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Papers matching “linear networks” 448

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Generalizing neural network verification to the family of piece-wise linear activation functions
2025 Science of Computer Programming article Computer Science Neural Networks and Applications Open access

László Antal, Erika Ábrahám, Hana Masara

3

citations
Generalizing neural network verification to the family of piece-wise linear activation functions
2025 Science of Computer Programming article Computer Science Adversarial Robustness in Machine Learning Open access

0

citations
Linear Discriminant Analysis Metric Learning Using Siamese Neural Networks
2022 2022 IEEE International Conference on Image Processing (ICIP) conference-paper Computer Science Face and Expression Recognition

Abin Jose, Dennis Eschweiler, Ina Laube, Johannes Stegmaier

2

citations
Supplementary dataset for paper: "Approximate non-linear model predictive control with safety-augmented neural networks"
2023 Zenodo (CERN European Organization for Nuclear Research) supplementary-materials Engineering Advanced Control Systems Optimization Open access

Henrik Hose, Johannes Köhler, Melanie N. Zeilinger, Sebastian Trimpe

0

citations
Supplementary dataset for paper: "Approximate non-linear model predictive control with safety-augmented neural networks"
2023 Zenodo (CERN European Organization for Nuclear Research) supplementary-materials Engineering Advanced Control Systems Optimization Open access

Henrik Hose, Johannes Köhler, Melanie N. Zeilinger, Sebastian Trimpe

0

citations
Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers
2021 Information and Inference A Journal of the IMA article Computer Science Stochastic Gradient Optimization Techniques Open access

Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg

29

citations
Efficient Sequential Neural Network with Spatial-Temporal Attention and Linear LSTM for Robust Lane Detection Using Multi-Frame Images
2026 arXiv (Cornell University) preprint Engineering Autonomous Vehicle Technology and Safety Open access

Sandeep Patil, Yongqi Dong, Haneen Farah, J. Hellendoorn

0

citations
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Chendi Qian, Didier Chételat, Christopher Morris

2

citations
Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks
2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Xiyue Zhang, Holger H. Hoos, Marta Kwiatkowska, Jan N. van Rijn

0

citations
Path classification by stochastic linear recurrent neural networks
2022 Advances in Continuous and Discrete Models article Computer Science Neural Networks and Reservoir Computing Open access

Youness Boutaib, Wiebke Bartolomaeus, Sandra Nestler, Holger Rauhut

3

citations
Convergence of gradient based training for linear Graph Neural Networks
2025 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Dhiraj Patel, Anton Savostianov, Michael T. Schaub

0

citations
A Monte Carlo Simulation Approach in Non-linear Structural Dynamics Using Convolutional Neural Networks
2021 Frontiers in Built Environment article Engineering Structural Health Monitoring Techniques Open access

Franz Bamer, Denny Thaler, Marcus Stoffel, Bernd A. Markert

15

citations
Convergence of gradient descent for learning linear neural networks
2024 Advances in Continuous and Discrete Models article Computer Science Stochastic Gradient Optimization Techniques Open access

Gabin Maxime Nguegnang, Holger Rauhut, Ulrich Terstiege

10

citations
Extending Neural Network Verification to a Larger Family of Piece-wise Linear Activation Functions
2023 Electronic Proceedings in Theoretical Computer Science article Computer Science Adversarial Robustness in Machine Learning Open access

László Antal, Hana Masara, Erika Ábrahám

4

citations
The loss landscape of deep linear neural networks: a second-order analysis
2021 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

El Mehdi Achour, François Malgouyres, Sébastien Gerchinovitz

1

citations
Evaluation of possible network states in the future German hydrogen network 2025 and 2030
2024 Sustainable Energy Grids and Networks article Engineering Integrated Energy Systems Optimization Open access

Tobias Alexander Triesch, Theresa Klütz, Jochen Linßen, Detlef Stolten

0

citations
Convergence of gradient descent for learning linear neural networks
2021 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Gabin Maxime Nguegnang, Holger Rauhut, Ulrich Terstiege

1

citations
Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks
2024 Lecture notes in computer science conference-paper Physics and Astronomy Model Reduction and Neural Networks

Xiyue Zhang, Holger H. Hoos, Marta Kwiatkowska, Jan N. van Rijn

0

citations
Evaluation of Possible Network States in the Future German Hydrogen Network 2025 and 2030
2023 SSRN Electronic Journal preprint Engineering Integrated Energy Systems Optimization Open access

Tobias Alexander Triesch, Theresa Groß, Jochen Linßen, Detlef Stolten

1

citations
Query Languages for Neural Networks
2025 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Advanced Graph Neural Networks Open access

Juno Steegmans

0

citations
Query Languages for Neural Networks
2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Martin Grohe, Christoph Standke, Juno Steegmans, Jan Van den Bussche

0

citations
Converting networks to predictive logic models from perturbation signalling data with CellNOpt
2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Gene Regulatory Network Analysis Open access

Enio Gjerga, Panuwat Trairatphisan, Attila Gábor, Hermann Koch, Francesco Ceccarelli, Aurélien J. F. Dugourd, +2 more

4

citations
Converting networks to predictive logic models from perturbation signalling data with CellNOpt
2020 Bioinformatics article Biochemistry, Genetics and Molecular Biology Gene Regulatory Network Analysis Open access

Enio Gjerga, Panuwat Trairatphisan, Attila Gábor, Hermann Koch, Franceco Ceccarelli, Aurélien J. F. Dugourd, +2 more

37

citations
A mean-field toolbox for spiking neuronal network model analysis
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Neural dynamics and brain function Open access

Moritz Layer, Johanna Senk, Simon Essink, Alexander van Meegen, Hannah Bos, Moritz Helias

0

citations
A Generative Adversarial Network Approach to Predict Nanoparticle Size in Microfluidics
2024 ACS Biomaterials Science & Engineering article Engineering Microfluidic and Capillary Electrophoresis Applications

Sara Mihandoost, Sima Rezvantalab, Roger M. Pallares, Volkmar Schulz, Fabian M. Kiessling

20

citations