Research
Published articles
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Dynamical Survival Analysis with Controlled Latent States. Bleistein, L., Nguyen, V. T., Fermanian, A., Guilloux, A. (2024)
in Proceedings of the 41st International Conference on Machine Learning
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Learning the Dynamics of Sparsely Observed Interacting Systems. Bleistein, L., Fermanian, A., Jannot, A.S., Guilloux, A. (2023) in Proceedings of the 40th International Conference on Machine Learning
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New Directions in the Applications of Rough Path Theory. Fermanian, A., Lyons, T., Morrill, J., Salvi, C. (2023)
in IEEE BITS the Information Theory Magazine
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Functional linear regression with truncated signatures. Fermanian, A. (2022)
Journal of Multivariate Analysis, Vol. 192, 105031
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Framing RNN as a kernel method: A neural ODE approach. Fermanian, A., Marion, P., Vert, J.P., Biau, G. (2021)
in Advances in Neural Information Processing Systems, ed. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P.S. and Wortman Vaughan, J., Vol. 34, pp. 3121-3134, Curran Associates, Inc. (oral presentation)
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Embedding and learning with signatures. Fermanian, A. (2021)
Computational Statistics & Data Analysis, Vol. 157, 107148
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Preprints
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Multivariate Online Linear Regression for Hierarchical Forecasting. Hihat, M., Garrigos, G., Fermanian, A., Bussy, S. (2024)
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Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation. Surendran, S., Godichon-Baggioni, A., Fermanian, A., Le Corff, S. (2024)
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FLASH: a Fast joint model for Longitudinal And Survival data in High dimension. Nguyen, V. T., Fermanian, A., Guilloux, A., Barbieri, A., Zohar, S., Jannot, A.-S., Bussy, S. (2023)
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The insertion method to invert the signature of a path. Fermanian, A., Chang, J., Lyons, T., Biau, G. (2023)
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Scaling ResNets in the Large-depth Regime. Marion, P., Fermanian, A., Biau, G., Vert, J.P. (2022)
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A Generalised Signature Method for Multivariate Time Series Feature Extraction. Morrill, J., Fermanian, A., Kidger, P., Lyons, T. (2020)
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PhD dissertation
I have defended my PhD thesis in October 2021, you can find my dissertation, entitled Learning time-dependent data with the signature transform here.
Conference proceedings and miscellaneous
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Rough paths and SPDE. Bailleul, I., Bellingeri, C., Bruned, Y., Fermanian, A., Marie, N. (2023) in ESAIM: Proceedings and surveys, Vol. 74, pp. 169-184 article
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Learning with signatures. Biau, G. and Fermanian, A. (2020)
in Functional and High-Dimensional Statistics and Related Fields, pp. 19-26, Springer, Cham.
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Master thesis.(2018)
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