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Luc Brogat-Motte

Learning Controlled Stochastic Differential Equations
2024 · Brogat-Motte, Luc, Bonalli, Riccardo, et al. · arXiv (Cornell University) · 5
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Vector-Valued Least-Squares Regression under Output Regularity Assumptions
2022 · Brogat-Motte, Luc, Rudi, Alessandro, et al. · arXiv (Cornell University) · 5
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Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
2022 · Brogat-Motte, Luc, Flamary, Rémi, et al. · arXiv (Cornell University) · 4
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Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels
2023 · Ahmad, Tamim El, Brogat-Motte, Luc, et al. · arXiv (Cornell University) · 3
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Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses
2020 · Laforgue, Pierre, Lambert, Alex, et al. · HAL · 3
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses
2019 · Laforgue, Pierre, Lambert, Alex, et al. · arXiv (Cornell University) · 3
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Fast Learning Rates for Physics-Informed Kernel Methods
2026 · Brogat-Motte, Luc, Bona-Pellissier, Joachim, et al. · arXiv (Cornell University) · 1
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Learning Output Embeddings in Structured Prediction
2020 · Brogat-Motte, Luc, Rudi, Alessandro, et al. · arXiv (Cornell University) · 1
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On the Dualization of Operator-Valued Kernel Machines.
2019 · Pierre Laforgue, Alex Lambert, et al. · 1
Markov Chain Convergence in Kernel-Induced Geometry
2026 · Kachaiev, Oleksii, Brogat-Motte, Luc, et al. · arXiv (Cornell University)
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Safely Learning Controlled Stochastic Dynamics
2025 · Luc Brogat-Motte, Alessandro Rudi, et al. · neural information processing systems
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Works count: 11
Citation count: 26
H-index: 3
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