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Books and Theses
- 2022
[b1]Maud Lemercier:
Learning on sequential data with evolution equations. University of Warwick, Coventry, UK, 2022
Conference and Workshop Papers
- 2023
- [c7]Nicola Muca Cirone, Maud Lemercier, Cristopher Salvi:
Neural signature kernels as infinite-width-depth-limits of controlled ResNets. ICML 2023: 25358-25425 - [c6]Zacharia Issa, Blanka Horvath, Maud Lemercier, Cristopher Salvi:
Non-adversarial training of Neural SDEs with signature kernel scores. NeurIPS 2023 - 2022
- [c5]Cristopher Salvi, Maud Lemercier, Andris Gerasimovics:
Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics. NeurIPS 2022 - 2021
- [c4]Maud Lemercier, Cristopher Salvi, Theodoros Damoulas, Edwin V. Bonilla, Terry J. Lyons:
Distribution Regression for Sequential Data. AISTATS 2021: 3754-3762 - [c3]Thomas Cochrane, Peter Foster, Varun Chhabra, Maud Lemercier, Terry J. Lyons, Cristopher Salvi:
SK-Tree: a systematic malware detection algorithm on streaming trees via the signature kernel. CSR 2021: 35-40 - [c2]Maud Lemercier, Cristopher Salvi, Thomas Cass, Edwin V. Bonilla, Theodoros Damoulas, Terry J. Lyons:
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data. ICML 2021: 6233-6242 - [c1]Cristopher Salvi, Maud Lemercier, Chong Liu, Blanka Horvath, Theodoros Damoulas, Terry J. Lyons:
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes. NeurIPS 2021: 16635-16647
Informal and Other Publications
- 2024
- [i9]Paola Arrubarrena, Maud Lemercier, Bojan Nikolic, Terry J. Lyons, Thomas Cass:
Novelty Detection on Radio Astronomy Data using Signatures. CoRR abs/2402.14892 (2024) - [i8]Maud Lemercier, Terry J. Lyons:
A High Order Solver for Signature Kernels. CoRR abs/2404.02926 (2024) - 2023
- [i7]Nicola Muca Cirone, Maud Lemercier, Cristopher Salvi:
Neural signature kernels as infinite-width-depth-limits of controlled ResNets. CoRR abs/2303.17671 (2023) - [i6]Zacharia Issa, Blanka Horvath, Maud Lemercier, Cristopher Salvi:
Non-adversarial training of Neural SDEs with signature kernel scores. CoRR abs/2305.16274 (2023) - 2021
- [i5]Thomas Cochrane, Peter Foster, Varun Chhabra, Maud Lemercier, Cristopher Salvi, Terry J. Lyons:
SK-Tree: a systematic malware detection algorithm on streaming trees via the signature kernel. CoRR abs/2102.07904 (2021) - [i4]Maud Lemercier, Cristopher Salvi, Thomas Cass, Edwin V. Bonilla, Theodoros Damoulas, Terry J. Lyons:
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data. CoRR abs/2105.04211 (2021) - [i3]Cristopher Salvi, Maud Lemercier, Chong Liu, Blanka Horvath, Theodoros Damoulas, Terry J. Lyons:
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes. CoRR abs/2109.03582 (2021) - [i2]Cristopher Salvi, Maud Lemercier:
Neural Stochastic Partial Differential Equations. CoRR abs/2110.10249 (2021) - 2020
- [i1]Maud Lemercier, Cristopher Salvi, Theodoros Damoulas, Edwin V. Bonilla, Terry J. Lyons:
Distribution Regression for Continuous-Time Processes via the Expected Signature. CoRR abs/2006.05805 (2020)
Coauthor Index
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