Lemercier, Maud

6 publications

ICML 2023 Neural Signature Kernels as Infinite-Width-Depth-Limits of Controlled ResNets Nicola Muca Cirone, Maud Lemercier, Cristopher Salvi

NeurIPS 2023 Non-Adversarial Training of Neural SDEs with Signature Kernel Scores Zacharia Issa, Blanka Horvath, Maud Lemercier, Cristopher Salvi

NeurIPS 2022 Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics Cristopher Salvi, Maud Lemercier, Andris Gerasimovics

AISTATS 2021 Distribution Regression for Sequential Data Maud Lemercier, Cristopher Salvi, Theodoros Damoulas, Edwin Bonilla, Terry Lyons

NeurIPS 2021 Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes Cristopher Salvi, Maud Lemercier, Chong Liu, Blanka Horvath, Theodoros Damoulas, Terry Lyons

ICML 2021 SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data Maud Lemercier, Cristopher Salvi, Thomas Cass, Edwin V. Bonilla, Theodoros Damoulas, Terry J Lyons