Franck Vermet

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 15

Top Topics

Symmetric Positive Definite

Approximate Nearest Neighbor Search

Computed Tomography

Top Venues

EXTRAAMAS@AAMAS

Publications

Naoufal El Bekri, Lucas Drumetz, Franck Vermet
Time Changed Normalizing Flows for Accurate SDE Modeling. ICASSP (2024)
Mulah Moriah, Franck Vermet, Arthur Charpentier
Measuring and Mitigating Biases in Motor Insurance Pricing. CoRR (2023)
Naoufal El Bekri, Lucas Drumetz, Franck Vermet
Time-changed normalizing flows for accurate SDE modeling. CoRR (2023)
Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis G. Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher Chung
Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography. EXTRAAMAS@AAMAS (2022)
Dimitri Delcaillau, Antoine Ly, Alizé Papp, Franck Vermet
Model Transparency and Interpretability : Survey and Application to the Insurance Industry. CoRR (2022)
Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis G. Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher Chung
Evaluation of importance estimators in deep learning classifiers for Computed Tomography. CoRR (2022)
Arthur Charpentier, Lariosse Kouakou, Matthias Löwe, Philipp Ratz, Franck Vermet
Collaborative Insurance Sustainability and Network Structure. CoRR (2021)
Théo Giraudon, Vincent Gripon, Matthias Löwe, Franck Vermet
Towards an Intrinsic Definition of Robustness for a Classifier. ICASSP (2021)
Lucas Drumetz, Alexandre Reiffers-Masson, Naoufal El Bekri, Franck Vermet
Geometry-Preserving Lie Group Integrators for Differential Equations on the Manifold of Symmetric Positive Definite Matrices. GSI (2) (2021)
Théo Giraudon, Vincent Gripon, Matthias Löwe, Franck Vermet
Towards an Intrinsic Definition of Robustness for a Classifier. CoRR (2020)
Dimitri Delcaillau, Antoine Ly, Franck Vermet, Alizé Papp
Interpretabilité des modèles : état des lieux des méthodes et application à l'assurance. CoRR (2020)
Vincent Gripon, Matthias Löwe, Franck Vermet
Some Remarks on Replicated Simulated Annealing. CoRR (2020)
Vincent Gripon, Ghouthi B. Hacene, Matthias Löwe, Franck Vermet
Improving Accuracy of Nonparametric Transfer Learning Via Vector Segmentation. ICASSP (2018)
Vincent Gripon, Ghouthi B. Hacene, Matthias Löwe, Franck Vermet
Improving Accuracy of Nonparametric Transfer Learning via Vector Segmentation. CoRR (2017)
Vincent Gripon, Matthias Löwe, Franck Vermet
Associative Memories to Accelerate Approximate Nearest Neighbor Search. CoRR (2016)
Mirko Ebbers, Holger Knöpfel, Matthias Löwe, Franck Vermet
Mixing times for the Swapping Algorithm on the Blume-Emery-Griffiths model. Random Struct. Algorithms 45 (1) (2014)
Remco van der Hofstad, Matthias Löwe, Franck Vermet
The Effect of System Load on the Existence of Bit Errors in CDMA With and Without Parallel Interference Cancelation. IEEE Trans. Inf. Theory 52 (10) (2006)