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ORCIDJulyan Arbel
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2020 – today
- 2024
[j12]Julyan Arbel, Stéphane Girard, Hadrien Lorenzo:
Shrinkage for extreme partial least-squares. Stat. Comput. 34(6): 181 (2024)- [j11]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) - [c7]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: Bayesian Deep Learning is Needed in the Age of Large-Scale AI. ICML 2024 - [i12]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 abs/2402.00809 (2024) - [i11]Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel:
Covariance-Adaptive Least-Squares Algorithm for Stochastic Combinatorial Semi-Bandits. CoRR abs/2402.15171 (2024) - [i10]Konstantinos Pitas, Julyan Arbel:
Just rotate it! Uncertainty estimation in closed-source models via multiple queries. CoRR abs/2405.13864 (2024) - 2023
- [j10]Théo Moins, Julyan Arbel
, Stéphane Girard, Anne Dutfoy:
Reparameterization of extreme value framework for improved Bayesian workflow. Comput. Stat. Data Anal. 187: 107807 (2023) - [c6]Konstantinos Pitas, Julyan Arbel:
The Fine Print on Tempered Posteriors. ACML 2023: 1087-1102 - [c5]Minh Tri Le, Julyan Arbel:
TinyMLOps for real-time ultra-low power MCUs applied to frame-based event classification. EuroMLSys@EuroSys 2023: 148-153 - [c4]Minh Tri Le, Etienne de Foras, Julyan Arbel:
Regularization for Hybrid N-Bit Weight Quantization of Neural Networks on Ultra-Low Power Microcontrollers. ICANN (5) 2023: 435-446 - [i9]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 abs/2306.08765 (2023) - [i8]Konstantinos Pitas, Julyan Arbel:
The fine print on tempered posteriors. CoRR abs/2309.05292 (2023) - [i7]Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova, Vincent Fortuin:
A Primer on Bayesian Neural Networks: Review and Debates. CoRR abs/2309.16314 (2023) - [i6]Konstantinos Pitas, Julyan Arbel:
Something for (almost) nothing: Improving deep ensemble calibration using unlabeled data. CoRR abs/2310.02885 (2023) - [i5]Minh Tri Le, Pierre Wolinski, Julyan Arbel:
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review. CoRR abs/2311.11883 (2023) - 2022
- [j9]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): 85 (2022) - [i4]Pierre Wolinski, Julyan Arbel:
Imposing Gaussian Pre-Activations in a Neural Network. CoRR abs/2205.12379 (2022) - [i3]Konstantinos Pitas, Julyan Arbel:
Cold Posteriors through PAC-Bayes. CoRR abs/2206.11173 (2022) - 2021
- [j8]Florian Privé, Julyan Arbel, Bjarni J. Vilhjálmsson:
LDpred2: better, faster, stronger. Bioinform. 36(22-23): 5424-5431 (2021) - [j7]Julyan Arbel, Riccardo Corradin, Bernardo Nipoti:
Dirichlet process mixtures under affine transformations of the data. Comput. Stat. 36(1): 577-601 (2021) - [j6]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): 1827-1837 (2021) - [c3]Mariia Vladimirova, Julyan Arbel, Stéphane Girard:
Bayesian neural network unit priors and generalized Weibull-tail property. ACML 2021: 1397-1412 - [i2]Mariia Vladimirova, Julyan Arbel, Stéphane Girard:
Bayesian neural network unit priors and generalized Weibull-tail property. CoRR abs/2110.02885 (2021) - 2020
- [j5]Hien Duy Nguyen, Julyan Arbel, Hongliang Lü, Florence Forbes:
Approximate Bayesian Computation Via the Energy Statistic. IEEE Access 8: 131683-131698 (2020) - [j4]Hongliang Lü, Julyan Arbel, Florence Forbes:
Bayesian nonparametric priors for hidden Markov random fields. Stat. Comput. 30(4): 1015-1035 (2020)
2010 – 2019
- 2019
- [j3]Julyan Arbel, Marta Crispino, Stéphane Girard:
Dependence properties and Bayesian inference for asymmetric multivariate copulas. J. Multivar. Anal. 174 (2019) - [c2]Mariia Vladimirova, Jakob Verbeek, Pablo Mesejo, Julyan Arbel:
Understanding Priors in Bayesian Neural Networks at the Unit Level. ICML 2019: 6458-6467 - [c1]Verónica Muñoz Ramírez, Florence Forbes, Julyan Arbel, Alexis Arnaud, Michel Dojat:
Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients. ISBI 2019: 1572-1575 - 2018
- [i1]Mariia Vladimirova, Julyan Arbel, Pablo Mesejo:
Bayesian neural networks increasingly sparsify their units with depth. CoRR abs/1810.05193 (2018) - 2017
- [j2]Julyan Arbel, Igor Prünster:
A moment-matching Ferguson & Klass algorithm. Stat. Comput. 27(1): 3-17 (2017) - 2016
- [j1]Julyan Arbel, Antonio Lijoi, Bernardo Nipoti:
Full Bayesian inference with hazard mixture models. Comput. Stat. Data Anal. 93: 359-372 (2016)
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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