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Publication search results
found 22 matches
- 2023
- Nicola Muca Cirone, Maud Lemercier, Cristopher Salvi:
Neural signature kernels as infinite-width-depth-limits of controlled ResNets. ICML 2023: 25358-25425 - Adeline Fermanian, Terry J. Lyons, James Morrill, Cristopher Salvi:
New directions in the applications of rough path theory. CoRR abs/2302.04586 (2023) - Nicola Muca Cirone, Maud Lemercier, Cristopher Salvi:
Neural signature kernels as infinite-width-depth-limits of controlled ResNets. CoRR abs/2303.17671 (2023) - Zacharia Issa, Blanka Horvath, Maud Lemercier, Cristopher Salvi:
Non-adversarial training of Neural SDEs with signature kernel scores. CoRR abs/2305.16274 (2023) - Melker Hoglund, Emilio Ferrucci, Camilo Hernández, Aitor Muguruza Gonzalez, Cristopher Salvi, Leandro Sánchez-Betancourt, Yufei Zhang:
A Neural RDE approach for continuous-time non-Markovian stochastic control problems. CoRR abs/2306.14258 (2023) - 2022
- Cristopher Salvi, Maud Lemercier, Andris Gerasimovics:
Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics. NeurIPS 2022 - 2021
- Cristopher Salvi, Thomas Cass, James Foster
, Terry J. Lyons, Weixin Yang:
The Signature Kernel Is the Solution of a Goursat PDE. SIAM J. Math. Data Sci. 3(3): 873-899 (2021) - Maud Lemercier, Cristopher Salvi, Theodoros Damoulas, Edwin V. Bonilla, Terry J. Lyons:
Distribution Regression for Sequential Data. AISTATS 2021: 3754-3762 - 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 - 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 - James Morrill, Cristopher Salvi, Patrick Kidger, James Foster:
Neural Rough Differential Equations for Long Time Series. ICML 2021: 7829-7838 - 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 - 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) - 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) - 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) - Cristopher Salvi, Maud Lemercier:
Neural Stochastic Partial Differential Equations. CoRR abs/2110.10249 (2021) - 2020
- Imanol Pérez Arribas, Cristopher Salvi, Lukasz Szpruch:
Sig-SDEs model for quantitative finance. ICAIF 2020: 7:1-7:8 - 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) - Thomas Cass, Terry J. Lyons, Cristopher Salvi, Weixin Yang:
Computing the full signature kernel as the solution of a Goursat problem. CoRR abs/2006.14794 (2020) - James Morrill, Patrick Kidger, Cristopher Salvi, James Foster, Terry J. Lyons:
Neural CDEs for Long Time Series via the Log-ODE Method. CoRR abs/2009.08295 (2020) - 2019
- Patrick Kidger, Patric Bonnier, Imanol Pérez Arribas, Cristopher Salvi, Terry J. Lyons:
Deep Signature Transforms. NeurIPS 2019: 3099-3109 - Patric Bonnier, Patrick Kidger, Imanol Pérez Arribas, Cristopher Salvi, Terry J. Lyons:
Deep Signatures. CoRR abs/1905.08494 (2019)
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retrieved on 2023-12-06 17:53 CET from data curated by the dblp team
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