Maud Lemercier

According to our database, Maud Lemercier authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

A High Order Solver for Signature Kernels.

Maud Lemercier, Terry J. Lyons

CoRR, 2024

Novelty Detection on Radio Astronomy Data using Signatures.

Paola Arrubarrena, Maud Lemercier, Bojan Nikolic, Terry J. Lyons, Thomas Cass

CoRR, 2024

2023

Non-adversarial training of Neural SDEs with signature kernel scores.

Zacharia Issa, Blanka Horvath, Maud Lemercier, Cristopher Salvi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural signature kernels as infinite-width-depth-limits of controlled ResNets.

Nicola Muca Cirone, Maud Lemercier, Cristopher Salvi

Proceedings of the International Conference on Machine Learning, 2023

2022

Learning on sequential data with evolution equations.

Maud Lemercier

PhD thesis, 2022

Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics.

Cristopher Salvi, Maud Lemercier, Andris Gerasimovics

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Neural Stochastic Partial Differential Equations.

Cristopher Salvi, Maud Lemercier

CoRR, 2021

Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes.

Cristopher Salvi, Maud Lemercier, Chong Liu, Blanka Horvath, Theodoros Damoulas, Terry J. Lyons

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data.

Maud Lemercier, Cristopher Salvi, Thomas Cass, Edwin V. Bonilla, Theodoros Damoulas, Terry J. Lyons

Proceedings of the 38th International Conference on Machine Learning, 2021

SK-Tree: a systematic malware detection algorithm on streaming trees via the signature kernel.

Thomas Cochrane, Peter Foster, Varun Chhabra, Maud Lemercier, Terry J. Lyons, Cristopher Salvi

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2021

Distribution Regression for Sequential Data.

Maud Lemercier, Cristopher Salvi, Theodoros Damoulas, Edwin V. Bonilla, Terry J. Lyons

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Distribution Regression for Continuous-Time Processes via the Expected Signature.

Maud Lemercier, Cristopher Salvi, Theodoros Damoulas, Edwin V. Bonilla, Terry J. Lyons

CoRR, 2020