Adeline Fermanian

17 papers A* 4Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Latent Guided Sampling for Combinatorial Optimization.
CoRR
Sobihan Surendran, Adeline Fermanian, Sylvain Le Corff
2025 J jnl
Scaling ResNets in the Large-depth Regime.
J. Mach. Learn. Res.
Pierre Marion, Adeline Fermanian, Gérard Biau, Jean-Philippe Vert
2024 A* conf
Dynamic Survival Analysis with Controlled Latent States.
ICML
Linus Bleistein, Van-Tuan Nguyen, Adeline Fermanian, Agathe Guilloux
2024 J jnl
Dynamical Survival Analysis with Controlled Latent States.
CoRR
Linus Bleistein, Van-Tuan Nguyen, Adeline Fermanian, Agathe Guilloux
2024 J jnl
Multivariate Online Linear Regression for Hierarchical Forecasting.
CoRR
Massil Hihat, Guillaume Garrigos, Adeline Fermanian, Simon Bussy
2024 A* conf
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation.
NeurIPS
Sobihan Surendran, Adeline Fermanian, Antoine Godichon-Baggioni, Sylvain Le Corff
2024 J jnl
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation.
CoRR
Sobihan Surendran, Antoine Godichon-Baggioni, Adeline Fermanian, Sylvain Le Corff
2023 A* conf
Learning the Dynamics of Sparsely Observed Interacting Systems.
ICML
Linus Bleistein, Adeline Fermanian, Anne-Sophie Jannot, Agathe Guilloux
2023 J jnl
Learning the Dynamics of Sparsely Observed Interacting Systems.
CoRR
Linus Bleistein, Adeline Fermanian, Anne-Sophie Jannot, Agathe Guilloux
2023 J jnl
New directions in the applications of rough path theory.
CoRR
Adeline Fermanian, Terry J. Lyons, James Morrill, Cristopher Salvi
2022 J jnl
Functional linear regression with truncated signatures.
J. Multivar. Anal.
Adeline Fermanian
2022 J jnl
Scaling ResNets in the Large-depth Regime.
CoRR
Pierre Marion, Adeline Fermanian, Gérard Biau, Jean-Philippe Vert
2021 J jnl
Embedding and learning with signatures.
Comput. Stat. Data Anal.
Adeline Fermanian
2021 A* conf
Framing RNN as a kernel method: A neural ODE approach.
NeurIPS
Adeline Fermanian, Pierre Marion, Jean-Philippe Vert, Gérard Biau
2021 J jnl
Framing RNN as a kernel method: A neural ODE approach.
CoRR
Adeline Fermanian, Pierre Marion, Jean-Philippe Vert, Gérard Biau
2020 J jnl
A Generalised Signature Method for Time Series.
CoRR
James Morrill, Adeline Fermanian, Patrick Kidger, Terry J. Lyons
2019 J jnl
Embedding and learning with signatures.
CoRR
Adeline Fermanian