Machine Learning · Computer Science
Meta-Solver for Neural Ordinary Differential Equations
Julia Gusak, Alexandr Katrutsa, Talgat Daulbaev, Andrzej Cichocki +1
2021-03-16
Optimization and Control · Mathematics
Direct Runge-Kutta Discretization Achieves Acceleration
Jingzhao Zhang, Aryan Mokhtari, Suvrit Sra, Ali Jadbabaie
2018-11-29
Machine Learning · Computer Science
Learning by solving differential equations
Benoit Dherin, Michael Munn, Hanna Mazzawi, Michael Wunder +2
2025-05-20
Numerical Analysis · Mathematics
Local Linearization-Runge Kutta Methods: a class of A-stable explicit integrators for dynamical systems
H. de la Cruz, R. J. Biscay, J. C. Jimenez, F. Carbonell
2012-08-24
Numerical Analysis · Mathematics
Personalized Algorithm Generation: A Case Study in Learning ODE Integrators
Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic +3
2022-07-12
Machine Learning · Computer Science
ResNet After All? Neural ODEs and Their Numerical Solution
Katharina Ott, Prateek Katiyar, Philipp Hennig, Michael Tiemann
2023-09-12
Dynamical Systems · Mathematics
Efficient time stepping for numerical integration using reinforcement learning
Michael Dellnitz, Eyke Hüllermeier, Marvin Lücke, Sina Ober-Blöbaum +3
2023-04-27
Optimization and Control · Mathematics
Accelerated optimization algorithms and ordinary differential equations: the convex non Euclidean case
Paul Dobson, Jesus María Sanz-Serna, Konstantinos C. Zygalakis
2026-03-30
Machine Learning · Computer Science
End-to-End Constrained Optimization Learning: A Survey
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder
2021-03-31
Numerical Analysis · Mathematics
Mixed-Precision in adaptive Runge-Kutta method for large ODE systems
Mouhamad Al-Sayed, Samuel Bernard, Arsène Marzorati, Jonathan Rouzaud-Cornabas
2026-05-25
Computational Physics · Physics
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
Kiwon Um, Robert Brand, Yun, Fei +2
2021-01-06
Machine Learning · Computer Science
Learning ODEs via Diffeomorphisms for Fast and Robust Integration
Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla +1
2021-07-06
Numerical Analysis · Mathematics
Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations
Utkarsh, Chris Elrod, Yingbo Ma, Christopher Rackauckas
2022-09-13
Numerical Analysis · Mathematics
An exploratory study on machine learning to couple numerical solutions of partial differential equations
H. S. Tang, L. Li, M. Grossberg, Y. J. Liu +3
2021-03-17
Optimization and Control · Mathematics
A Unified Model for High-Resolution ODEs: New Insights on Accelerated Methods
Hoomaan Maskan, Konstantinos C. Zygalakis, Armin Eftekhari, Alp Yurtsever
2025-03-20
Optimization and Control · Mathematics
Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization
Peiyuan Zhang, Antonio Orvieto, Hadi Daneshmand, Thomas Hofmann +1
2021-02-24
Machine Learning · Computer Science
Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence
Matin Ansaripour, Shayan Talaei, Giorgi Nadiradze, Dan Alistarh
2025-11-03