Adeline Fermanian

According to our database, Adeline Fermanian authored at least 13 papers between 2020 and 2026.

Collaborative distances:

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

2026

Statistical knockoffs improve biomarker discovery from transcriptomic data.

Julie Cartier, Johanna Lagoas, Youmna Ayadi, Adeline Fermanian, Chloé-Agathe Azencott, Florian Massip

Briefings Bioinform., 2026

2025

Latent Guided Sampling for Combinatorial Optimization.

Sobihan Surendran, Adeline Fermanian, Sylvain Le Corff

CoRR, June, 2025

Scaling ResNets in the Large-depth Regime.

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

J. Mach. Learn. Res., 2025

2024

Multivariate Online Linear Regression for Hierarchical Forecasting.

Massil Hihat, Guillaume Garrigos, Adeline Fermanian, Simon Bussy

CoRR, 2024

Dynamical Survival Analysis with Controlled Latent States.

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

CoRR, 2024

Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation.

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

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