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Papers matching “perceptron” 19

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Capacity of the covariance perceptron
2020 Journal of Physics A Mathematical and Theoretical article Computer Science Neural Networks and Applications Open access

7

citations
Capacity of the covariance perceptron
2020 RWTH Publications (RWTH Aachen) article Computer Science Neural Networks and Applications Open access

David Dahmen, Matthieu Gilson, Moritz Helias

6

citations
The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks
2020 PLoS Computational Biology article Computer Science Neural Networks and Applications Open access

Matthieu Gilson, David Dahmen, Rubén Moreno‐Bote, Andrea Insabato, Moritz Helias

11

citations
KAN We Improve on HEP Classification Tasks? Kolmogorov–Arnold Networks Applied to an LHC Physics Example
2025 Computing and Software for Big Science article Computer Science Neural Networks and Applications Open access

J. Erdmann, Florian Mausolf, Jan Lukas Späh

3

citations
LD-PA: Distilling Univariate Leakage for Deep Learning-Based Profiling Attacks
2024 IEEE Transactions on Information Forensics and Security article Computer Science Cryptographic Implementations and Security

Changcheng Xiao, Ming Tang, Sengim Karayalçın, Wei Cheng

5

citations
Surrogate Modelling of Dynamic Phasor Simulations of Electrical Drives
2022 Proceedings of the Annual Conference of the IEEE Industrial Electronics Society conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access

Nasrulloh Ratu Bagus Satrio Loka, Sriram Karthik Gurumurthy, Bernard S. Amevor, Antonello Monti, Tom Dhaene, Ivo Couckuyt

4

citations
Quantum walk in a reinforced free-energy landscape: Quantum annealing with reinforcement
2022 Physical Review A article Computer Science Quantum Computing Algorithms and Architecture Open access

Abolfazl Ramezanpour

3

citations
Does Personalization Help? Predicting How Social Situations Affect Personal Values
2022 Frontiers in artificial intelligence and applications book-chapter Computer Science Recommender Systems and Techniques Open access

Ilir Kola, Ralvi Isufaj, Catholijn M. Jonker

1

citations
Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks
2025 neural information processing systems conference-paper Computer Science Neural Networks and Applications Open access

Gavin McCracken, Gabriela Moisescu-Pareja, Vincent Létourneau, Doina Precup

0

citations
One for All, All for Ascon: Ensemble-Based Deep Learning Side-Channel Analysis
2024 Lecture notes in computer science conference-paper Computer Science Cryptographic Implementations and Security Open access

Azade Rezaeezade, Abraham Basurto-Becerra, Léo Weissbart, Guilherme Perin

17

citations
Explainable AI for correct root cause analysis of product quality in injection moulding
2025 Journal of Manufacturing Processes article Computer Science Explainable Artificial Intelligence (XAI) Open access

Muhammad Muaz, Sameed Sajid, Tobias Schulze, Chang Liu, Nils Klasen, Benny Drescher

15

citations
Can KANs Do It? Toward Interpretable Deep Learning-Based Side-Channel Analysis
2025 Lecture notes in computer science conference-paper Computer Science Cryptographic Implementations and Security

Kota Yoshida, Sengim Karayalçın, Stjepan Picek

0

citations
Resolving the Doubts: On the Construction and Use of ResNets for Side-Channel Analysis
2023 Mathematics article Computer Science Cryptographic Implementations and Security Open access cited by 2 patents

Sengim Karayalçın, Guilherme Perin, Stjepan Picek

10

citations
Smooth Kolmogorov Arnold networks enabling structural knowledge representation
2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Moein E. Samadi, Younes Müller, Andreas Schuppert

14

citations
Local Implicit Neural Representations for Multi-Sequence MRI Translation
2023 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science Generative Adversarial Networks and Image Synthesis Open access

Yunjie Chen, Marius Staring, Jelmer M. Wolterink, Qian Tao

7

citations
A Deep-Learning-Computed Cancer Score for the Identification of Human Hepatocellular Carcinoma Area Based on a Six-Colour Multiplex Immunofluorescence Panel
2023 Cells article Computer Science AI in cancer detection Open access

Axel Dievernich, Johannes Stegmaier, Pascal Achenbach, Svetlana Warkentin, Till A. Braunschweig, Ulf P. Neumann, +1 more

6

citations
CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation
2024 The Journal of Machine Learning for Biomedical Imaging article Computer Science Generative Adversarial Networks and Image Synthesis Open access

Yunjie Chen, Marius Staring, Olaf M. Neve, Stephan R. Romeijn, Erik Frans Hensen, Berit M. Verbist, +2 more

6

citations
ViT-Enhanced Prompts: Integrating Pre-Trained Knowledge for Robust Continuous Learning
2025 International Conference on Multimedia Retrieval conference-paper Computer Science Domain Adaptation and Few-Shot Learning

Guoqiang Xiao, Michael S. Lew, Song Wu

2

citations
Adaptive random Fourier features training stabilized by resampling with applications in image regression
2025 Foundations of Data Science article Computer Science Stochastic Gradient Optimization Techniques Open access

Aku Kammonen, Anamika Pandey, Erik von Schwerin, Raul F. Tempone

0

citations

19 results