Adeline Fermanian

According to our database, Adeline Fermanian authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multivariate Online Linear Regression for Hierarchical Forecasting.

Massil Hihat, Guillaume Garrigos, Adeline Fermanian, Simon Bussy

CoRR, 2024

Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation.

Sobihan Surendran, Antoine Godichon-Baggioni, Adeline Fermanian, Sylvain Le Corff

CoRR, 2024

Dynamical Survival Analysis with Controlled Latent States.

Linus Bleistein, Van-Tuan Nguyen, Adeline Fermanian, Agathe Guilloux

CoRR, 2024

Dynamic Survival Analysis with Controlled Latent States.

Linus Bleistein, Van-Tuan Nguyen, Adeline Fermanian, Agathe Guilloux

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

New directions in the applications of rough path theory.

Adeline Fermanian, Terry J. Lyons, James Morrill, Cristopher Salvi

CoRR, 2023

Learning the Dynamics of Sparsely Observed Interacting Systems.

Linus Bleistein, Adeline Fermanian, Anne-Sophie Jannot, Agathe Guilloux

Proceedings of the International Conference on Machine Learning, 2023

2022

Functional linear regression with truncated signatures.

Adeline Fermanian

J. Multivar. Anal., 2022

Scaling ResNets in the Large-depth Regime.

Pierre Marion, Adeline Fermanian, Gérard Biau, Jean-Philippe Vert

CoRR, 2022

2021

Embedding and learning with signatures.

Adeline Fermanian

Comput. Stat. Data Anal., 2021

Framing RNN as a kernel method: A neural ODE approach.

Adeline Fermanian, Pierre Marion, Jean-Philippe Vert, Gérard Biau

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

A Generalised Signature Method for Time Series.

James Morrill, Adeline Fermanian, Patrick Kidger, Terry J. Lyons

CoRR, 2020