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Papers matching “network theory” 85

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A theory of data variability in Neural Network Bayesian inference
2023 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Javed Lindner, David Dahmen, Michael Krämer, Moritz Helias

0

citations
Degenerate flag varieties in network coding
2021 Advances in Mathematics of Communications article Computer Science Coding theory and cryptography Open access

Ghislain Fourier, Gabriele Nebe

9

citations
Field theory for optimal signal propagation in ResNets
2023 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Kirsten Fischer, David Dahmen, Moritz Helias

1

citations
Field theory for optimal signal propagation in residual networks
2025 Physical review. E article Computer Science Neural Networks and Applications Open access

Kirsten Fischer, David Dahmen, Moritz Helias

0

citations
Data variability in neural network Bayesian inference
2025 Physical Review Research article Computer Science Gaussian Processes and Bayesian Inference Open access

0

citations
From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning
2025 JuSER (Forschungszentrum Jülich) conference-paper Computer Science Neural Networks and Applications Open access

Noa Rubin, Javed Lindner, David Dahmen, Inbar Seroussi, Zohar Ringel, M. Krämer, +1 more

0

citations
A Systematic Review of Spectral Graph Methods for 5G Core Network Slicing: Methods, Architectures, and Future Research Directions
2025 International Journal on Advanced Computer Theory and Engineering review Computer Science Software-Defined Networks and 5G Open access

Emily L. Thompson, Karl Schneider, Alexei Petrov

0

citations
A Mean-Field Theory of Transformers: Well-Posedness of the Coupled Data--Parameter Dynamics and Global Convergence of Training
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Michael Herty, Hailiang Liu

0

citations
Optimization-Free Diffusion Model -- A Perturbation Theory Approach
2025 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Yuehaw Khoo, Mathias Oster, Yifan Peng

0

citations
A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations
2022 Frontiers in Neuroinformatics article Computer Science Parallel Computing and Optimization Techniques Open access

Jasper Albers, Jari Pronold, Anno Christopher Kurth, Stine Brekke Vennemo, Kaveh Haghighi Mood, Alexander Patronis, +6 more

15

citations
Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers
2022 Parallel Computing article Computer Science Parallel Computing and Optimization Techniques Open access

Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel

27

citations
Future Directions in the Theory of Graph Machine Learning
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Fabrizio Frasca, Nadav Dym, Haggai Maron, İsmail İlkan Ceylan, Ron Levie, Derek Lim, +3 more

0

citations
Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Itay Lavie, Kirsten Fischer, Andrey Lekov, Frederic Van Maele, Zohar Ringel, Moritz Helias

0

citations
Towards an Isabelle Theory for distributed, interactive systems : the untimed case
2020 RWTH Publications (RWTH Aachen) report Computer Science Logic, programming, and type systems Open access

Jens Christoph Bürger, Hendrik Kausch, Deni Raco, Jan Oliver Ringert, Bernhard Rumpe⋆, Sebastian Stüber, +1 more

3

citations
Towards a Theory of Machine Learning on Graphs and its Applications in Combinatorial Optimization
2024 conference-paper Computer Science Advanced Graph Neural Networks Open access

Christopher Morris

0

citations
Mean-field and kinetic descriptions of neural differential equations
2022 Foundations of Data Science article Computer Science Neural Networks and Applications Open access

Michaël Herty, Torsten Trimborn, Giuseppe Visconti

9

citations
Mean-Field and Kinetic Descriptions of Neural Differential Equations
2020 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Michael Herty, T. Trimborn, G. Visconti

0

citations
Aging and reliability of quantum networks
2024 Physical Review A article Computer Science Quantum Information and Cryptography Open access

Lisa T. Weinbrenner, Lina Vandré, Tim Coopmans, Otfried Gühne

8

citations
Unified field theoretical approach to deep and recurrent neuronal networks
2022 Journal of Statistical Mechanics Theory and Experiment article Computer Science Gaussian Processes and Bayesian Inference Open access

Kai Segadlo, Bastian Epping, Alexander van Meegen, David Dahmen, Moritz Helias

17

citations
Lecture Notes on Quantum Electrical Circuits
2024 book Computer Science Quantum Information and Cryptography Open access

Alessandro Ciani, David Peter Divincenzo, Barbara M. Terhal

11

citations
Consistent Quantization of Nearly Singular Superconducting Circuits
2023 Physical Review X article Computer Science Quantum Information and Cryptography Open access

Martin Rymarz, David Peter Divincenzo

24

citations
I Know What Your Layers Did: Layer-wise Explainability of Deep Learning Side-channel Analysis
2026 IACR Communications in Cryptology article Computer Science Cryptographic Implementations and Security Open access

Guilherme Perin, Sengim Karayalçın, Lichao Wu, Stjepan Picek

1

citations
Transient Chaotic Dimensionality Expansion by Recurrent Networks
2021 Physical Review X article Computer Science Neural Networks and Reservoir Computing Open access

Christian Keup, Tobias Kühn, David Dahmen, Moritz Helias

27

citations
Towards quantum advantage via topological data analysis
2022 Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access cited by 4 patents

Casper Gyurik, Chris Cade, Vedran Dunjko

42

citations
Double Descent in Quantum Kernel Methods
2025 PRX Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access

1

citations