Julyan Arbel

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Stéphane GirardInria, FranceVerified email at inrialpes.fr
Florence ForbesDirector of Research, INRIA, Grenoble Rhone-AlpesVerified email at inria.fr
Daria BystrovaInria Grenoble Rhone-Alpes, Laboratoire d'Ecologie Alpine, CNRS, Universite Grenoble AlpesVerified email at inria.fr
Mariia VladimirovaSenior Researcher @ Criteo AI LabVerified email at criteo.com
Hien Duy NguyenLa Trobe University and Kyushu UniversityVerified email at latrobe.edu.au
Wilfried ThuillerSenior Scientist, Laboratoire d'Ecologie Alpine, CNRS, Univ. Grenoble Alpes, FranceVerified email at univ-grenoble-alpes.fr
Igor PrünsterProfessor of Statistics, Bocconi UniversityVerified email at carloalberto.org
Florian PrivéAarhus UniversityVerified email at au.dk
Bjarni J. VilhjalmssonNational Center for Register-based Research, Aarhus University, DenmarkVerified email at au.dk
Giovanni PoggiatoPhd student, Laboratoire d'Ecologie Alpine, CNRS, Univ. Grenoble Alpes, FranceVerified email at univ-grenoble-alpes.fr
Bernardo NipotiUniversity of Milano Bicocca, ItalyVerified email at unimib.it
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
Judith RousseauUniversity of oxfordVerified email at stats.ox.ac.uk
Guillaume Kon Kam KingUniversité Paris-Saclay, INRAE, MaIAGE, 78350, Jouy-en-Josas, FranceVerified email at inrae.fr
Kerrie MengersenQueensland University of TechnologyVerified email at qut.edu.au
Pablo MesejoAssociate Professor, University of Granada & chief AI officer, Panacea Cooperative ResearchVerified email at decsai.ugr.es
Vincent FortuinPrincipal Investigator, Helmholtz AI & TU MunichVerified email at tum.de
Emmanuel BarbierInserm / Université Grenoble AlpesVerified email at univ-grenoble-alpes.fr
Fabien BouxPhD Biomedical Data ScientistVerified email at univ-grenoble-alpes.fr
TrungTin NguyenPostdoctoral Research Fellow at Queensland University of Technology, AustraliaVerified email at qut.edu.au

Julyan Arbel

Inria - Univ. Grenoble Alpes

Verified email at inria.fr - Homepage

Bayesian deep learning Bayesian nonparametrics Statistics


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LDpred2: better, faster, stronger F Privé, J Arbel, BJ Vilhjálmsson Bioinformatics 36 (22-23), 5424-5431, 2020	632	2020
On the interpretations of joint modeling in community ecology G Poggiato, T Münkemüller, D Bystrova, J Arbel, JS Clark, W Thuiller Trends in ecology & evolution 36 (5), 391-401, 2021	136	2021
Sub‐Weibull distributions: Generalizing sub‐Gaussian and sub‐Exponential properties to heavier tailed distributions M Vladimirova, S Girard, H Nguyen, J Arbel Stat 9 (1), e318, 2020	111	2020
Understanding priors in Bayesian neural networks at the unit level M Vladimirova, J Verbeek, P Mesejo, J Arbel International Conference on Machine Learning, 2018	100*	2018
On the sub-Gaussianity of the Beta and Dirichlet distributions O Marchal, J Arbel Electronic Communications in Probability 22, 1-14, 2017	98	2017
Bayesian optimal adaptive estimation using a sieve prior J Arbel, G Gayraud, J Rousseau Scandinavian Journal of Statistics 40 (3), 549-570, 2013	64	2013
Position: Bayesian deep learning is needed in the age of large-scale AI T Papamarkou, M Skoularidou, K Palla, L Aitchison, J Arbel, D Dunson, ... arXiv preprint arXiv:2402.00809, 2024	53*	2024
Identifying and correcting for misspecifications in GWAS summary statistics and polygenic scores F Privé, J Arbel, H Aschard, BJ Vilhjálmsson Human Genetics and Genomics Advances 3 (4), 2022	53	2022
Inferring disease architecture and predictive ability with LDpred2-auto F Privé, C Albiñana, J Arbel, B Pasaniuc, BJ Vilhjálmsson The American Journal of Human Genetics 110 (12), 2042-2055, 2023	40	2023
Approximate Bayesian computation via the energy statistic HD Nguyen, J Arbel, H Lü, F Forbes IEEE Access 8, 131683-131698, 2020	37	2020
Stochastic approximations to the Pitman–Yor process J Arbel, P De Blasi, I Prünster Bayesian Analysis 14 (4), 753--771, 2019	33	2019
Bayesian inverse regression for vascular magnetic resonance fingerprinting F Boux, F Forbes, J Arbel, B Lemasson, EL Barbier IEEE Transactions on Medical Imaging 40 (7), 1827-1837, 2021	31*	2021
On strict sub-Gaussianity, optimal proxy variance and symmetry for bounded random variables J Arbel, O Marchal, HD Nguyen ESAIM: Probability and Statistics 24, 39-55, 2020	30	2020
Bayesian nonparametric dependent model for partially replicated data: the influence of fuel spills on species diversity J Arbel, K Mengersen, J Rousseau The Annals of Applied Statistics, 1496-1516, 2016	30*	2016
A moment-matching Ferguson & Klass algorithm J Arbel, I Prünster Statistics and Computing 27 (1), 3-17, 2016	28	2016
Full Bayesian inference with hazard mixture models J Arbel, A Lijoi, B Nipoti Computational Statistics & Data Analysis 93, 359-372, 2016	26*	2016
A primer on Bayesian neural networks: review and debates J Arbel, K Pitas, M Vladimirova, V Fortuin Statistical Science, 2024	23	2024
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors F Forbes, HD Nguyen, TT Nguyen, J Arbel Statistics and Computing 32 (5), 85, 2022	22*	2022
Bayesian nonparametric inference for discovery probabilities: credible intervals and large sample asymptotics J Arbel, S Favaro, B Nipoti, YW Teh Statistica Sinica 27, 839-858, 2017	22	2017
On the use of a local R-hat to improve MCMC convergence diagnostic T Moins, J Arbel, A Dutfoy, S Girard Bayesian Analysis, 2023	20*	2023

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