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Papers matching “EQUATOR Network” 31

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A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms
2024 SIAM Journal on Scientific Computing article Computer Science Neural Networks and Applications

Danimir T. Doncevic, Alexander Mitsos, Y. P. Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, +1 more

9

citations
Neural-network quantum states
2025 Cambridge University Press eBooks book-chapter Computer Science Quantum Computing Algorithms and Architecture

Borja Requena, Kaelan Donatella, Juan Carrasquilla, Marylou Gabrié, Evert van Nieuwenburg, Filippo Vicentini, +5 more

19

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
Deep Relaxation of Controlled Stochastic Gradient Descent via Singular Perturbations
2024 SIAM Journal on Control and Optimization article Computer Science Advanced Mathematical Modeling in Engineering Open access

Martino Bardi, Hicham Kouhkouh

4

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
Scalable construction of spiking neural networks using up to thousands of GPUs
2026 Neuromorphic Computing and Engineering article Computer Science Parallel Computing and Optimization Techniques Open access

Bruno Golosio, Gianmarco Tiddia, José Villamar, L. Pontisso, Luca Sergi, Francesco Simula, +7 more

0

citations
FPGA-accelerated Binary Neural Networks as a surrogate model for a viscoplastic constitutive law in impulsively loaded beams
2025 Mechanics Research Communications article Computer Science Advanced Neural Network Applications Open access

Vasileios Polydoras, Saurabh Balkrishna Tandale, Rutwik Gulakala, Marcus Stoffel

2

citations
Trainable embedding quantum physics informed neural networks for solving nonlinear PDEs
2025 Scientific Reports article Computer Science Quantum Computing Algorithms and Architecture Open access

Norbert Hosters, Matthias Möller

13

citations
Self-adaptive physics-informed quantum machine learning for solving differential equations
2024 Machine Learning Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access

Rasul Abdusalamov, Felix Motzoi

11

citations
Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jakob Kramp, Javed Lindner, Moritz Helias

0

citations
Critical feature learning in deep neural networks
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Javed Lindner, David Dahmen, Zohar Ringel, M. Krämer, Moritz Helias

0

citations
Uncertainty Propagation in Deep Gaussian Process Networks
2025 Mathematical Geosciences article Computer Science Gaussian Processes and Bayesian Inference Open access

Ítalo Gomes Gonçalves, Florian Wellmann

7

citations
Filtered Markovian projection: dimensionality reduction in filtering for stochastic reaction networks
2026 Statistics and Computing article Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

Chiheb Ben Hammouda, Sophia Münker, Raul F. Tempone

1

citations
Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens
2022 International Journal on Document Analysis and Recognition (IJDAR) article Computer Science Handwritten Text Recognition Techniques Open access cited by 1 patent

Felix Ott, David Rügamer, Lucas Heublein, Tim Hamann, Jens Barth, Bernd Bischl, +1 more

26

citations
Continuous limits of residual neural networks in case of large input data
2022 Communications in Applied and Industrial Mathematics article Computer Science Neural Networks and Applications Open access

Michaël Herty, Anna Thünen, Torsten Trimborn, Giuseppe Visconti

2

citations
Continuous limits of residual neural networks in case of large input data
2021 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Michael Herty, A. Thuenen, T. Trimborn, G. Visconti

1

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
Numerical simulation of miscible multiphase flow and fluid–fluid interaction in deformable porous media
2023 PAMM article Computer Science Advanced Mathematical Modeling in Engineering Open access

Yousef Heider, Bernd A. Markert

9

citations
Approximation and Generalization Capacities of Parametrized Quantum Circuits for Functions in Sobolev Spaces
2025 Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access

David Dechant, Jordi Tura, Vedran Dunjko

6

citations
Scroll Waves and Filaments in Excitable Media of Higher Spatial Dimension
2023 Physical Review Letters article Computer Science Nonlinear Dynamics and Pattern Formation Open access

Marie Cloet, Louise Arno, Desmond Kabus, Joeri Van der Veken, Alexander V. Panfilov, Hans Dierckx

6

citations
Two-community noisy Kuramoto model with general interaction strengths. II
2021 Chaos An Interdisciplinary Journal of Nonlinear Science article Computer Science Nonlinear Dynamics and Pattern Formation Open access

5

citations
Two-community noisy Kuramoto model with general interaction strengths. I.
2021 PubMed article Computer Science Nonlinear Dynamics and Pattern Formation

Stefan Achterhof, Janusz M Meylahn

4

citations
Two-community noisy Kuramoto model with general interaction strengths. I
2021 Chaos An Interdisciplinary Journal of Nonlinear Science article Computer Science Nonlinear Dynamics and Pattern Formation Open access

Stefan Achterhof, Janusz M Meylahn

3

citations
A comparison study of supervised learning techniques for the approximation of high dimensional functions and feedback control
2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Mathias Oster, Luca Saluzzi, Tizian Wenzel

1

citations