Julian Dierkes

According to our database, Julian Dierkes authored at least 6 papers between 2022 and 2026.

Collaborative distances:

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

2026

ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning.

Jannis Becktepe, Julian Dierkes, Carolin Benjamins, Aditya Mohan, David Salinas, Raghu Rajan, Frank Hutter, Holger Hoos, Marius Lindauer, Theresa Eimer

J. Data-centric Mach. Learn. Res., 2026

2025

TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming.

Roman Kalkreuth, Fabrício Olivetti de França, Anja Jankovic, Marie Anastacio, Julian Dierkes, Zdenek Vasícek, Holger H. Hoos

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

2024

ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning.

Jannis Becktepe, Julian Dierkes, Carolin Benjamins, Aditya Mohan, David Salinas, Raghu Rajan, Frank Hutter, Holger H. Hoos, Marius Lindauer, Theresa Eimer

CoRR, 2024

Combining Automated Optimisation of Hyperparameters and Reward Shape.

Julian Dierkes, Emma Cramer, Holger H. Hoos, Sebastian Trimpe

RLJ, 2024

2023

Efficient Utilization of Large Pre-Trained Models for Low Resource ASR.

Peter Vieting, Christoph Lüscher, Julian Dierkes, Ralf Schlüter, Hermann Ney

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Efficient Use of Large Pre-Trained Models for Low Resource ASR.

Peter Vieting, Christoph Lüscher, Julian Dierkes, Ralf Schlüter, Hermann Ney

CoRR, 2022