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Jörg Franke
Jörg Franke
Verified email at cs.uni-freiburg.de - Homepage
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From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge
P Bandi, O Geessink, Q Manson, M Van Dijk, M Balkenhol, M Hermsen, ...
IEEE transactions on medical imaging 38 (2), 550-560, 2018
4922018
Phoneme Boundary Detection using Deep Bidirectional LSTMs
J Franke, M Mueller, F Hamlaoui, S Stueker, A Waibel
Speech Communication; 12. ITG Symposium; Proceedings of, 1-5, 2016
382016
Sample-Efficient Automated Deep Reinforcement Learning
JKH Franke, G Köhler, A Biedenkapp, F Hutter
Proceedings of Conference on Learning Representations. ICLR 2021., 2020
362020
Robust and scalable differentiable neural computer for question answering
J Franke, J Niehues, A Waibel
Proceedings of the Workshop on Machine Reading for Question Answering. ACL 2018., 2018
272018
Towards phoneme inventory discovery for documentation of unwritten languages
M Müller, J Franke, A Waibel, S Stüker
Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017
172017
Improving phoneme set discovery for documenting unwritten languages
M Müller, J Franke, S Stüker, A Waibe
Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung …, 2017
142017
Why do machine learning practitioners still use manual tuning? A qualitative study
N Hasebrook, F Morsbach, N Kannengießer, J Franke, F Hutter, ...
arXiv preprint arXiv:2203.01717, 2022
112022
Hyperparameter Transfer Across Developer Adjustments
D Stoll, JKH Franke, D Wagner, S Selg, F Hutter
NeurIPS 4th Workshop on Meta-Learning (2020), 2020
92020
Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control
JKH Franke, G Köhler, N Awad, F Hutter
Workshop on Meta-Learning. NeurIPS 2019., 2019
72019
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design
JKH Franke, F Runge, F Hutter
36th Conference on Neural Information Processing Systems (NeurIPS 2022), 2022
62022
Scalable Deep Learning for RNA Secondary Structure Prediction
JKH Franke, F Runge, F Hutter
The 2023 ICML Workshop on Computational Biology, ICML 2023, 2023
32023
Towards Automated Design of Riboswitches
F Runge, JKH Franke, F Hutter
The 2023 ICML Workshop on Computational Biology, ICML 2023, 2023
12023
RNAformer: A Simple Yet Effective Deep Learning Model for RNA Secondary Structure Prediction
JKH Franke, F Runge, R Koeksal, R Backofen, F Hutter
bioRxiv, 2024.02. 12.579881, 2024
2024
RnaBench: A Comprehensive Library for In Silico RNA Modelling
F Runge, K Farid, JKH Franke, F Hutter
bioRxiv, 2024.01. 09.574794, 2024
2024
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement
G Koehler, T Wald, C Ulrich, D Zimmerer, PF Jaeger, JKH Franke, S Kohl, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
2024
Partial RNA Design
F Runge, JKH Franke, D Fertmann, R Backofen, F Hutter
bioRxiv, 2023.12. 29.573656, 2023
2023
New Horizons in Parameter Regularization: A Constraint Approach
JKH Franke, M Hefenbrock, G Koehler, F Hutter
OPT 2023: Optimization for Machine Learning, 2023
2023
Rethinking Performance Measures of RNA Secondary Structure Problems
F Runge, JKH Franke, D Fertmann, F Hutter
arXiv preprint arXiv:2401.05351, 2023
2023
Constrained Parameter Regularization
JKH Franke, M Hefenbrock, G Koehler, F Hutter
2023
Analysis and Advancement of Differentiable Neural Computers for Question Answering
J Franke
Karlsruhe Institute of Technology (KIT), 2018
2018
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