Franck Vermet

According to our database, Franck Vermet authored at least 21 papers between 2006 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

On associative neural networks for sparse patterns with huge capacities.

Matthias Löwe, Franck Vermet

CoRR, March, 2026

DocPolarBERT: A Pre-trained Model for Document Understanding with Relative Polar Coordinate Encoding of Layout Structures.

Benno Uthayasooriyar, Antoine Ly, Franck Vermet, Caio Corro

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing flows and the Feynman-Kac Formula.

Naoufal El Bekri, Lucas Drumetz, Franck Vermet

Trans. Mach. Learn. Res., 2025

Training LayoutLM from Scratch for Efficient Named-Entity Recognition in the Insurance Domain.

Benno Uthayasooriyar, Antoine Ly, Franck Vermet, Caio Corro

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning.

Raphaël Lafargue, Luke Smith, Franck Vermet, Matthias Löwe, Ian Reid, Jack Valmadre, Vincent Gripon

Trans. Mach. Learn. Res., 2024

Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning.

Raphaël Lafargue, Luke Smith, Franck Vermet, Mathias Löwe, Ian D. Reid, Vincent Gripon, Jack Valmadre

CoRR, 2024

Diffusion Posterior Sampling for Synergistic Reconstruction in Spectral Computed Tomography.

Corentin Vazia, Alexandre Bousse, Béatrice Vedel, Franck Vermet, Zhihan Wang, Thore Dassow, Jean-Pierre Tasu, Dimitris Visvikis, Jacques Froment

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Time Changed Normalizing Flows for Accurate SDE Modeling.

Naoufal El Bekri, Lucas Drumetz, Franck Vermet

Proceedings of the IEEE International Conference on Acoustics, 2024

Spectral CT Two-Step and One-Step Material Decomposition Using Diffusion Posterior Sampling.

Corentin Vazia, Alexandre Bousse, Jacques Froment, Béatrice Vedel, Franck Vermet, Zhihan Wang, Thore Dassow, Jean-Pierre Tasu, Dimitris Visvikis

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Measuring and Mitigating Biases in Motor Insurance Pricing.

Mulah Moriah, Franck Vermet, Arthur Charpentier

CoRR, 2023

2022

Model Transparency and Interpretability : Survey and Application to the Insurance Industry.

Dimitri Delcaillau, Antoine Ly, Alizé Papp, Franck Vermet

CoRR, 2022

Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography.

Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis G. Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher Chung

Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2022

2021

Collaborative Insurance Sustainability and Network Structure.

Arthur Charpentier, Lariosse Kouakou, Matthias Löwe, Philipp Ratz, Franck Vermet

CoRR, 2021

Towards an Intrinsic Definition of Robustness for a Classifier.

Théo Giraudon, Vincent Gripon, Matthias Löwe, Franck Vermet

Proceedings of the IEEE International Conference on Acoustics, 2021

Geometry-Preserving Lie Group Integrators for Differential Equations on the Manifold of Symmetric Positive Definite Matrices.

Lucas Drumetz, Alexandre Reiffers-Masson, Naoufal El Bekri, Franck Vermet

Proceedings of the Geometric Science of Information - 6th International Conference, 2021

2020

Some Remarks on Replicated Simulated Annealing.

Vincent Gripon, Matthias Löwe, Franck Vermet

CoRR, 2020

Interpretabilité des modèles : état des lieux des méthodes et application à l'assurance.

Dimitri Delcaillau, Antoine Ly, Franck Vermet, Alizé Papp

CoRR, 2020

2018

Improving Accuracy of Nonparametric Transfer Learning Via Vector Segmentation.

Vincent Gripon, Ghouthi B. Hacene, Matthias Löwe, Franck Vermet

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2016

Associative Memories to Accelerate Approximate Nearest Neighbor Search.

Vincent Gripon, Matthias Löwe, Franck Vermet

CoRR, 2016

2014

Mixing times for the Swapping Algorithm on the Blume-Emery-Griffiths model.

Mirko Ebbers, Holger Knöpfel, Matthias Löwe, Franck Vermet

Random Struct. Algorithms, 2014

2006

The Effect of System Load on the Existence of Bit Errors in CDMA With and Without Parallel Interference Cancelation.

Remco van der Hofstad, Matthias Löwe, Franck Vermet

IEEE Trans. Inf. Theory, 2006