Valentin Duruisseaux

According to our database, Valentin Duruisseaux authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Projected Neural Differential Equations for Learning Constrained Dynamics.

Alistair White, Anna Büttner, Maximilian Gelbrecht, Valentin Duruisseaux, Niki Kilbertus, Frank Hellmann, Niklas Boers

CoRR, 2024

2023

Practical perspectives on symplectic accelerated optimization.

Valentin Duruisseaux, Melvin Leok

Optim. Methods Softw., November, 2023

An Operator Learning Framework for Spatiotemporal Super-resolution of Scientific Simulations.

Valentin Duruisseaux, Amit Chakraborty

CoRR, 2023

Simplifying Momentum-based Riemannian Submanifold Optimization.

Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt

CoRR, 2023

Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems.

Valentin Duruisseaux, Thai Duong, Melvin Leok, Nikolay Atanasov

Proceedings of the Learning for Dynamics and Control Conference, 2023

Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning.

Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt

Proceedings of the International Conference on Machine Learning, 2023

2022

A Variational Formulation of Accelerated Optimization on Riemannian Manifolds.

Valentin Duruisseaux, Melvin Leok

SIAM J. Math. Data Sci., 2022

Accelerated Optimization on Riemannian Manifolds via Discrete Constrained Variational Integrators.

Valentin Duruisseaux, Melvin Leok

J. Nonlinear Sci., 2022

Approximation of nearly-periodic symplectic maps via structure-preserving neural networks.

Valentin Duruisseaux, Joshua W. Burby, Qi Tang

CoRR, 2022

2021

Adaptive Hamiltonian Variational Integrators and Applications to Symplectic Accelerated Optimization.

Valentin Duruisseaux, Jeremy Schmitt, Melvin Leok

SIAM J. Sci. Comput., 2021