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Papers matching “scalable learning” 129

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Towards Personalized Game-Based Learning in Anti-Phishing Education
2020 IEEE International Conference on Advanced Learning Technologies (ICALT) conference-paper Computer Science Spam and Phishing Detection

René Röpke, Ulrik Schroeder, Vincent Drury, Ulrike Meyer

3

citations
Quantum Circuit Discovery for Fault-Tolerant Logical State Preparation with Reinforcement Learning
2025 Physical Review X article Computer Science Quantum Computing Algorithms and Architecture Open access

Remmy A. M. Zen, Jan Ollé, Luis Colmenárez, Matteo Ballerini Puviani, Markus Michael Müller, Florian Marquardt

8

citations
Parallel Split Learning with Global Sampling
2025 conference-paper Computer Science Privacy-Preserving Technologies in Data Open access

Mohammad Kohankhaki, Ahmad Ayad, Mahdi Barhoush, Anke Schmeink

1

citations
Learning General Policies with Policy Gradient Methods
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Learning General Policies with Policy Gradient Methods
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Quantum Deep Learning: A Comprehensive Review
2026 JuSER (Forschungszentrum Jülich) 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
Multi-Agent Proximal Policy Optimization for a Deadlock Capable Transport System in a Simulation-Based Learning Environment
2023 Winter Simulation Conference conference-paper Computer Science Reinforcement Learning in Robotics

Marcel Müller, Lorena Silvana Reyes-Rubiano, Tobias Reggelin, Hartmut Zadek

2

citations
Symmetry-invariant quantum machine learning force fields
2025 New Journal of Physics article Computer Science Quantum Computing Algorithms and Architecture Open access

Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino

10

citations
Symmetry-invariant quantum machine learning force fields
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino

4

citations
Learning Explainable and Better Performing Representations of POMDP Strategies
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Alexander Bork, Debraj Chakraborty, Kush Grover, Jan Křetínský, Stefanie Mohr

2

citations
Sketch Decompositions for Classical Planning via Deep Reinforcement Learning
2025 International Joint Conference on Artificial Intelligence conference-paper Computer Science AI-based Problem Solving and Planning Open access

Michael Aichmüller, Héctor Geffner

0

citations
Extraction of Quantitative Specimen Data using Machine Learning as a Service in the DiSSCo Research Infrastructure
2025 preprint Computer Science Advanced Neural Network Applications Open access

Claus Weiland, Jonas Grieb, Soulaine Theocharides, Sam Leeflang, Wouter Addink, Sharif Islam

1

citations
Cooperative Partial Task-Offloading for Heterogeneous Industrial Robotic MEC System Using Spectral and Energy-Efficient Federated Learning
2023 Globecom conference-paper Computer Science IoT and Edge/Fog Computing

Mohsen Pourghasemian, Haris Gacanin, Erma Perenda

4

citations
Application of the learning from errors principle in tufting machines
2026 IET conference proceedings. conference-paper Computer Science Augmented Reality Applications

LONGXIANG SHAO, Dominik Hüsener, Michael Schluse, Juergen Rossmann

0

citations
Application of the learning from errors principle in tufting machines
2025 arXiv (Cornell University) preprint Computer Science Augmented Reality Applications Open access

LONGXIANG SHAO, Dominik Hüsener, Michael Schluse, Juergen Rossmann

0

citations
Application of the learning from errors principle in tufting machines
2025 arXiv (Cornell University) preprint Computer Science Augmented Reality Applications Open access

LONGXIANG SHAO, Dominik Hüsener, Michael Schluse, Juergen Rossmann

0

citations
Accurately Solving Physical Systems with Graph Learning
2020 arXiv (Cornell University) preprint Computer Science Computer Graphics and Visualization Techniques Open access

Tassilo Kugelstadt, Wojtek Pałubicki, Jan Bender, Sören Pirk, Dominik Ludewig Michels

4

citations
Probabilistic machine learning for pattern recognition and design exploration
2021 RWTH Publications (RWTH Aachen) dissertation Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Cremanns

3

citations
BanffNET, a Deep Learning System for Comprehensive Histological Lesion Quantification in Kidney Transplant Biopsies
2026 medRxiv preprint Computer Science AI in cancer detection Open access

Giorgio Buzzanca, Chiara Pala, Junling He, Rianne Hofstraat, Alessandra Tammaro, Dominique van Midden, +41 more

2

citations
A survey of deep learning in image processing: developments, applications and challenges
2026 Artificial Intelligence Review article Computer Science Advanced Neural Network Applications Open access

Zhan Xiong, Xiaoqin Tang, Fons J. Verbeek

0

citations
Parallel Adaptive Multi-Objective Evolutionary Learning of Discretized Bayesian Network Classifiers for Clinical Data
2026 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Bayesian Modeling and Causal Inference Open access

Damy M. F. Ha, Thalea Schlender, Yvette M. van der Linden, Peter A. N. Bosman, Tanja Alderliesten

0

citations
Learning General Policies with Policy Gradient Methods
2023 conference-paper Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

10

citations
Large language models for structured cardiovascular data extraction: a foundation for scalable research and clinical applications
2025 European Heart Journal - Digital Health article Computer Science Machine Learning in Healthcare Open access

Wouter P M van der Loo, Viktor van der Valk, Tim van den Broek, Douwe E. Atsma, Marius Staring, Roderick W.C. Scherptong

4

citations
Large language models for structured cardiovascular data extraction: a foundation for scalable research and clinical applications
2026 TNO Repository article Computer Science Machine Learning in Healthcare Open access

W. van der Loo, Viktor van der Valk, T. van den Broek, Douwe E. Atsma, Marius Staring, R.W.C. Scherptong

0

citations
Graph Learning with 1D Convolutions on Random Walks.
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jan Toenshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe

5

citations