Jörg K. H. Franke

30 papers A* 7A 1Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Balancing Synthetic Data and Replay for Enhancing Task-Specific Capabilities. CoRR Urs Spiegelhalter, Jörg K. H. Franke, Frank Hutter
2025	A*	`conf`	Beyond Random Augmentations: Pretraining with Hard Views. ICLR Fabio Ferreira, Ivo Rapant, Jörg K. H. Franke, Frank Hutter
2025	J	`jnl`	Increasing LLM Coding Capabilities through Diverse Synthetic Coding Tasks. CoRR Amal Abed, Ivan Lukic, Jörg K. H. Franke, Frank Hutter
2025	A*	`conf`	KinPFN: Bayesian Approximation of RNA Folding Kinetics using Prior-Data Fitted Networks. ICLR Dominik Scheuer, Frederic Runge, Jörg K. H. Franke, Michael T. Wolfinger, Christoph Flamm, Frank Hutter
2025	J	`jnl`	Learning in Compact Spaces with Approximately Normalized Transformers. CoRR Jörg K. H. Franke, Urs Spiegelhalter, Marianna Nezhurina, Jenia Jitsev, Frank Hutter, Michael Hefenbrock
2025	J	`jnl`	Open-sci-ref-0.01: open and reproducible reference baselines for language model and dataset comparison. CoRR Marianna Nezhurina, Jörg K. H. Franke, Taishi Nakamura, Timur Carstensen, Niccolò Ajroldi, Ville Komulainen, David Salinas, Jenia Jitsev
2025	J	`jnl`	Practitioner Motives to Use Different Hyperparameter Optimization Methods. ACM Trans. Comput. Hum. Interact. Niclas Kannengießer, Niklas Hasebrook, Felix Morsbach, Marc-André Zöller, Jörg K. H. Franke, Marius Lindauer, Frank Hutter, Ali Sunyaev
2025	J	`jnl`	Towards Scaling Laws for Symbolic Regression. CoRR David Otte, Jörg K. H. Franke, Frank Hutter
2025	A*	`conf`	Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues. ICLR Riccardo Grazzi, Julien Siems, Arber Zela, Jörg K. H. Franke, Frank Hutter, Massimiliano Pontil
2024	—	`conf`	Abstract: RecycleNet - Latent Feature Recycling Leads to Iterative Decision Refinement. Bildverarbeitung für die Medizin Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein
2024	J	`jnl`	Fast Optimizer Benchmark. CoRR Simon Blauth, Tobias Bürger, Zacharias Häringer, Jörg K. H. Franke, Frank Hutter
2024	A*	`conf`	HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models. NeurIPS Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Aaron Klein, Lennart Purucker, Jörg K. H. Franke, Frank Hutter
2024	J	`jnl`	HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models. CoRR Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Jörg K. H. Franke, Frank Hutter
2024	A*	`conf`	Improving Deep Learning Optimization through Constrained Parameter Regularization. NeurIPS Jörg K. H. Franke, Michael Hefenbrock, Gregor Köhler, Frank Hutter
2024	J	`jnl`	Partial RNA design. Bioinform. Frederic Runge, Jörg K. H. Franke, Daniel Fertmann, Rolf Backofen, Frank Hutter
2024	A	`conf`	RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. WACV Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein
2024	J	`jnl`	Rethinking Performance Measures of RNA Secondary Structure Problems. CoRR Frederic Runge, Jörg K. H. Franke, Daniel Fertmann, Frank Hutter
2024	J	`jnl`	Transfer Learning for Finetuning Large Language Models. CoRR Tobias Strangmann, Lennart Purucker, Jörg K. H. Franke, Ivo Rapant, Fabio Ferreira, Frank Hutter
2024	J	`jnl`	Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues. CoRR Riccardo Grazzi, Julien Siems, Jörg K. H. Franke, Arber Zela, Frank Hutter, Massimiliano Pontil
2023	J	`jnl`	New Horizons in Parameter Regularization: A Constraint Approach. CoRR Jörg K. H. Franke, Michael Hefenbrock, Gregor Köhler, Frank Hutter
2023	J	`jnl`	RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. CoRR Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein
2023	J	`jnl`	Scalable Deep Learning for RNA Secondary Structure Prediction. CoRR Jörg K. H. Franke, Frederic Runge, Frank Hutter
2023	J	`jnl`	Towards Automated Design of Riboswitches. CoRR Frederic Runge, Jörg K. H. Franke, Frank Hutter
2022	A*	`conf`	Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design. NeurIPS Jörg K. H. Franke, Frederic Runge, Frank Hutter
2022	J	`jnl`	Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design. CoRR Jörg K. H. Franke, Frederic Runge, Frank Hutter
2022	J	`jnl`	Why Do Machine Learning Practitioners Still Use Manual Tuning? A Qualitative Study. CoRR Niklas Hasebrook, Felix Morsbach, Niclas Kannengießer, Jörg K. H. Franke, Frank Hutter, Ali Sunyaev
2021	A*	`conf`	Sample-Efficient Automated Deep Reinforcement Learning. ICLR Jörg K. H. Franke, Gregor Köhler, André Biedenkapp, Frank Hutter
2020	J	`jnl`	Hyperparameter Transfer Across Developer Adjustments. CoRR Danny Stoll, Jörg K. H. Franke, Diane Wagner, Simon Selg, Frank Hutter
2020	J	`jnl`	Sample-Efficient Automated Deep Reinforcement Learning. CoRR Jörg K. H. Franke, Gregor Köhler, André Biedenkapp, Frank Hutter
2019	J	`jnl`	Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control. CoRR Jörg K. H. Franke, Gregor Köhler, Noor H. Awad, Frank Hutter