Jörg K. H. Franke

According to our database1, Jörg K. H. Franke authored at least 18 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
0
5
10
6
3
1
1
1
4
1
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues.
CoRR, 2024

Transfer Learning for Finetuning Large Language Models.
CoRR, 2024

Fast Optimizer Benchmark.
CoRR, 2024

HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models.
CoRR, 2024

Rethinking Performance Measures of RNA Secondary Structure Problems.
CoRR, 2024

Partial RNA design.
Bioinform., 2024

RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models.
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.
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.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
New Horizons in Parameter Regularization: A Constraint Approach.
CoRR, 2023

Scalable Deep Learning for RNA Secondary Structure Prediction.
CoRR, 2023

Towards Automated Design of Riboswitches.
CoRR, 2023

2022
Why Do Machine Learning Practitioners Still Use Manual Tuning? A Qualitative Study.
CoRR, 2022

Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design.
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.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Hyperparameter Transfer Across Developer Adjustments.
CoRR, 2020

2019
Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control.
CoRR, 2019


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