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ORCIDJörg K. H. Franke
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2020 – today
- 2024
[j1]Frederic Runge, Jörg K. H. Franke, Daniel Fertmann, Rolf Backofen, Frank Hutter:
Partial RNA design. Bioinform. 40(Supplement_1): i437-i445 (2024)- [c4]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: 219 - [c3]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: 799-807 - [i13]Frederic Runge, Jörg K. H. Franke, Daniel Fertmann, Frank Hutter:
Rethinking Performance Measures of RNA Secondary Structure Problems. CoRR abs/2401.05351 (2024) - [i12]Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Jörg K. H. Franke, Frank Hutter:
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models. CoRR abs/2405.10299 (2024) - [i11]Simon Blauth, Tobias Bürger, Zacharias Häringer, Jörg K. H. Franke, Frank Hutter:
Fast Optimizer Benchmark. CoRR abs/2406.18701 (2024) - [i10]Tobias Strangmann, Lennart Purucker, Jörg K. H. Franke, Ivo Rapant, Fabio Ferreira, Frank Hutter:
Transfer Learning for Finetuning Large Language Models. CoRR abs/2411.01195 (2024) - 2023
- [i9]Frederic Runge, Jörg K. H. Franke, Frank Hutter:
Towards Automated Design of Riboswitches. CoRR abs/2307.08801 (2023) - [i8]Jörg K. H. Franke, Frederic Runge, Frank Hutter:
Scalable Deep Learning for RNA Secondary Structure Prediction. CoRR abs/2307.10073 (2023) - [i7]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 abs/2309.07513 (2023) - [i6]Jörg K. H. Franke, Michael Hefenbrock, Gregor Köhler, Frank Hutter:
New Horizons in Parameter Regularization: A Constraint Approach. CoRR abs/2311.09058 (2023) - 2022
- [c2]Jörg K. H. Franke, Frederic Runge, Frank Hutter:
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design. NeurIPS 2022 - [i5]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 abs/2203.01717 (2022) - [i4]Jörg K. H. Franke, Frederic Runge, Frank Hutter:
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design. CoRR abs/2205.13927 (2022) - 2021
- [c1]Jörg K. H. Franke, Gregor Köhler, André Biedenkapp, Frank Hutter:
Sample-Efficient Automated Deep Reinforcement Learning. ICLR 2021 - 2020
- [i3]Jörg K. H. Franke, Gregor Köhler, André Biedenkapp, Frank Hutter:
Sample-Efficient Automated Deep Reinforcement Learning. CoRR abs/2009.01555 (2020) - [i2]Danny Stoll, Jörg K. H. Franke, Diane Wagner, Simon Selg, Frank Hutter:
Hyperparameter Transfer Across Developer Adjustments. CoRR abs/2010.13117 (2020)
2010 – 2019
- 2019
- [i1]Jörg K. H. Franke, Gregor Köhler, Noor H. Awad, Frank Hutter:
Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control. CoRR abs/1910.12824 (2019)
Coauthor Index
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