Julyan Arbel

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 28

Top Topics

Bayesian Inference

Top Venues

Comput. Stat. Data Anal.

Publications

Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel
Covariance-Adaptive Least-Squares Algorithm for Stochastic Combinatorial Semi-Bandits. CoRR (2024)
Konstantinos Pitas, Julyan Arbel
Just rotate it! Uncertainty estimation in closed-source models via multiple queries. CoRR (2024)
Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang
Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI. CoRR (2024)
Daria Bystrova, Charles K. Assaad, Julyan Arbel, Emilie Devijver, Éric Gaussier, Wilfried Thuiller
Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms. Trans. Mach. Learn. Res. 2024 (2024)
Théo Moins, Julyan Arbel, Stéphane Girard, Anne Dutfoy
Reparameterization of extreme value framework for improved Bayesian workflow. Comput. Stat. Data Anal. 187 (2023)
Minh Tri Le, Julyan Arbel
TinyMLOps for real-time ultra-low power MCUs applied to frame-based event classification. EuroMLSys@EuroSys (2023)
Minh Tri Le, Pierre Wolinski, Julyan Arbel
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review. CoRR (2023)
Charles K. Assaad, Daria Bystrova, Julyan Arbel, Emilie Devijver, Éric Gaussier, Wilfried Thuiller
Hybrids of Constraint-based and Noise-based Algorithms for Causal Discovery from Time Series. CoRR (2023)
Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova, Vincent Fortuin
A Primer on Bayesian Neural Networks: Review and Debates. CoRR (2023)
Konstantinos Pitas, Julyan Arbel
The fine print on tempered posteriors. CoRR (2023)
Konstantinos Pitas, Julyan Arbel
Something for (almost) nothing: Improving deep ensemble calibration using unlabeled data. CoRR (2023)
Konstantinos Pitas, Julyan Arbel
The Fine Print on Tempered Posteriors. ACML (2023)
Konstantinos Pitas, Julyan Arbel
Cold Posteriors through PAC-Bayes. CoRR (2022)
Pierre Wolinski, Julyan Arbel
Imposing Gaussian Pre-Activations in a Neural Network. CoRR (2022)
Florence Forbes, Hien Duy Nguyen, TrungTin Nguyen, Julyan Arbel
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors. Stat. Comput. 32 (5) (2022)
Mariia Vladimirova, Julyan Arbel, Stéphane Girard
Bayesian neural network unit priors and generalized Weibull-tail property. CoRR (2021)
Mariia Vladimirova, Julyan Arbel, Stéphane Girard
Bayesian neural network unit priors and generalized Weibull-tail property. ACML (2021)
Julyan Arbel, Riccardo Corradin, Bernardo Nipoti
Dirichlet process mixtures under affine transformations of the data. Comput. Stat. 36 (1) (2021)
Fabien Boux, Florence Forbes, Julyan Arbel, Benjamin Lemasson, Emmanuel Luc Barbier
Bayesian Inverse Regression for Vascular Magnetic Resonance Fingerprinting. IEEE Trans. Medical Imaging 40 (7) (2021)
Florian Privé, Julyan Arbel, Bjarni J. Vilhjálmsson
LDpred2: better, faster, stronger. Bioinform. 36 (22-23) (2021)
Hongliang Lü, Julyan Arbel, Florence Forbes
Bayesian nonparametric priors for hidden Markov random fields. Stat. Comput. 30 (4) (2020)
Hien Duy Nguyen, Julyan Arbel, Hongliang Lü, Florence Forbes
Approximate Bayesian Computation Via the Energy Statistic. IEEE Access 8 (2020)
Mariia Vladimirova, Jakob Verbeek, Pablo Mesejo, Julyan Arbel
Understanding Priors in Bayesian Neural Networks at the Unit Level. ICML (2019)
Verónica Muñoz Ramírez, Florence Forbes, Julyan Arbel, Alexis Arnaud, Michel Dojat
Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients. ISBI (2019)
Julyan Arbel, Marta Crispino, Stéphane Girard
Dependence properties and Bayesian inference for asymmetric multivariate copulas. J. Multivar. Anal. 174 (2019)
Mariia Vladimirova, Julyan Arbel, Pablo Mesejo
Bayesian neural networks increasingly sparsify their units with depth. CoRR (2018)
Julyan Arbel, Igor Prünster
A moment-matching Ferguson & Klass algorithm. Stat. Comput. 27 (1) (2017)
Julyan Arbel, Antonio Lijoi, Bernardo Nipoti
Full Bayesian inference with hazard mixture models. Comput. Stat. Data Anal. 93 (2016)