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Papers matching “gradient-based learning” 32

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Understanding transfer learning and gradient-based meta-learning techniques
2023 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access cited by 1 patent

Mike Huisman, Aske Plaat, Jan N. van Rijn

12

citations
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

0

citations
Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression?
2023 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access

Joe Harrison, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman

8

citations
A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity
2025 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Jamie Lohoff, Florian Assmuth, Emre Neftci

0

citations
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

5

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
Subspace Adaptation Prior for Few-Shot Learning
2023 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

4

citations
Subspace Adaptation Prior for Few-Shot Learning
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

0

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
Data-Driven Qubit Characterization and Optimal Control using Deep Learning
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Paul Surrey, Julian D. Teske, Tobias Hangleiter, Hendrik Bluhm, Pascal Cerfontaine

0

citations
Data-Driven Qubit Characterization and Optimal Control using Deep Learning
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Paul Surrey, Julian D. Teske, Tobias Hangleiter, Hendrik Bluhm, Pascal Cerfontaine

0

citations
Automatic heliostat learning for in situ concentrating solar power plant metrology with differentiable ray tracing
2024 Nature Communications article Energy Solar Thermal and Photovoltaic Systems Open access

Max Pargmann, Jan Ebert, Markus Götz, Daniel Maldonado Quinto, Robert Pitz‐Paal, Stefan Kesselheim

27

citations
Finite Operator Learning: Bridging neural operators and numerical methods for efficient parametric solution and optimization of PDEs
2025 Finite Elements in Analysis and Design article Physics and Astronomy Model Reduction and Neural Networks Open access

Shahed Rezaei, Reza Najian Asl, Kianoosh Taghikhani, Ahmad Moeineddin, Michael Kaliske, Markus Apel

14

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
Cautious optimism for deep parameterized quantum circuits
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Marie Kempkes, Elies Gil-Fuster, Carlos Bravo-Prieto, Aroosa Ijaz, Alissa Wilms, Jens Eisert, +2 more

0

citations
Differentiable Geomodeling: Opportunities and Challenges
2023 conference-abstract Earth and Planetary Sciences Geological Modeling and Analysis Open access

Florian Wellmann, Miguel de la Varga, Zhouji Liang, Jian Yang

0

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
Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

0

citations
Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks
2026 ACM Transactions on Evolutionary Learning and Optimization article Computer Science Reinforcement Learning in Robotics Open access

Annie Wong, Jacob de Nobel, Thomas Bäck, Aske Plaat, Anna V. Kononova

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
Differentiable Geomodeling: towards a tighter implementation of structural geological models into geophysical inverse frameworks
2024 conference-abstract Earth and Planetary Sciences Geological Modeling and Analysis Open access

Florian Wellmann, Miguel de la Varga, Zhouji Liang

1

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
Contrastive learning of extragalactic stellar streams
2026 Astronomy and Astrophysics article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

Ernesto Mújica Benítez, Jelle Mes, Juan Miró-Carretero, Konrad H. Kuijken, A. Helmi

0

citations