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Papers matching “model learning” 1,607

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The quantum cartpole: A benchmark environment for non-linear reinforcement learning
2024 SciPost Physics Core article Computer Science Quantum Computing Algorithms and Architecture Open access

Kai Meinerz, Simon Trebst, Mark Spencer Rudner, Evert van Nieuwenburg

0

citations
Offline Trajectory Optimization for Offline Reinforcement Learning
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Ziqi Zhao, Zhaochun Ren, Yang Liu, Fajie Yuan, Pengjie Ren, Zhumin Chen

0

citations
The Mini Wheelbot Dataset: High-Fidelity Data for Robot Learning (Dataset)
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Reinforcement Learning in Robotics Open access

Henrik Hose, Paul Brunzema, Devdutt Subhasish, Sebastian Trimpe

0

citations
Learning density functionals from noisy quantum data
2025 Machine Learning Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access

Emiel Koridon, Felix Frohnert, Eric Prehn, Evert van Nieuwenburg, Jordi Tura, Stefano Polla

2

citations
Physics for deep learning
2025 Cambridge University Press eBooks book-chapter Computer Science Quantum Computing Algorithms and Architecture

Kaelan Donatella, Juan Carrasquilla, Marylou Gabrié, Evert van Nieuwenburg, Filippo Vicentini, Lei Wang, +4 more

0

citations
Shadows of quantum machine learning
2024 Nature Communications article Computer Science Quantum Computing Algorithms and Architecture Open access

Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Riccardo Molteni, Vedran Dunjko

68

citations
Reinforcement learning for real-world production systems
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Reinforcement Learning in Robotics Open access

0

citations
Quantum machine learning beyond kernel methods
2023 Nature Communications article Computer Science Quantum Computing Algorithms and Architecture Open access cited by 2 patents

Sofiène Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Jonas M. Kübler, Hans J. Briegel, Vedran Dunjko

228

citations
Comparing multi-task strategies for multiple dataset learning in bioacoustics
2026 The Digital Academic Repository of Naturalis Biodiversity Center (Naturalis Biodiversity Center) other Computer Science Music and Audio Processing Open access

Céline Angonin, Grzegorz Chrupała, D. (Dan) Stowell

0

citations
Combining Slow and Fast: Complementary Filtering for Dynamics Learning
2023 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Reinforcement Learning in Robotics Open access

Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Sebastian Trimpe

2

citations
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing
2023 ACM Transactions on Information Systems article Computer Science Intelligent Tutoring Systems and Adaptive Learning Open access cited by 1 patent

Chaoran Cui, Yumo Yao, Chunyun Zhang, Hebo Ma, Zhaochun Ren, James Ko

98

citations
A Novel Radio Frequency Fingerprint Identification Method Using Incremental Learning
2022 IEEE Vehicular Technology Conference conference-paper Computer Science Wireless Signal Modulation Classification

Jie Zhou, Yang Peng, Guan Gui, Yun Lin, Bamidele Adebisi, Haris Gacanin, +1 more

21

citations
A Comparative Analysis of Attention versus State-Space Models for In-Context Learning
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Enes Arda, Semih Çaycı, Atilla Eryılmaz

0

citations
Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models: Comparative Study
2022 JMIR Medical Informatics article Computer Science Machine Learning in Healthcare Open access

Ahmad Ayad, Ahmed Hallawa, Arne Peine, Lukas Märtin, Lejla Begic Fazlic, Guido Dartmann, +2 more

14

citations
Gaussian Process Panel Modeling—Machine Learning Inspired Analysis of Longitudinal Panel Data
2020 Frontiers in Psychology article Computer Science Gaussian Processes and Bayesian Inference Open access

Julian David Karch, Andreas M. Brandmaier, Manuel C. Voelkle

19

citations
Encrypted federated learning for secure decentralized collaboration in cancer image analysis
2022 medRxiv preprint Computer Science Privacy-Preserving Technologies in Data Open access

Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, Gustav Anton Müller‐Franzes, Firas Khader, Philip Quirke, +21 more

7

citations
Twelve quick tips for applying deep learning to animal sounds
2026 PLoS Computational Biology article Computer Science Music and Audio Processing Open access

Burooj Ghani, A. Leonie Baier, Vincent J. Kalkman, Dan Stowell

0

citations
Quantum Deep Learning: A Comprehensive Review
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Yanjun Ji, Zhao-Yun Chen, Marco Roth, David A. Kreplin, Christian Schiffer, Martin King, +7 more

0

citations
The Impact of Robust Learning on Unsupervised Image Classification
2025 Signal Processing and Communications Applications Conference (SIU) conference-paper Computer Science Advanced Neural Network Applications

Ayça Şirin Kındap, Marc Hilbert

0

citations
Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive Control
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Julius Jagdt, Johanna Menn, Sebastian Trimpe, Melanie N. Zeilinger, Anna Scampicchio

0

citations
Lightweight Automatic Modulation Classification Based on Decentralized Learning
2021 IEEE Transactions on Cognitive Communications and Networking article Computer Science Wireless Signal Modulation Classification

Xue Gang Fu, Guan Gui, Yu Wang, Tomoaki Otsuki Ohtsuki, Bamidele Adebisi, Haris Gacanin, +1 more

96

citations
Deep Reinforcement Learning
2022 Springer eBooks book Computer Science Reinforcement Learning in Robotics Open access

Aske Plaat

65

citations
Learning Curve Extrapolation Methods Across Extrapolation Settings
2024 Lecture notes in computer science conference-paper Computer Science Machine Learning and Data Classification Open access

Lionel Kielhöfer, Felix Mohr, Jan N. van Rijn

3

citations
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning
2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Privacy-Preserving Technologies in Data Open access

Xinyuan Ji, Zhaowei Zhu, Xi Wei, Olga Gadyatskaya, Zilong Song, Yang Liu

31

citations
Privacy-Preserved Credit Data Sharing Integrating Blockchain and Federated Learning for Industrial 4.0
2022 IEEE Transactions on Industrial Informatics article Computer Science Blockchain Technology Applications and Security

Fan Yang, Yanan Qiao, Mohammad Zoynul Abedin, Cheng Huang

63

citations