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Papers matching “gradient field” 26

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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
Mean-Field Model for Two-Layer Neural Networks Trained with Consensus-Based Optimization
2025 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

William De Deyn, Michaël Herty, Giovanni Samaey

0

citations
An Adaptive Consensus Based Method for Multi-objective Optimization with Uniform Pareto Front Approximation
2023 Applied Mathematics & Optimization article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Giacomo Borghi, Michaël Herty, Lorenzo Pareschi

30

citations
Exploring synchrony and chaos of parahydrogen-pumped two-compartment radio-frequency amplification by stimulated emission of radiation
2023 Physical Review A article Computer Science Nonlinear Dynamics and Pattern Formation Open access

Lars Lohmann, Sören Lehmkuhl, Simon Fleischer, Matthew Scott Rosen, Eduard Y. Chekmenev, Thomas Theis, +2 more

8

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
An adaptive consensus based method for multi-objective optimization with uniform Pareto front approximation
2022 RWTH Publications (RWTH Aachen) article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Giacomo Borghi, Michaël Herty, Lorenzo Pareschi

0

citations
Reinforcement learning
2025 Cambridge University Press eBooks book-chapter Computer Science Reinforcement Learning in Robotics

Borja Requena, Kaelan Donatella, Juan Carrasquilla, Evert van Nieuwenburg, Giuseppe Carleo, Eliška Greplová, +2 more

18

citations
Fast and Robust Consensus-Based Optimization via Optimal Feedback Control
2026 SIAM Journal on Scientific Computing article Computer Science Metaheuristic Optimization Algorithms Research Open access

Yuyang Huang, Michaël Herty, Dante Kalise, Nikolas Kantas

2

citations
Fast and robust consensus-based optimization via optimal feedback control
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Yuyang Huang, Michaël Herty, Dante Kalise, Nikolas Kantas

0

citations
TinyAD: Automatic Differentiation in Geometry Processing Made Simple
2022 Computer Graphics Forum article Computer Science Computer Graphics and Visualization Techniques Open access

Patrick Schmidt, Janis Born, David Bommes, Marcel Campen, Leif P. Kobbelt

21

citations
Constrained Consensus-Based Optimization
2023 SIAM Journal on Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access

Giacomo Borghi, Michaël Herty, Lorenzo Pareschi

32

citations
Binary Interaction Methods for High Dimensional Global Optimization and Machine Learning
2022 Applied Mathematics & Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access

Alessandro Benfenati, Giacomo Borghi, Lorenzo Pareschi

17

citations
Exploring the Phase Diagram of the quantum one-dimensional ANNNI model
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

María Cea, Michele Grossi, E. Rico, Luca Tagliacozzo, Sofia Vallecorsa

1

citations
Constrained consensus-based optimization
2021 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Giacomo Borghi, Michaël Herty, Lorenzo Pareschi

0

citations
Machine Learning Electronic Health Record Identification of Patients with Rheumatoid Arthritis: Algorithm Pipeline Development and Validation Study
2020 JMIR Medical Informatics article Computer Science Machine Learning in Healthcare Open access

Tjardo Daniël Maarseveen, Timo Meinderink, Marcel J. T. Reinders, Johannes Knitza, Tom W. J. Huizinga, Arnd Kleyer, +3 more

56

citations
Reinforcement Learning Approaches for the Optimization of the Partial Oxidation Reaction of Methane
2022 Industrial & Engineering Chemistry Research article Computer Science Reinforcement Learning in Robotics

Marius Neumann, Stefan Palkovits

22

citations
Machine Learning Electronic Health Record Identification of Patients with Rheumatoid Arthritis: Algorithm Pipeline Development and Validation Study (Preprint)
2020 preprint Computer Science Machine Learning in Healthcare Open access

Tjardo Daniël Maarseveen, Timo Meinderink, Marcel J. T. Reinders, Johannes Knitza, Tom W. J. Huizinga, Arnd Kleyer, +3 more

1

citations
Simultaneous PSF Matching via Dual Kernel Optimization
2026 RAS Techniques and Instruments article Computer Science Advanced Image Processing Techniques Open access

Carter Lee Rhea, Pieter Van Dokkum, Roberto G Abraham, Imad Pasha, Steven R. Janssens, William P. Bowman, +3 more

0

citations
Machine Learning as a Novel Method to Support Therapeutic Drug Management and Precision Dosing
2021 Clinical Pharmacology & Therapeutics article Computer Science Machine Learning in Healthcare Open access

Teun van Gelder, Alexander A. T. M. M. Vinks

25

citations
Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning
2022 Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access cited by 1 patent

Andrea Skolik, Sofiène Jerbi, Vedran Dunjko

193

citations
Performance comparison of optimization methods on variational quantum algorithms
2023 Physical Review A article Computer Science Quantum Computing Algorithms and Architecture Open access

Xavier Bonet-Monroig, Hao Wang, Diederick Vermetten, Bruno Senjean, Charles Moussa, Thomas Bäck, +2 more

103

citations
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
Stable and Unstable Spatially-Periodic Canards Created in Singular Subcritical Turing Bifurcations in the Brusselator System
2026 Journal of Nonlinear Science article Computer Science Nonlinear Dynamics and Pattern Formation Open access

Robert Jencks, Arjen Doelman, Tasso J. Kaper, Theodore Vo

4

citations
Performance of Computer Vision Algorithms for Fine‐Grained Classification Using Crowdsourced Insect Images
2025 IET Computer Vision article Computer Science Advanced Neural Network Applications Open access

Rita Pucci, Vincent J. Kalkman, Dan Stowell

3

citations