Franck Vermet

28 papers Misc 3Journal 19Unranked 6
YearRankTypeTitle / Venue / Authors
2026 — conf
DocPolarBERT: A Pre-trained Model for Document Understanding with Relative Polar Coordinate Encoding of Layout Structures.
EACL (Volume 1: Long Papers)
Benno Uthayasooriyar, Antoine Ly, Franck Vermet, Caio Corro
2026 J jnl
On associative neural networks for sparse patterns with huge capacities.
CoRR
Matthias Löwe, Franck Vermet
2025 J jnl
DocPolarBERT: A Pre-trained Model for Document Understanding with Relative Polar Coordinate Encoding of Layout Structures.
CoRR
Benno Uthayasooriyar, Antoine Ly, Franck Vermet, Caio Corro
2025 J jnl
FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing flows and the Feynman Kac-Formula.
CoRR
Naoufal El Bekri, Lucas Drumetz, Franck Vermet
2025 J jnl
FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing flows and the Feynman-Kac Formula.
Trans. Mach. Learn. Res.
Naoufal El Bekri, Lucas Drumetz, Franck Vermet
2025 — conf
Training LayoutLM from Scratch for Efficient Named-Entity Recognition in the Insurance Domain.
COLING Workshops
Benno Uthayasooriyar, Antoine Ly, Franck Vermet, Caio Corro
2024 — conf
Diffusion Posterior Sampling for Synergistic Reconstruction in Spectral Computed Tomography.
ISBI
Corentin Vazia, Alexandre Bousse, Béatrice Vedel, Franck Vermet, Zhihan Wang, Thore Dassow, Jean-Pierre Tasu, Dimitris Visvikis, Jacques Froment
2024 J jnl
Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning.
CoRR
Raphaël Lafargue, Luke Smith, Franck Vermet, Mathias Löwe, Ian D. Reid, Vincent Gripon, Jack Valmadre
2024 J jnl
Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning.
Trans. Mach. Learn. Res.
Raphaël Lafargue, Luke Smith, Franck Vermet, Matthias Löwe, Ian Reid, Jack Valmadre, Vincent Gripon
2024 — conf
Spectral CT Two-Step and One-Step Material Decomposition Using Diffusion Posterior Sampling.
EUSIPCO
Corentin Vazia, Alexandre Bousse, Jacques Froment, Béatrice Vedel, Franck Vermet, Zhihan Wang, Thore Dassow, Jean-Pierre Tasu, Dimitris Visvikis
2024 Misc conf
Time Changed Normalizing Flows for Accurate SDE Modeling.
ICASSP
Naoufal El Bekri, Lucas Drumetz, Franck Vermet
2024 J jnl
Training LayoutLM from Scratch for Efficient Named-Entity Recognition in the Insurance Domain.
CoRR
Benno Uthayasooriyar, Antoine Ly, Franck Vermet, Caio Corro
2023 J jnl
Measuring and Mitigating Biases in Motor Insurance Pricing.
CoRR
Mulah Moriah, Franck Vermet, Arthur Charpentier
2023 J jnl
Time-changed normalizing flows for accurate SDE modeling.
CoRR
Naoufal El Bekri, Lucas Drumetz, Franck Vermet
2022 — conf
Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography.
EXTRAAMAS@AAMAS
Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis G. Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher Chung
2022 J jnl
Evaluation of importance estimators in deep learning classifiers for Computed Tomography.
CoRR
Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis G. Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher Chung
2022 J jnl
Model Transparency and Interpretability : Survey and Application to the Insurance Industry.
CoRR
Dimitri Delcaillau, Antoine Ly, Alizé Papp, Franck Vermet
2021 J jnl
Collaborative Insurance Sustainability and Network Structure.
CoRR
Arthur Charpentier, Lariosse Kouakou, Matthias Löwe, Philipp Ratz, Franck Vermet
2021 — conf
Geometry-Preserving Lie Group Integrators for Differential Equations on the Manifold of Symmetric Positive Definite Matrices.
GSI (2)
Lucas Drumetz, Alexandre Reiffers-Masson, Naoufal El Bekri, Franck Vermet
2021 Misc conf
Towards an Intrinsic Definition of Robustness for a Classifier.
ICASSP
Théo Giraudon, Vincent Gripon, Matthias Löwe, Franck Vermet
2020 J jnl
Interpretabilité des modèles : état des lieux des méthodes et application à l'assurance.
CoRR
Dimitri Delcaillau, Antoine Ly, Franck Vermet, Alizé Papp
2020 J jnl
Some Remarks on Replicated Simulated Annealing.
CoRR
Vincent Gripon, Matthias Löwe, Franck Vermet
2020 J jnl
Towards an Intrinsic Definition of Robustness for a Classifier.
CoRR
Théo Giraudon, Vincent Gripon, Matthias Löwe, Franck Vermet
2018 Misc conf
Improving Accuracy of Nonparametric Transfer Learning Via Vector Segmentation.
ICASSP
Vincent Gripon, Ghouthi B. Hacene, Matthias Löwe, Franck Vermet
2017 J jnl
Improving Accuracy of Nonparametric Transfer Learning via Vector Segmentation.
CoRR
Vincent Gripon, Ghouthi B. Hacene, Matthias Löwe, Franck Vermet
2016 J jnl
Associative Memories to Accelerate Approximate Nearest Neighbor Search.
CoRR
Vincent Gripon, Matthias Löwe, Franck Vermet
2014 J jnl
Mixing times for the Swapping Algorithm on the Blume-Emery-Griffiths model.
Random Struct. Algorithms
Mirko Ebbers, Holger Knöpfel, Matthias Löwe, Franck Vermet
2006 J jnl
The Effect of System Load on the Existence of Bit Errors in CDMA With and Without Parallel Interference Cancelation.
IEEE Trans. Inf. Theory
Remco van der Hofstad, Matthias Löwe, Franck Vermet