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Maud Lemercier
Maud Lemercier
Verified email at maths.ox.ac.uk
Title
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Cited by
Year
Distribution Regression for Sequential Data
M Lemercier, C Salvi, T Damoulas, E Bonilla, T Lyons
International Conference on Artificial Intelligence and Statistics, 3754-3762, 2021
34*2021
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
C Salvi, M Lemercier, C Liu, B Hovarth, T Damoulas, T Lyons
arXiv preprint arXiv:2109.03582, 2021
252021
Neural stochastic PDEs: Resolution-invariant learning of continuous spatiotemporal dynamics
C Salvi, M Lemercier, A Gerasimovics
arXiv preprint arXiv:2110.10249, 2021
242021
SK-Tree: a systematic malware detection algorithmon streaming trees via the signature kernel
T Cochrane, P Foster, V Chhabra, M Lemercier, C Salvi, T Lyons
arXiv preprint arXiv:2102.07904, 2021
222021
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
M Lemercier, C Salvi, T Cass, EV Bonilla, T Damoulas, T Lyons
arXiv preprint arXiv:2105.04211, 2021
172021
Neural signature kernels as infinite-width-depth-limits of controlled ResNets
NM Cirone, M Lemercier, C Salvi
arXiv preprint arXiv:2303.17671, 2023
142023
Non-adversarial training of Neural SDEs with signature kernel scores
Z Issa, B Horvath, M Lemercier, C Salvi
arXiv preprint arXiv:2305.16274, 2023
82023
Optimal Stopping via Distribution Regression: a Higher Rank Signature Approach
B Horvath, M Lemercier, C Liu, T Lyons, C Salvi
arXiv preprint arXiv:2304.01479, 2023
72023
Novelty Detection on Radio Astronomy Data using Signatures
P Arrubarrena, M Lemercier, B Nikolic, T Lyons, T Cass
arXiv preprint arXiv:2402.14892, 2024
2024
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