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Papers matching “computational learning theory” 108

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Application of batch learning for boosting high-throughput ab initio success rates and reducing computational effort required using data-driven processes
2025 Electronic Structure article Materials Science Machine Learning in Materials Science Open access

Robin Hilgers, Daniel Wortmann, Stefan Blügel

2

citations
Gamified Learning Theory: The Moderating role of learners' learning tendencies
2021 International Journal of Serious Games article Psychology Educational Games and Gamification Open access

Nadja Zaric, René Röpke, Vlatko Lukarov, Ulrik Schroeder

50

citations
On establishing learning separations between classical and quantum machine learning with classical data
2022 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Casper Gyurik, Vedran Dunjko

9

citations
Computation and Learning in High Dimensions
2026 Oberwolfach Reports article Mathematics Mathematical Approximation and Integration Open access

Markus Bachmayr, Albert Cohen, Angela Kunoth, Olga Mula

1

citations
Integrating information theory and adversarial learning for cross-modal retrieval
2021 Pattern Recognition article Computer Science Multimodal Machine Learning Applications Open access

Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew

32

citations
Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval
2021 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access

Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew

0

citations
Modeling Cognitive-Affective Processes With Appraisal and Reinforcement Learning
2024 IEEE Transactions on Affective Computing article Neuroscience Neural and Behavioral Psychology Studies Open access

Joost Broekens, Jussi Jokinen

15

citations
The Parameterized Complexity of Learning Monadic Second-Order Logic
2025 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Advanced Graph Theory Research Open access

Steffen van Bergerem

0

citations
On the Parameterized Complexity of Learning First-Order Logic
2022 ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS) conference-paper Computer Science Advanced Graph Theory Research

Steffen van Bergerem, Martin Grohe, Martin Ritzert

3

citations
The Parameterized Complexity of Learning Monadic Second-Order Logic
2023 HAL (Le Centre pour la Communication Scientifique Directe) conference-paper Computer Science Advanced Graph Theory Research Open access

Steffen van Bergerem, Martin Grohe, Nina Runde

0

citations
The Parameterized Complexity of Learning Monadic Second-Order Logic
2025 Leibniz international proceedings in informatics article Computer Science Advanced Graph Theory Research Open access

Steffen van Bergerem, Martin Grohe, Nina Runde

0

citations
Machine Learning Isotropic g Values of Radical Polymers
2024 Journal of Chemical Theory and Computation article Materials Science Machine Learning in Materials Science Open access

Davis Thomas Daniel, Souvik Mitra, Rüdiger‐A. Eichel, Diddo Diddens, Josef Granwehr

5

citations
Machine Learning-based estimation and explainable artificial intelligence-supported interpretation of the critical temperature from magnetic ab initio Heusler alloys data
2025 Physical Review Materials article Materials Science Machine Learning in Materials Science Open access

Robin Hilgers, Daniel Wortmann, Stefan Blügel

5

citations
Recurrent Online and Transfer Learning of a CNC-Machining Center with Support Vector Machines
2021 IEEE International Symposium on Industrial Electronics (ISIE) conference-paper Engineering Control Systems and Identification

Muzaffer Ay, Max Schwenzer, Dirk Abell, Thomas Bergs

6

citations
Simulation of Raman-Spectra of water using machine learning potentials
2025 Chemical Physics article Materials Science Machine Learning in Materials Science Open access

Jan Eckwert, Wassja A. Kopp, Kai O. Leonhard

1

citations
3D multi-physics uncertainty quantification using physics-based machine learning
2022 Scientific Reports article Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen, Mauro Cacace, Florian Wellmann

30

citations
Supervisors’ intention to observe clinical task performance: an exploratory study using the theory of planned behaviour during postgraduate medical training
2020 BMC Medical Education article Medicine Innovations in Medical Education Open access

Laury P. J. W. M. de Jonge, Ilse Mesters, Marjan Govaerts, Angelique A. Timmerman, Jean W. M. Muris, Anneke W. M. Kramer, +1 more

15

citations
Supervisors’ intention to observe clinical task performance: an exploratory study using the Theory of Planned Behaviour during postgraduate medical training
2020 Research Square preprint Medicine Innovations in Medical Education Open access

Laury P. J. W. M. de Jonge, Ilse Mesters, Marjan Govaerts, Angelique A. Timmerman, Jean W. M. Muris, Anneke W. M. Kramer, +1 more

0

citations
Machine Learning-based estimation and explainable artificial intelligence-supported interpretation of the critical temperature from magnetic ab initio Heusler alloys data
2023 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access

Robin Hilgers, Daniel Wortmann, Stefan Blügel

4

citations
Mechanistic machine learning for metamaterial fatigue strength design from first principles in additive manufacturing
2024 Materials & Design article Materials Science Machine Learning in Materials Science Open access

Mustafa Awd, Lobna Saeed, Sebastian Münstermann, Matthias G.R. Faes, Frank Walther

10

citations
Learning Interacting Theories from Data
2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Claudia Merger, Alexandre René, Kirsten Fischer, Peter Bouss, Sandra Nestler, David Dahmen, +2 more

0

citations
Reliability-Optimal Offloading in Low-Latency Edge Computing Networks: Analytical and Reinforcement Learning Based Designs
2021 IEEE Transactions on Vehicular Technology article Computer Science IoT and Edge/Fog Computing

Yao Lin Zhu, Yulin Hu, Tianyu Yang, Tao Yang, Jannik Vogt, Anke Schmeink

31

citations
Exponential separations between classical and quantum learners
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Casper Gyurik, Vedran Dunjko

7

citations
A theory of data variability in Neural Network Bayesian inference
2023 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Javed Lindner, David Dahmen, Michael Krämer, Moritz Helias

0

citations
Atomate2: modular workflows for materials science
2025 Digital Discovery article Materials Science Machine Learning in Materials Science Open access

Alex M. Ganose, Hrushikesh P. Sahasrabuddhe, Mark Asta, Tathagata Biswas, Alexander Bonkowski, Joana Bustamante, +48 more

41

citations