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Papers matching “exponential convergence rate” 18

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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
Optimal rates of convergence for entropy regularization in discounted Markov decision processes
2026 Information and Inference A Journal of the IMA article Computer Science Reinforcement Learning in Robotics Open access

Semih Çaycı

0

citations
Stochastic Gradient Descent with Momentum: Analysis and Synthesis via Integral Quadratic Constraints
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Dennis Gramlich, Carsten W. Scherer, Christian Ebenbauer

0

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
A Poisson Jump-driven SDE Approach to Distributed Gradient Descent with Sparse Communication
2025 arXiv (Cornell University) preprint Computer Science Distributed Control Multi-Agent Systems Open access

John Paul Strachan, Christian Ebenbauer

0

citations
Covariance Matrix Adaptation Evolution Strategy Assisted by Principal Component Analysis
2021 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Yangjie Mei, Hao Wang

0

citations
Asymptotic Log-Det Sum-of-Ranks Minimization via Tensor (Alternating) Iteratively Reweighted Least Squares
2021 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Sebastian Krämer

1

citations
The long-term strength and creep behavior of fully saturated shaly Opalinus Clay
2025 Engineering Geology article Engineering Rock Mechanics and Modeling Open access

Lina Gotzen, Lisa Winhausen, Mohammadreza Jalali, Kavan Khaledi, Florian Amann

13

citations
Computing tensor operator exponentials within low‐rank tensor formats with application to the parameter‐dependent multigrid method
2023 PAMM article Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Tim A. Werthmann

0

citations
The influence of adversarial training on turbulence closure modeling
2022 AIAA SciTech Forum conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access

Ludovico Nista, Christoph Schumann, Gandolfo Scialabba, Temistocle Grenga, Antonio Attili, Heinz G. Pitsch

6

citations
Commentary: Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch
2024 Frontiers in Neuroinformatics editorial Neuroscience Neural dynamics and brain function Open access

Hans Ekkehard Pleßer

2

citations
Low-rank tensor methods for Markov chains with applications to tumor progression models
2022 Journal of Mathematical Biology article Mathematics Tensor decomposition and applications Open access

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

10

citations
Reliable Simulation of Quantum Channels: The Error Exponent
2024 IEEE Transactions on Information Theory article Computer Science Quantum Information and Cryptography Open access

Ke Li, Yongsheng Yao

8

citations
Optimal relaxation of bump-like solutions of the one-dimensional Cahn–Hilliard equation
2021 Communications in Partial Differential Equations article Materials Science Solidification and crystal growth phenomena Open access

Sarah Biesenbach, Richard Schubert, Maria G. Westdickenberg

5

citations
Single- and Multilevel Quadrature with Error Control for Fourier Pricing under the Rough Heston Model
2026 arXiv (Cornell University) preprint Economics, Econometrics and Finance Stochastic processes and financial applications Open access

Chiheb Ben Hammouda, Abderrahmene Ben Romdhane, Michael Samet, Raul F. Tempone

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
A Bayesian nonparametric approach to log-concave density estimation
2020 Bernoulli article Computer Science Bayesian Methods and Mixture Models Open access

Ester Mariucci, Botond Szabó

8

citations
Generalized Nonlinear Imaginary-Time Evolution
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Chenyu Shi, Hao Wang, Jin-Fu Chen

0

citations

18 results