Neural stochastic PDEs: Resolution-invariant learning of continuous spatiotemporal dynamics C Salvi, M Lemercier, A Gerasimovics arXiv preprint arXiv:2110.10249, 2021 | 37* | 2021 |
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 | 37* | 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 | 27 | 2021 |
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 | 25 | 2021 |
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 | 19 | 2021 |
Neural signature kernels as infinite-width-depth-limits of controlled ResNets NM Cirone, M Lemercier, C Salvi arXiv preprint arXiv:2303.17671, 2023 | 14 | 2023 |
Non-adversarial training of Neural SDEs with signature kernel scores Z Issa, B Horvath, M Lemercier, C Salvi arXiv preprint arXiv:2305.16274, 2023 | 10 | 2023 |
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 | 8 | 2023 |
A High Order Solver for Signature Kernels M Lemercier, T Lyons arXiv preprint arXiv:2404.02926, 2024 | 1 | 2024 |
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 |