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Papers matching “linear convergence” 38

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

Dhiraj Patel, Anton Savostianov, Michael T. Schaub

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
A Linear Scaling in Accuracy Numerical Method for Computing the Electrostatic Forces in the $N$-Body Dielectric Spheres Problem
2020 arXiv (Cornell University) preprint Physics and Astronomy Electromagnetic Scattering and Analysis Open access

Muhammad Hassan, Benjamin Stamm

0

citations
The loss landscape of deep linear neural networks: a second-order analysis
2021 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

El Mehdi Achour, François Malgouyres, Sébastien Gerchinovitz

1

citations
Convergence of the non-staggered Nessyahu-Tadmor scheme for coupled systems of one-dimensional nonlocal balance laws
2025 arXiv (Cornell University) preprint Engineering Computational Fluid Dynamics and Aerodynamics Open access

Sanjibanee Sudha, Jan O. Friedrich, Samala Rathan

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
Stable and asymptotic preserving space-time discretizations of a linear kinetic transport equation in diffusive scaling
2026 arXiv (Cornell University) preprint Mathematics Gas Dynamics and Kinetic Theory Open access

Anita Gjesteland, Sigrun Ortleb, Salim Elghawi, David C. Del Rey Fernández

0

citations
A Newton method for solving locally definite multiparameter eigenvalue problems by multiindex
2024 arXiv (Cornell University) preprint Computer Science Matrix Theory and Algorithms Open access

Henrik Eisenmann

0

citations
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank
2020 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut

2

citations
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias Towards Low Rank
2022 SSRN Electronic Journal preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut

5

citations
A parameter-dependent smoother for the multigrid method
2020 arXiv (Cornell University) preprint Engineering Advanced Numerical Methods in Computational Mathematics Open access

Lars Grasedyck, Maren Klever, Christian Löbbert, Tim A. Werthmann

0

citations
Model predictive control strategies using consensus-based optimization
2023 RWTH Publications (RWTH Aachen) preprint Engineering Advanced Control Systems Optimization Open access

Giacomo Borghi, Michaël Herty

1

citations
Time-Continuous and Time-Discontinuous Space-Time Finite Elements for Advection-Diffusion Problems
2022 arXiv (Cornell University) preprint Engineering Advanced Numerical Methods in Computational Mathematics Open access

Max von Danwitz, Igor Voulis, Norbert Hosters, Marek Behr

1

citations
Riemannian gradient descent-based quantum algorithms for ground state preparation with guarantees
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Mahum Pervez, Ariq Haqq, Nathan A. McMahon, Christian Arenz

0

citations
Sampling via Stochastic Interpolants by Langevin-based Velocity and Initialization Estimation in Flow ODEs
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Chenguang Duan, Yuling Jiao, Gabriele Steidl, Christian Wald, Jerry Zhijian Yang, Ruizhe Zhang

0

citations
A Functional Central Limit Theorem for Localized Partial Sums of Non-Stationary Time Series
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Florian Heinrichs

0

citations
Quantum Memory Matrix Framework Applied to Cosmological Structure Formation and Dark Matter Phenomenology
2025 Preprints.org preprint Physics and Astronomy Cosmology and Gravitation Theories Open access

Florian Neukart, V. M. Vinokur

3

citations
Spectrally accurate fully discrete schemes for some nonlocal and nonlinear integrable PDEs via explicit formulas
2024 arXiv (Cornell University) preprint Mathematics Numerical methods for differential equations Open access

Yvonne Alama Bronsard, Xi Chen, Matthieu Dolbeault

1

citations
A Functional Central Limit Theorem for Locally Stationary Time Series in Banach Spaces
2026 arXiv (Cornell University) preprint Mathematics Advanced Statistical Methods and Models Open access

Florian Heinrichs, Luis-Alberto Rodríguez

0

citations
A Note on Nussbaum-type Control and Lie-bracket Approximation
2021 arXiv (Cornell University) preprint Engineering Adaptive Control of Nonlinear Systems Open access

Marc Weber, Christian Ebenbauer, Bahman Gharesifard

0

citations
Low-rank tensor methods for Markov chains with applications to tumor progression models
2020 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Maren Klever, Rudolf Schill, Rainer Spang, Tilo Wettig

0

citations
Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Francesco Innocenti, El Mehdi Achour, Ryan R. Singh, Christopher L. Buckley

0

citations
Graph Neural Networks Do Not Always Oversmooth
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Bastian Epping, Alexandre René, Moritz Helias, Michael T. Schaub

3

citations
Conserved moiety fluxomics
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Microbial Metabolic Engineering and Bioproduction Open access

Ronan M. T. Fleming, Hulda S. Haraldsdóttir, German Preciat, Luojiao Huang, Ines Thiele, Amy C. Harms, +1 more

3

citations
Medical foundation models converge less under label supervision
2026 arXiv (Cornell University) preprint Medicine Artificial Intelligence in Healthcare and Education Open access

Soroosh Tayebi Arasteh, Sebastian Ziegelmayer, Mahshad Lotfinia, Lisa C. Adams, Sven Nebelung, Jakob Nikolas Kather, +1 more

0

citations