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Jörg K. H. Franke, Frank Hutter
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models. CoRR (2024)
Jörg K. H. Franke, Michael Hefenbrock, Gregor Köhler, Frank Hutter
New Horizons in Parameter Regularization: A Constraint Approach. CoRR (2023)
Frederic Runge, Jörg K. H. Franke, Frank Hutter
Towards Automated Design of Riboswitches. CoRR (2023)
Jörg K. H. Franke, Frederic Runge, Frank Hutter
Scalable Deep Learning for RNA Secondary Structure Prediction. CoRR (2023)
Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. CoRR (2023)
Niklas Hasebrook, Felix Morsbach, Niclas Kannengießer, Jörg K. H. Franke, Frank Hutter, Ali Sunyaev
Why Do Machine Learning Practitioners Still Use Manual Tuning? A Qualitative Study. CoRR (2022)
Jörg K. H. Franke, Frederic Runge, Frank Hutter
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design. NeurIPS (2022)
Jörg K. H. Franke, Frederic Runge, Frank Hutter
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design. CoRR (2022)
Jörg K. H. Franke, Gregor Köhler, André Biedenkapp, Frank Hutter
Sample-Efficient Automated Deep Reinforcement Learning. ICLR (2021)
Jörg K. H. Franke, Gregor Köhler, André Biedenkapp, Frank Hutter
Sample-Efficient Automated Deep Reinforcement Learning. CoRR (2020)
Danny Stoll, Jörg K. H. Franke, Diane Wagner, Simon Selg, Frank Hutter
Hyperparameter Transfer Across Developer Adjustments. CoRR (2020)
Jörg K. H. Franke, Gregor Köhler, Noor H. Awad, Frank Hutter
Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control. CoRR (2019)