Duruisseaux, Valentin

6 publications

TMLR 2025 Enabling Automatic Differentiation with Mollified Graph Neural Operators Ryan Y. Lin, Julius Berner, Valentin Duruisseaux, David Pitt, Daniel Leibovici, Jean Kossaifi, Kamyar Azizzadenesheli, Anima Anandkumar

NeurIPS 2025 NOBLE - Neural Operator with Biologically-Informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models Luca Ghafourpour, Valentin Duruisseaux, Bahareh Tolooshams, Philip H. Wong, Costas A. Anastassiou, Anima Anandkumar

ICMLW 2024 Towards Enforcing Hard Physics Constraints in Operator Learning Frameworks Valentin Duruisseaux, Miguel Liu-Schiaffini, Julius Berner, Anima Anandkumar

L4DC 2023 Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems Valentin Duruisseaux, Thai P. Duong, Melvin Leok, Nikolay Atanasov

ICML 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

NeurIPSW 2022 Practical Structured Riemannian Optimization with Momentum by Using Generalized Normal Coordinates Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt