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Adeline Fermanian

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Journal Articles

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2022
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Adeline Fermanian:
Functional linear regression with truncated signatures. J. Multivar. Anal. 192: 105031 (2022)
2021
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Adeline Fermanian:
Embedding and learning with signatures. Comput. Stat. Data Anal. 157: 107148 (2021)

Conference and Workshop Papers

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2021
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Adeline Fermanian, Pierre Marion, Jean-Philippe Vert, Gérard Biau:
Framing RNN as a kernel method: A neural ODE approach. NeurIPS 2021: 3121-3134

Informal and Other Publications

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2023
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  - journals/corr/abs-2301-11647
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Linus Bleistein, Adeline Fermanian, Anne-Sophie Jannot, Agathe Guilloux:
Learning the Dynamics of Sparsely Observed Interacting Systems. CoRR abs/2301.11647 (2023)
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Adeline Fermanian, Terry J. Lyons, James Morrill, Cristopher Salvi:
New directions in the applications of rough path theory. CoRR abs/2302.04586 (2023)
2022
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  - journals/corr/abs-2206-06929
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Pierre Marion, Adeline Fermanian, Gérard Biau, Jean-Philippe Vert:
Scaling ResNets in the Large-depth Regime. CoRR abs/2206.06929 (2022)
2021
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  - journals/corr/abs-2106-01202
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Adeline Fermanian, Pierre Marion, Jean-Philippe Vert, Gérard Biau:
Framing RNN as a kernel method: A neural ODE approach. CoRR abs/2106.01202 (2021)
2020
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  - journals/corr/abs-2006-00873
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James Morrill, Adeline Fermanian, Patrick Kidger, Terry J. Lyons:
A Generalised Signature Method for Time Series. CoRR abs/2006.00873 (2020)
2019
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Adeline Fermanian:
Embedding and learning with signatures. CoRR abs/1911.13211 (2019)

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