From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “data-efficient learning” 38

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

Data-Efficient Characterization of Battery Slurry Viscosity using Uncertainty-Based Active Learning with Neural Networks
2025 conference-paper Materials Science Machine Learning in Materials Science

Rui Yan Li, Christian Wittke, Robert Ludwigs, Paul Lingohr, Heiner Heimes, Oliver Niggemann, +1 more

0

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 IEEE International Conference on Intelligent Transportation Systems (ITSC) conference-paper Computer Science Reinforcement Learning in Robotics

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

3

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

0

citations
Active learning with neural ordinary differential equations for data-efficient modeling of tuned mass dampers
2026 Engineering Applications of Artificial Intelligence article Engineering Vibration Control and Rheological Fluids Open access

Pavle Milicevic, Sebastian Stemmler, Okyay Altay

0

citations
Data-Efficient Sleep Staging with Synthetic Time Series Pretraining
2025 Algorithms article Neuroscience EEG and Brain-Computer Interfaces Open access

Niklas Grieger, Siamak Mehrkanoon, Stephan Bialonski

2

citations
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers
2023 RWTH Publications (RWTH Aachen) preprint Computer Science AI in cancer detection Open access

Firas Khader, Jakob Nikolas Kather, Sven Nebelung, Christiane Katharina Kuhl, Johannes Stegmaier, Daniel Truhn

1

citations
Uncertainty-aware and Data-efficient Cosmological Emulation using Gaussian Processes and PCA
2023 arXiv (Cornell University) preprint Physics and Astronomy Cosmology and Gravitation Theories Open access

Sven Günther

8

citations
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers
2023 Lecture notes in computer science conference-paper Computer Science AI in cancer detection

Firas Khader, Jakob Nikolas Kather, Sven Nebelung, Christiane Katharina Kuhl, Johannes Stegmaier, Daniel Truhn

0

citations
Hybrid Neural Ordinary Differential Equations for Data-Efficient Polymerization Modeling with Incomplete Kinetics
2026 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Marah Almanasreh, Alexander Mitsos, Eike Cramer

0

citations
On data and knowledge transfer efficiency in deep learning
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Domain Adaptation and Few-Shot Learning Open access

Alessio Quercia

0

citations
High-Quality I/O Bandwidth Prediction with Minimal Data via Transfer Learning Workflow
2024 IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) conference-paper Computer Science Parallel Computing and Optimization Techniques

Dmytro Povaliaiev, Radita Liem, Julian Martin Kunkel, Jay Lofstead, Philip Carns

4

citations
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Emma Cramer, Bernd Frauenknecht, Ramil Sabirov, Sebastian Trimpe

0

citations
Task space adaptation via the learning of gait controllers of magnetic soft millirobots
2021 The International Journal of Robotics Research article Engineering Soft Robotics and Applications Open access cited by 1 patent

Sinan Özgün Demir, Utku Çulha, Alp Can Karacakol, Abdon Pena‐Francesch, Sebastian Trimpe, Metin Sitti

33

citations
All Models are Wrong, Knowing Where is Useful: On Model Uncertainty in Reinforcement Learning
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Devdutt Subhasish, Artur Eisele, Friedrich Solowjow, Sebastian Trimpe

0

citations
Safe Reinforcement Learning-Based Control for Hydrogen Diesel Dual-Fuel Engines
2025 IFAC-PapersOnLine article Computer Science Reinforcement Learning in Robotics Open access

Alexander Winkler, Armin Norouzi, Hongsheng Guo, Jakob Andert, David C. Gordon

3

citations
Safe Reinforcement Learning-based Control for Hydrogen Diesel Dual-Fuel Engines
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Alexander Winkler, Armin Norouzi, Jakob Andert, David C. Gordon, Hongsheng Guo

0

citations
A Synthetic Data Pipeline for Supporting Manufacturing SMEs in Visual Assembly Control
2025 conference-paper Engineering Industrial Vision Systems and Defect Detection

Jonas Werheid, Shengjie He, Aymen Gannouni, Anas Abdelrazeq, Robert Heinrich Schmitt

1

citations
Learning Deformable Linear Object Dynamics From a Single Trajectory
2025 IEEE Robotics and Automation Letters article Engineering Robot Manipulation and Learning Open access

Shamil Mamedov, A. René Geist, Sebastian Trimpe, Jan Swevers

5

citations
A Gaussian Process Based Method for Data- Efficient Remaining Useful Life Estimation
2021 IEEE Access article Engineering Machine Fault Diagnosis Techniques Open access

Maximilian Benker, Artem Bliznyuk, Michael F. Zaeh

23

citations
Learning deformable linear object dynamics from a single trajectory
2024 arXiv (Cornell University) preprint Engineering Dynamics and Control of Mechanical Systems Open access

Shamil Mamedov, A. René Geist, Sebastian Trimpe, Jan Swevers

0

citations
Is Active Learning Green? An Empirical Study
2023 IEEE International Conference on Big Data (BigData) conference-paper Computer Science Machine Learning and Algorithms

Shirin Salehi, Anke Schmeink

3

citations
Tissue concepts: Supervised foundation models in computational pathology
2025 Computers in Biology and Medicine article Computer Science AI in cancer detection Open access

Till Nicke, Henning Höfener, Friedrich Feuerhake, Dorit Merhof, Fabian M. Kiessling

8

citations
Conformal Cross-Modal Active Learning
2026 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Tobias Glück, Anke Schmeink, Andreas Kugi

0

citations
AI‐Based Segmentation for Corrosion Risk Prediction in Carline Designs
2024 Materials and Corrosion article Materials Science Corrosion Behavior and Inhibition

Marcel Gollé‐Leidreiter, Konstantin Kapfer, Andreas Mittelbach, Julia Kowalski

2

citations
Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing
2024 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Kenneth Michael Stewart, Sumit Bam Shrestha, Garrick Orchard, Emre Neftci

1

citations