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Journal Articles
- 2014
[j2]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): 38-77 (2014)- 2006
- [j1]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): 4733-4741 (2006)
Conference and Workshop Papers
- 2024
- [c6]Naoufal El Bekri, Lucas Drumetz, Franck Vermet:
Time Changed Normalizing Flows for Accurate SDE Modeling. ICASSP 2024: 6395-6399 - [c5]Corentin Vazia, Alexandre Bousse, Béatrice Vedel, Franck Vermet, Zhihan Wang, Thore Dassow, Jean-Pierre Tasu, Dimitris Visvikis, Jacques Froment:
Diffusion Posterior Sampling for Synergistic Reconstruction in Spectral Computed Tomography. ISBI 2024: 1-5 - 2022
- [c4]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: 3-18 - 2021
- [c3]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: 433-443 - [c2]Théo Giraudon, Vincent Gripon, Matthias Löwe, Franck Vermet:
Towards an Intrinsic Definition of Robustness for a Classifier. ICASSP 2021: 4015-4019 - 2018
- [c1]Vincent Gripon, Ghouthi B. Hacene, Matthias Löwe, Franck Vermet:
Improving Accuracy of Nonparametric Transfer Learning Via Vector Segmentation. ICASSP 2018: 2966-2970
Informal and Other Publications
- 2024
- [i11]Raphaël Lafargue, Luke Smith, Franck Vermet, Mathias Löwe, Ian D. Reid, Vincent Gripon, Jack Valmadre:
Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning. CoRR abs/2409.02850 (2024) - 2023
- [i10]Mulah Moriah, Franck Vermet, Arthur Charpentier:
Measuring and Mitigating Biases in Motor Insurance Pricing. CoRR abs/2311.11900 (2023) - [i9]Naoufal El Bekri, Lucas Drumetz, Franck Vermet:
Time-changed normalizing flows for accurate SDE modeling. CoRR abs/2312.14698 (2023) - 2022
- [i8]Dimitri Delcaillau, Antoine Ly, Alizé Papp, Franck Vermet:
Model Transparency and Interpretability : Survey and Application to the Insurance Industry. CoRR abs/2209.00562 (2022) - [i7]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 abs/2209.15398 (2022) - 2021
- [i6]Arthur Charpentier, Lariosse Kouakou, Matthias Löwe, Philipp Ratz, Franck Vermet:
Collaborative Insurance Sustainability and Network Structure. CoRR abs/2107.02764 (2021) - 2020
- [i5]Théo Giraudon, Vincent Gripon, Matthias Löwe, Franck Vermet:
Towards an Intrinsic Definition of Robustness for a Classifier. CoRR abs/2006.05095 (2020) - [i4]Dimitri Delcaillau, Antoine Ly, Franck Vermet, Alizé Papp:
Interpretabilité des modèles : état des lieux des méthodes et application à l'assurance. CoRR abs/2007.12919 (2020) - [i3]Vincent Gripon, Matthias Löwe, Franck Vermet:
Some Remarks on Replicated Simulated Annealing. CoRR abs/2009.14702 (2020) - 2017
- [i2]Vincent Gripon, Ghouthi B. Hacene, Matthias Löwe, Franck Vermet:
Improving Accuracy of Nonparametric Transfer Learning via Vector Segmentation. CoRR abs/1710.08637 (2017) - 2016
- [i1]Vincent Gripon, Matthias Löwe, Franck Vermet:
Associative Memories to Accelerate Approximate Nearest Neighbor Search. CoRR abs/1611.05898 (2016)
Coauthor Index
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