Luc Motte

According to our database, Luc Motte authored at least 8 papers between 2019 and 2025.

Collaborative distances:

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

2025

Safely Learning Controlled Stochastic Dynamics.

Luc Brogat-Motte, Alessandro Rudi, Riccardo Bonalli

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Learning Controlled Stochastic Differential Equations.

Luc Brogat-Motte, Riccardo Bonalli, Alessandro Rudi

CoRR, 2024

Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels.

Tamim El Ahmad, Luc Brogat-Motte, Pierre Laforgue, Florence d'Alché-Buc

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022

Vector-Valued Least-Squares Regression under Output Regularity Assumptions.

Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc

J. Mach. Learn. Res., 2022

Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters.

Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc

Proceedings of the International Conference on Machine Learning, 2022

2020

Learning Output Embeddings in Structured Prediction.

Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc

CoRR, 2020

Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses.

Pierre Laforgue, Alex Lambert, Luc Brogat-Motte, Florence d'Alché-Buc

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

On the Dualization of Operator-Valued Kernel Machines.

Pierre Laforgue, Alex Lambert, Luc Motte, Florence d'Alché-Buc

CoRR, 2019