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Papers matching “gradient-based learning” 11

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Machine Learning-Based Dynamic Modeling of Ball Joint Friction for Real-Time Applications
2025 Lubricants article Engineering Vehicle Dynamics and Control Systems Open access

Kai Pfitzer, Lucas Rath, Sebastian Kolmeder, Burkhard J. Corves, Günther Prokop

4

citations
Meta-learning spiking neural networks with surrogate gradient descent
2022 Neuromorphic Computing and Engineering article Engineering Advanced Memory and Neural Computing Open access

Kenneth Michael Stewart, Emre Neftci

38

citations
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent
2022 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Emre Neftci

2

citations
Training Spiking Neural Networks Using Lessons From Deep Learning
2023 Proceedings of the IEEE article Engineering Advanced Memory and Neural Computing Open access

Jason K. Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, +3 more

787

citations
Real-life data-driven model predictive control for building energy systems comparing different machine learning models
2024 Energy and Buildings article Engineering Building Energy and Comfort Optimization Open access

Phillip Stoffel, Max Berktold, Dirk Müller

71

citations
Real-Life Data-Driven Model Predictive Control for Building Energy Systems Comparing Different Machine Learning Models
2023 SSRN Electronic Journal preprint Engineering Building Energy and Comfort Optimization Open access

Phillip Stoffel, Max Berktold, Dirk Müller

3

citations
Application of CIGAR for collective learning between CNN–BiLSTM models in lithium-ion battery state of health prediction
2026 Neural Computing and Applications article Engineering Advanced Battery Technologies Research Open access

Sylwia Olbrych, Zi Xuan Tung, Sehriban Celik, Hans Aoyang Zhou, Anas Abdelrazeq, Dirk Uwe Sauer, +1 more

0

citations
More than accuracy: end-to-end wind power forecasting that optimises the energy system
2023 Electric Power Systems Research article Engineering Energy Load and Power Forecasting Open access

Dariush Wahdany, Carlo Schmitt

57

citations
Optimized Pulse Patterns Design for Electrical Drives: A Reinforcement Learning Approach
2026 IEEE Open Journal of the Industrial Electronics Society article Engineering Electric Motor Design and Analysis Open access

Mohammad Abu-Ali, Felix Berkel, Maximilian Manderla, Markus Pietschner, Daniel Görges

0

citations
Investigation of reinforcement learning for shape optimization of 2D profile extrusion die geometries
2023 Advances in Computational Science and Engineering article Engineering Topology Optimization in Engineering Open access

Clemens Fricke, Daniel Wolff, Marco Kemmerling, Stefanie Elgeti

7

citations
Distributed Unsupervised Learning for Combinatorial User Assignment in mmWave Cell-Free Massive MIMO Using Graph Neural Networks
2026 IEEE Transactions on Wireless Communications article Engineering Advanced MIMO Systems Optimization Open access

Bile Peng, Bihan Guo, Karl-Ludwig Besser, Luca Kunz, Zhengyang Li, Ramprasad Raghunath, +4 more

0

citations

11 results