Julyan Arbel

发表

Dictionary-Free MR Fingerprinting Parameter Estimation Via Inverse Regression

Florence Forbes, Fabien Boux, Julyan Arbel, 2018 .

Introduction to Bayesian nonparametric statistics

Julyan Arbel, J. Arbel, 2018 .

Discussions of the paper "Sparse graphs using exchangeable random measures" by F. Caron and E. B. Fox

Julyan Arbel, Marco Battiston, Stefano Favaro, 2017 .

DATASAFE: understanding Data Accidents for TrAffic SAFEty Acknowledgments

Maria Laura Delle Monache, Julyan Arbel, Aleksandra Malkova, 2018 .

Approximate Bayesian Computation Via the Energy Statistic

Florence Forbes, Julyan Arbel, Hien Duy Nguyen, 2019, IEEE Access.

Dictionary learning via regression: vascular MRI application

Florence Forbes, Fabien Boux, Julyan Arbel, 2019 .

Bayesian nonparametric priors for hidden Markov random fields

Julyan Arbel, Florence Forbes, Hongliang Lü, 2018, Stat. Comput..

Dictionary-based Learning in MR Fingerprinting: Statistical Learning versus Deep Learning

Fabien Boux, Julyan Arbel, Florence Forbes, 2020 .

Full Bayesian inference with hazard mixture models

Julyan Arbel, Antonio Lijoi, Bernardo Nipoti, 2014, Comput. Stat. Data Anal..

Bayesian neural networks increasingly sparsify their units with depth pdf

Pablo Mesejo, Julyan Arbel, Mariia Vladimirova, 2018, ArXiv.

Bayesian neural network priors at the level of units

Pablo Mesejo, Julyan Arbel, Mariia Vladimirova, 2018 .

Dirichlet process mixtures under affine transformations of the data

Julyan Arbel, Bernardo Nipoti, Riccardo Corradin, 2018, Comput. Stat..

Applications in Industry

Kerrie Mengersen, Julyan Arbel, Nicole White, 2019 .

Bayesian neural networks become heavier-tailed with depth

Pablo Mesejo, Julyan Arbel, Mariia Vladimirova, 2018, NIPS 2018.

Some distributional properties of Bayesian neural networks

Julyan Arbel, J. Arbel, 2018 .

Dependence properties and Bayesian inference for asymmetric multivariate copulas

Julyan Arbel, Marta Crispino, St'ephane Girard, 2019, J. Multivar. Anal..

Non parametric Bayesian priors for hidden Markov random fields

Hongliang Lu, Florence Forbes, Julyan Arbel, 2018 .

A moment-matching Ferguson & Klass algorithm

Julyan Arbel, Igor Prünster, I. Prünster, 2016, Stat. Comput..

Bayesian nonparametric inference for discovery probabilities

Julyan Arbel, 2017 .

Bayesian nonparametric clustering

Julyan Arbel, 2017 .

Unsupervised classification in high dimension

Julyan Arbel, Charles Bouveyron, Didier Fraix-Burnet, 2017 .

Bayesian nonparametric mixture models and clustering

Julyan Arbel, 2017 .

Understanding Priors in Bayesian Neural Networks at the Unit Level

Pablo Mesejo, Julyan Arbel, Jakob Verbeek, 2018, ICML.

LDpred2: better, faster, stronger

Bjarni J. Vilhjálmsson, Julyan Arbel, Florian Privé, 2020, bioRxiv.

Bayesian Nonparametric Priors for Graph Structured Data: Application to Image Segmentation

Hongliang Lu, Florence Forbes, Julyan Arbel, 2020 .

Bayesian Inverse Regression for Vascular Magnetic Resonance Fingerprinting

Florence Forbes, Fabien Boux, Julyan Arbel, 2020, IEEE Transactions on Medical Imaging.

Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients

Julyan Arbel, Michel Dojat, Florence Forbes, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Bayesian neural network unit priors and generalized Weibull-tail property

Julyan Arbel, Mariia Vladimirova, St'ephane Girard, 2021, ACML.

Approximate Bayesian computation with surrogate posteriors

Florence Forbes, Julyan Arbel, Hien D. Nguyen, 2021 .

Dependence between Bayesian neural network units

Julyan Arbel, Mariia Vladimirova, St'ephane Girard, 2021 .

Bayesian Optimal Adaptive Estimation Using a Sieve Prior

Judith Rousseau, Julyan Arbel, Ghislaine Gayraud, 2012, 1204.2392.

Bayesian Survival Model based on Moment Characterization

Julyan Arbel, Antonio Lijoi, Bernardo Nipoti, 2015 .