Jörg K. H. Franke

According to our database, Jörg K. H. Franke authored at least 21 papers between 2019 and 2025.

Collaborative distances:

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

2025

Learning in Compact Spaces with Approximately Normalized Transformers.

Jörg K. H. Franke, Urs Spiegelhalter, Marianna Nezhurina, Jenia Jitsev, Frank Hutter, Michael Hefenbrock

CoRR, May, 2025

KinPFN: Bayesian Approximation of RNA Folding Kinetics using Prior-Data Fitted Networks.

Dominik Scheuer, Frederic Runge, Jörg K. H. Franke, Michael T. Wolfinger, Christoph Flamm, Frank Hutter

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues.

Riccardo Grazzi, Julien Siems, Arber Zela, Jörg K. H. Franke, Frank Hutter, Massimiliano Pontil

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Beyond Random Augmentations: Pretraining with Hard Views.

Fabio Ferreira, Ivo Rapant, Jörg K. H. Franke, Frank Hutter

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Transfer Learning for Finetuning Large Language Models.

Tobias Strangmann, Lennart Purucker, Jörg K. H. Franke, Ivo Rapant, Fabio Ferreira, Frank Hutter

CoRR, 2024

Fast Optimizer Benchmark.

Simon Blauth, Tobias Bürger, Zacharias Häringer, Jörg K. H. Franke, Frank Hutter

CoRR, 2024

HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models.

Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Jörg K. H. Franke, Frank Hutter

CoRR, 2024

Rethinking Performance Measures of RNA Secondary Structure Problems.

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

CoRR, 2024

Partial RNA design.

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

Bioinform., 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

HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models.

Rhea Sukthanker, Arber Zela, Benedikt Staffler, Aaron Klein, Lennart Purucker, Jörg K. H. Franke, Frank Hutter

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Improving Deep Learning Optimization through Constrained Parameter Regularization.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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