Mame Diarra Fall

14 papers B 2C 1Misc 2Journal 4Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
A simple and efficient method for sampling mixture models based on Dirichlet and Pitman-Yor processes.
Comput. Stat.
Mame Diarra Fall, Eric Barat
2025 J jnl
Bregman geometry-aware split Gibbs sampling for Bayesian Poisson inverse problems.
CoRR
Elhadji C. Faye, Mame Diarra Fall, Nicolas Dobigeon, Eric Barat
2025 J jnl
Regularization by Denoising: Bayesian Model and Langevin-Within-Split Gibbs Sampling.
IEEE Trans. Image Process.
Elhadji C. Faye, Mame Diarra Fall, Nicolas Dobigeon
2025 Misc conf
Vision Transformers for X-ray Diffraction Patterns Analysis.
ICASSP
Titouan Simonnet, Mame Diarra Fall, Sylvain Grangeon, Bruno Galerne
2025 — conf
Which Uncertainty Quantification Method in Deep Learning Models for Knee Osteoarthritis Diagnosis?
SSP
Mame Diarra Fall, Elhadji C. Faye
2024 C conf
Bayesian Formulation of Regularization by Denoising - Model and Monte Carlo Sampling.
MMSP
Elhadji C. Faye, Mame Diarra Fall, Aladine Chetouani, Nicolas Dobigeon
2024 — conf
Quantifying Uncertainty in Knee Osteoarthritis Diagnosis.
ISBI
Mame Diarra Fall
2024 J jnl
Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling.
CoRR
Elhadji C. Faye, Mame Diarra Fall, Nicolas Dobigeon
2023 — conf
Proportion Inference Using Deep Neural Networks. Applications to X-Ray Diffraction and Hyperspectral Imaging.
EUSIPCO
Titouan Simonnet, Mame Diarra Fall, Bruno Galerne, Francis Claret, Sylvain Grangeon
2022 — conf
A Bayesian Estimation Formulation to Voxel-Based Lesion-Symptom Mapping.
EUSIPCO
Mame Diarra Fall, Nicolas Dobigeon, Pascal Auzou
2018 Misc conf
Voxel-Based Lesion-Symptom Mapping: A Nonparametric Bayesian Approach.
ICASSP
Mame Diarra Fall, Emilie Lavau, Pascal Auzou
2013 B conf
Dynamic and clinical PET data reconstruction: A nonparametric Bayesian approach.
ICIP
Mame Diarra Fall, Eric Barat, Claude Comtat, Thomas Dautremer, Thierry Montagu, Simon Stute
2012 — —
Modélisation stochastique de processus pharmaco-cinétiques, application à la reconstruction tomographique par émission de positrons (TEP) spatio-temporelle. (Stochastic modeling of pharmaco-kinetic processes, applied to PET space-time reconstruction).
Mame Diarra Fall
2011 B conf
A discrete-continuous Bayesian model for Emission Tomography.
ICIP
Mame Diarra Fall, Eric Barat, Claude Comtat, Thomas Dautremer, Thierry Montagu, Ali Mohammad-Djafari