Valentin Duruisseaux

17 papers A* 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enabling Automatic Differentiation with Mollified Graph Neural Operators. CoRR Ryan Y. Lin, Julius Berner, Valentin Duruisseaux, David Pitt, Daniel V. Leibovici, Jean Kossaifi, Kamyar Azizzadenesheli, Anima Anandkumar
2025	J	`jnl`	Enabling Automatic Differentiation with Mollified Graph Neural Operators. Trans. Mach. Learn. Res. Ryan Y. Lin, Julius Berner, Valentin Duruisseaux, David Pitt, Daniel V. Leibovici, Jean Kossaifi, Kamyar Azizzadenesheli, Anima Anandkumar
2025	J	`jnl`	Fourier Neural Operators Explained: A Practical Perspective. CoRR Valentin Duruisseaux, Jean Kossaifi, Anima Anandkumar
2025	J	`jnl`	NOBLE - Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models. CoRR Luca Ghafourpour, Valentin Duruisseaux, Bahareh Tolooshams, Philip H. Wong, Costas A. Anastassiou, Anima Anandkumar
2025	J	`jnl`	Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning. CoRR Julius Berner, Miguel Liu-Schiaffini, Jean Kossaifi, Valentin Duruisseaux, Boris Bonev, Kamyar Azizzadenesheli, Anima Anandkumar
2024	J	`jnl`	Projected Neural Differential Equations for Learning Constrained Dynamics. CoRR Alistair White, Anna Büttner, Maximilian Gelbrecht, Valentin Duruisseaux, Niki Kilbertus, Frank Hellmann, Niklas Boers
2023	J	`jnl`	An Operator Learning Framework for Spatiotemporal Super-resolution of Scientific Simulations. CoRR Valentin Duruisseaux, Amit Chakraborty
2023	—	`conf`	Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems. L4DC Valentin Duruisseaux, Thai Duong, Melvin Leok, Nikolay Atanasov
2023	J	`jnl`	Practical perspectives on symplectic accelerated optimization. Optim. Methods Softw. Valentin Duruisseaux, Melvin Leok
2023	A*	`conf`	Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning. ICML Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt
2023	J	`jnl`	Simplifying Momentum-based Riemannian Submanifold Optimization. CoRR Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt
2022	J	`jnl`	A Variational Formulation of Accelerated Optimization on Riemannian Manifolds. SIAM J. Math. Data Sci. Valentin Duruisseaux, Melvin Leok
2022	J	`jnl`	Accelerated Optimization on Riemannian Manifolds via Discrete Constrained Variational Integrators. J. Nonlinear Sci. Valentin Duruisseaux, Melvin Leok
2022	J	`jnl`	Approximation of nearly-periodic symplectic maps via structure-preserving neural networks. CoRR Valentin Duruisseaux, Joshua W. Burby, Qi Tang
2022	J	`jnl`	Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems. CoRR Valentin Duruisseaux, Thai Duong, Melvin Leok, Nikolay Atanasov
2021	J	`jnl`	Accelerated Optimization on Riemannian Manifolds via Discrete Constrained Variational Integrators. CoRR Valentin Duruisseaux, Melvin Leok
2021	J	`jnl`	Adaptive Hamiltonian Variational Integrators and Applications to Symplectic Accelerated Optimization. SIAM J. Sci. Comput. Valentin Duruisseaux, Jeremy Schmitt, Melvin Leok