Julyan Arbel

40 papers A* 3B 1C 2Journal 30Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bounding Box Anomaly Scoring for simple and efficient Out-of-Distribution detection.
CoRR
Mohamed Bahi Yahiaoui, Geoffrey Daniel, Loïc Giraldi, Jérémie Bruyelle, Julyan Arbel
2025 J jnl
Error analysis of a compositional score-based algorithm for simulation-based inference.
CoRR
Camille Touron, Gabriel Victorino Cardoso, Julyan Arbel, Pedro L. C. Rodrigues
2025 J jnl
Gaussian Pre-Activations in Neural Networks: Myth or Reality?
Trans. Mach. Learn. Res.
Pierre Wolinski, Julyan Arbel
2025 B conf
Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit.
ALT
Julien Zhou, Pierre Gaillard, Thibaud Rahier, Julyan Arbel
2025 J jnl
Natural Variational Annealing for Multimodal Optimization.
CoRR
Tâm Le Minh, Julyan Arbel, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Florence Forbes
2025 J jnl
Simulation-based inference of yeast centromeres.
CoRR
Eloïse Touron, Pedro L. C. Rodrigues, Julyan Arbel, Nelle Varoquaux, Michael Arbel
2025 — conf
U-ensembles: Improved diversity in the small data regime using unlabeled data.
AABI
Konstantinos Pitas, Hani Anouar Bourrous, Julyan Arbel
2024 J jnl
Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms.
Trans. Mach. Learn. Res.
Daria Bystrova, Charles K. Assaad, Julyan Arbel, Emilie Devijver, Éric Gaussier, Wilfried Thuiller
2024 J jnl
Covariance-Adaptive Least-Squares Algorithm for Stochastic Combinatorial Semi-Bandits.
CoRR
Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel
2024 J jnl
Just rotate it! Uncertainty estimation in closed-source models via multiple queries.
CoRR
Konstantinos Pitas, Julyan Arbel
2024 J jnl
Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit.
CoRR
Julien Zhou, Pierre Gaillard, Thibaud Rahier, Julyan Arbel
2024 J jnl
Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI.
CoRR
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
2024 A* conf
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI.
ICML
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
2024 J jnl
Shrinkage for extreme partial least-squares.
Stat. Comput.
Julyan Arbel, Stéphane Girard, Hadrien Lorenzo
2024 A* conf
Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits.
NeurIPS
Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel
2023 J jnl
A Primer on Bayesian Neural Networks: Review and Debates.
CoRR
Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova, Vincent Fortuin
2023 J jnl
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review.
CoRR
Minh Tri Le, Pierre Wolinski, Julyan Arbel
2023 J jnl
Hybrids of Constraint-based and Noise-based Algorithms for Causal Discovery from Time Series.
CoRR
Charles K. Assaad, Daria Bystrova, Julyan Arbel, Emilie Devijver, Éric Gaussier, Wilfried Thuiller
2023 — conf
Regularization for Hybrid N-Bit Weight Quantization of Neural Networks on Ultra-Low Power Microcontrollers.
ICANN (5)
Minh Tri Le, Etienne de Foras, Julyan Arbel
2023 J jnl
Reparameterization of extreme value framework for improved Bayesian workflow.
Comput. Stat. Data Anal.
Théo Moins, Julyan Arbel, Stéphane Girard, Anne Dutfoy
2023 J jnl
Something for (almost) nothing: Improving deep ensemble calibration using unlabeled data.
CoRR
Konstantinos Pitas, Julyan Arbel
2023 C conf
The Fine Print on Tempered Posteriors.
ACML
Konstantinos Pitas, Julyan Arbel
2023 J jnl
The fine print on tempered posteriors.
CoRR
Konstantinos Pitas, Julyan Arbel
2023 — conf
TinyMLOps for real-time ultra-low power MCUs applied to frame-based event classification.
EuroMLSys@EuroSys
Minh Tri Le, Julyan Arbel
2022 J jnl
Cold Posteriors through PAC-Bayes.
CoRR
Konstantinos Pitas, Julyan Arbel
2022 J jnl
Imposing Gaussian Pre-Activations in a Neural Network.
CoRR
Pierre Wolinski, Julyan Arbel
2022 J jnl
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors.
Stat. Comput.
Florence Forbes, Hien Duy Nguyen, TrungTin Nguyen, Julyan Arbel
2021 J jnl
Bayesian Inverse Regression for Vascular Magnetic Resonance Fingerprinting.
IEEE Trans. Medical Imaging
Fabien Boux, Florence Forbes, Julyan Arbel, Benjamin Lemasson, Emmanuel Luc Barbier
2021 C conf
Bayesian neural network unit priors and generalized Weibull-tail property.
ACML
Mariia Vladimirova, Julyan Arbel, Stéphane Girard
2021 J jnl
Bayesian neural network unit priors and generalized Weibull-tail property.
CoRR
Mariia Vladimirova, Julyan Arbel, Stéphane Girard
2021 J jnl
Dirichlet process mixtures under affine transformations of the data.
Comput. Stat.
Julyan Arbel, Riccardo Corradin, Bernardo Nipoti
2021 J jnl
LDpred2: better, faster, stronger.
Bioinform.
Florian Privé, Julyan Arbel, Bjarni J. Vilhjálmsson
2020 J jnl
Approximate Bayesian Computation Via the Energy Statistic.
IEEE Access
Hien Duy Nguyen, Julyan Arbel, Hongliang Lü, Florence Forbes
2020 J jnl
Bayesian nonparametric priors for hidden Markov random fields.
Stat. Comput.
Hongliang Lü, Julyan Arbel, Florence Forbes
2019 J jnl
Dependence properties and Bayesian inference for asymmetric multivariate copulas.
J. Multivar. Anal.
Julyan Arbel, Marta Crispino, Stéphane Girard
2019 — conf
Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients.
ISBI
Verónica Muñoz Ramírez, Florence Forbes, Julyan Arbel, Alexis Arnaud, Michel Dojat
2019 A* conf
Understanding Priors in Bayesian Neural Networks at the Unit Level.
ICML
Mariia Vladimirova, Jakob Verbeek, Pablo Mesejo, Julyan Arbel
2018 J jnl
Bayesian neural networks increasingly sparsify their units with depth.
CoRR
Mariia Vladimirova, Julyan Arbel, Pablo Mesejo
2017 J jnl
A moment-matching Ferguson & Klass algorithm.
Stat. Comput.
Julyan Arbel, Igor Prünster
2016 J jnl
Full Bayesian inference with hazard mixture models.
Comput. Stat. Data Anal.
Julyan Arbel, Antonio Lijoi, Bernardo Nipoti